Paper Digest: Recent Papers on Semantic Segmentation
Paper Digest Team extracted all recent Semantic Segmentation related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
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TABLE 1: Paper Digest: Recent Papers on Semantic Segmentation
Paper | Author(s) | Source | Date | |
---|---|---|---|---|
1 | Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping Through Zero-shot Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this often comes at the cost of limited performance and fine-tuning is required to be effective in robot grasping scenarios. In this work, we propose to overcome all these limitations by combining the impressive generalization capability reached by foundation models with a high-performing few-shot classifier, working as a score function to select the segmentation that is closer to the support set. |
Leonardo Barcellona; Alberto Bacchin; Matteo Terreran; Emanuele Menegatti; Stefano Ghidoni; | arxiv-cs.RO | 2024-04-19 |
2 | Foundation Model Assisted Weakly Supervised LiDAR Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose annotating images with scattered points, followed by utilizing SAM (a Foundation model) to generate semantic segmentation labels for the images. |
YILONG CHEN et. al. | arxiv-cs.CV | 2024-04-19 |
3 | Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Contrastive Gaussian Clustering, a novel approach capable of provide segmentation masks from any viewpoint and of enabling 3D segmentation of the scene. |
Myrna C. Silva; Mahtab Dahaghin; Matteo Toso; Alessio Del Bue; | arxiv-cs.CV | 2024-04-19 |
4 | COIN: Counterfactual Inpainting for Weakly Supervised Semantic Segmentation for Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For instance, if the classifier deems an input medical image X as abnormal, indicating the presence of a pathology, the generative model aims to inpaint the abnormal region, thus reversing the classifier’s original prediction label. |
Dmytro Shvetsov; Joonas Ariva; Marharyta Domnich; Raul Vicente; Dmytro Fishman; | arxiv-cs.CV | 2024-04-19 |
5 | Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Nevertheless, we observe that simply integrating SAM yields limited benefits and can even lead to performance regression due to the inevitable noise issues and challenges in excessive focus on object parts. In this paper, we present an innovative framework, Point PrompTing (PPT), incorporated with the proposed multi-source curriculum learning strategy to address these challenges. |
Qiyuan Dai; Sibei Yang; | arxiv-cs.CV | 2024-04-18 |
6 | ELEV-VISION-SAM: Integrated Vision Language and Foundation Model for Automated Estimation of Building Lowest Floor Elevation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While existing methods rely on object detection, the introduction of image segmentation has broadened street view images’ utility for LFE estimation, although challenges still remain in segmentation quality and capability to distinguish front doors from other doors. To address these challenges in LFE estimation, this study integrates the Segment Anything model, a segmentation foundation model, with vision language models to conduct text-prompt image segmentation on street view images for LFE estimation. |
Yu-Hsuan Ho; Longxiang Li; Ali Mostafavi; | arxiv-cs.CV | 2024-04-18 |
7 | How to Benchmark Vision Foundation Models for Semantic Segmentation? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The lack of a standardized benchmark complicates comparisons. Therefore, the primary objective of this paper is to study how VFMs should be benchmarked for semantic segmentation. |
Tommie Kerssies; Daan de Geus; Gijs Dubbelman; | arxiv-cs.CV | 2024-04-18 |
8 | Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop a new model for semantic segmentation of unlabelled images, the Non-annotated Earth Observation Semantic Segmentation (NEOS) model. |
Nikolaos Dionelis; Francesco Pro; Luca Maiano; Irene Amerini; Bertrand Le Saux; | arxiv-cs.CV | 2024-04-17 |
9 | Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel event-based motion segmentation algorithm using a Graph Transformer Neural Network, dubbed GTNN. |
Yusra Alkendi; Rana Azzam; Sajid Javed; Lakmal Seneviratne; Yahya Zweiri; | arxiv-cs.CV | 2024-04-16 |
10 | ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce ECLAIR (Extended Classification of Lidar for AI Recognition), a new outdoor large-scale aerial LiDAR dataset designed specifically for advancing research in point cloud semantic segmentation. |
Iaroslav Melekhov; Anand Umashankar; Hyeong-Jin Kim; Vladislav Serkov; Dusty Argyle; | arxiv-cs.CV | 2024-04-16 |
11 | Vocabulary-free Image Classification and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This assumption is impractical in scenarios with unknown or evolving semantic context. Here, we address this issue and introduce the Vocabulary-free Image Classification (VIC) task, which aims to assign a class from an unconstrained language-induced semantic space to an input image without needing a known vocabulary. |
ALESSANDRO CONTI et. al. | arxiv-cs.CV | 2024-04-16 |
12 | The Revenge of BiSeNet: Efficient Multi-Task Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing research has primarily concentrated on single-task settings, especially on semantic segmentation, leading to redundant efforts and specialized architectures for different tasks. To address this limitation, we propose a novel architecture for efficient multi-task image segmentation, capable of handling various segmentation tasks without sacrificing efficiency or accuracy. |
Gabriele Rosi; Claudia Cuttano; Niccolò Cavagnero; Giuseppe Averta; Fabio Cermelli; | arxiv-cs.CV | 2024-04-15 |
13 | Adapting The Segment Anything Model During Usage in Novel Situations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: On the used datasets, SAM displays a failure rate $\text{FR}_{30}@90$ of up to $72.6 \%$. Since we still want such foundation models to be immediately applicable, we present a framework that can adapt SAM during immediate usage. |
Robin Schön; Julian Lorenz; Katja Ludwig; Rainer Lienhart; | arxiv-cs.CV | 2024-04-12 |
14 | Improving Referring Image Segmentation Using Vision-Aware Text Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This over-reliance on visual features can lead to suboptimal results, especially in complex scenarios where text prompts are ambiguous or context-dependent. To overcome these challenges, we present a novel framework VATEX to improve referring image segmentation by enhancing object and context understanding with Vision-Aware Text Feature. |
HAI NGUYEN-TRUONG et. al. | arxiv-cs.CV | 2024-04-12 |
15 | Gaga: Group Any Gaussians Via 3D-aware Memory Bank Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Gaga, a framework that reconstructs and segments open-world 3D scenes by leveraging inconsistent 2D masks predicted by zero-shot segmentation models. |
Weijie Lyu; Xueting Li; Abhijit Kundu; Yi-Hsuan Tsai; Ming-Hsuan Yang; | arxiv-cs.CV | 2024-04-11 |
16 | Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To overcome such issues, gathering semantic information has been shown to be a promising source of information towards a more complete and discriminative feature representation of indoor scenes. Therefore, the work described in this paper uses both semantic information, obtained from object detection, and semantic segmentation techniques. |
Ricardo Pereira; Luís Garrote; Tiago Barros; Ana Lopes; Urbano J. Nunes; | arxiv-cs.CV | 2024-04-11 |
17 | Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing approaches often rely on impractical supervised pre-training or access to additional pre-trained networks. In this work, we propose a strong baseline for training-free OVSS, termed Neighbour-Aware CLIP (NACLIP), representing a straightforward adaptation of CLIP tailored for this scenario. |
Sina Hajimiri; Ismail Ben Ayed; Jose Dolz; | arxiv-cs.CV | 2024-04-11 |
18 | O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the purpose of preserving consistency in 3D object properties across different viewpoints, we propose a spatial adaptive voxel adjustment mechanism and a multi-view weight selection method. |
MUER TIE et. al. | arxiv-cs.CV | 2024-04-10 |
19 | DaF-BEVSeg: Distortion-aware Fisheye Camera Based Bird’s Eye View Segmentation with Occlusion Reasoning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We extend the model with an occlusion reasoning module, which is critical for estimating in BEV space. |
Senthil Yogamani; David Unger; Venkatraman Narayanan; Varun Ravi Kumar; | arxiv-cs.CV | 2024-04-09 |
20 | QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a two-step pipeline. |
YASH MEHAN et. al. | arxiv-cs.CV | 2024-04-09 |
21 | Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero Shot Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, we propose a simple unified framework, SaLIP, for organ segmentation. |
SIDRA ALEEM et. al. | arxiv-cs.CV | 2024-04-09 |
22 | Evaluating The Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to mitigate those issues, our study explores the effectiveness of a Cut-and-Paste augmentation technique for semantic segmentation in satellite images. We adapt this augmentation, which usually requires labeled instances, to the case of semantic segmentation. |
Ionut M. Motoi; Leonardo Saraceni; Daniele Nardi; Thomas A. Ciarfuglia; | arxiv-cs.CV | 2024-04-08 |
23 | D2SL: Decouple Defogging and Semantic Learning for Foggy Domain-Adaptive Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite making some progress, there are still two main drawbacks: (1) the coupling of segmentation and defogging feature representations, resulting in a decrease in semantic representation capability, and (2) the failure to leverage real fog priors in unlabeled foggy data, leading to insufficient model generalization ability. To address these issues, we propose a novel training framework, Decouple Defogging and Semantic learning, called D2SL, aiming to alleviate the adverse impact of defogging tasks on the final segmentation task. |
Xuan Sun; Zhanfu An; Yuyu Liu; | arxiv-cs.CV | 2024-04-07 |
24 | HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Many established vision perception systems for autonomous driving scenarios ignore the influence of light conditions, one of the key elements for driving safety. To address this problem, we present HawkDrive, a novel perception system with hardware and software solutions. |
Ziang Guo; Stepan Perminov; Mikhail Konenkov; Dzmitry Tsetserukou; | arxiv-cs.CV | 2024-04-06 |
25 | Frequency Decomposition-Driven Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: It is still challenging to retain cross-domain local spatial details and global contextual semantics simultaneously, which is crucial for the RS image semantic segmentation task. To address these problems, we propose novel high/low-frequency decomposition (HLFD) techniques to guide representation alignment in cross-domain semantic segmentation. |
Xianping Ma; Xiaokang Zhang; Xingchen Ding; Man-On Pun; Siwei Ma; | arxiv-cs.CV | 2024-04-06 |
26 | Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Panoptic Perception, a novel task and a new fine-grained dataset (FineGrip) to achieve a more thorough and universal interpretation for RSIs. |
DANPEI ZHAO et. al. | arxiv-cs.CV | 2024-04-06 |
27 | Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce Sigma, a Siamese Mamba network for multi-modal semantic segmentation, utilizing the Selective Structured State Space Model, Mamba. |
ZIFU WAN et. al. | arxiv-cs.CV | 2024-04-05 |
28 | Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We notice that there is a discrepancy between text alignment and semantic segmentation: A text often consists of multiple semantic concepts, whereas semantic segmentation strives to create semantically homogeneous segments. To address this issue, we propose a novel framework, Image-Text Co-Decomposition (CoDe), where the paired image and text are jointly decomposed into a set of image regions and a set of word segments, respectively, and contrastive learning is developed to enforce region-word alignment. |
JI-JIA WU et. al. | arxiv-cs.CV | 2024-04-05 |
29 | Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The proposed method successfully reduces background noise, leading to improved accuracy of pseudo labels. |
Izumi Fujimori; Masaki Oono; Masami Shishibori; | arxiv-cs.CV | 2024-04-04 |
30 | OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Indeed, point cloud and 3D meshes typically have a lower resolution than images and the reconstructed 3D scene geometry might not project well to the underlying 2D image sequences used to compute pixel-aligned CLIP features. To address these challenges, we propose OpenNeRF which naturally operates on posed images and directly encodes the VLM features within the NeRF. |
FRANCIS ENGELMANN et. al. | arxiv-cs.CV | 2024-04-04 |
31 | Flattening The Parent Bias: Hierarchical Semantic Segmentation in The Poincaré Ball Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We find that on the new testing domains, a flat (non-hierarchical) segmentation network, in which the parents are inferred from the children, has superior segmentation accuracy to the hierarchical approach across the board. Complementing these findings and inspired by the intrinsic properties of hyperbolic spaces, we study a more principled approach to hierarchical segmentation using the Poincar\’e ball model. |
Simon Weber; Barış Zöngür; Nikita Araslanov; Daniel Cremers; | arxiv-cs.CV | 2024-04-04 |
32 | Training-Free Semantic Segmentation Via LLM-Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a new approach to text-supervised semantic segmentation using supervision by a large language model (LLM) that does not require extra training. |
Wenfang Sun; Yingjun Du; Gaowen Liu; Ramana Kompella; Cees G. M. Snoek; | arxiv-cs.CV | 2024-03-31 |
33 | MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel framework, called MedCLIP-SAM that combines CLIP and SAM models to generate segmentation of clinical scans using text prompts in both zero-shot and weakly supervised settings. |
Taha Koleilat; Hojat Asgariandehkordi; Hassan Rivaz; Yiming Xiao; | arxiv-cs.CV | 2024-03-29 |
34 | Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, our investigation identifies three core deficiencies within the PAvPU framework and proposes robust solutions aimed at refining the metric. By addressing these issues, we aim to enhance the reliability and applicability of uncertainty quantification, especially in scenarios that demand high levels of safety and accuracy, thus contributing to the advancement of semantic segmentation methodologies in critical applications. |
Qitian Ma; Shyam Nanda Rai; Carlo Masone; Tatiana Tommasi; | arxiv-cs.AI | 2024-03-28 |
35 | Towards Temporally Consistent Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an end-to-end R-VOS paradigm that explicitly models temporal instance consistency alongside the referring segmentation. |
Bo Miao; Mohammed Bennamoun; Yongsheng Gao; Mubarak Shah; Ajmal Mian; | arxiv-cs.CV | 2024-03-28 |
36 | Efficient 3D Instance Mapping and Localization with Neural Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We tackle the problem of learning an implicit scene representation for 3D instance segmentation from a sequence of posed RGB images. Towards this, we introduce 3DIML, a novel framework that efficiently learns a label field that may be rendered from novel viewpoints to produce view-consistent instance segmentation masks. |
George Tang; Krishna Murthy Jatavallabhula; Antonio Torralba; | arxiv-cs.CV | 2024-03-28 |
37 | I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new knowledge distillation method tailored for image semantic segmentation, termed Intra- and Inter-Class Knowledge Distillation (I2CKD). |
Ayoub Karine; Thibault Napoléon; Maher Jridi; | arxiv-cs.CV | 2024-03-27 |
38 | HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel hybrid pseudo-labeling framework for unsupervised event-based semantic segmentation, HPL-ESS, to alleviate the influence of noisy pseudo labels. |
LINGLIN JING et. al. | arxiv-cs.CV | 2024-03-25 |
39 | SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore the potential of generative image diffusion to address the scarcity of annotated data in earth observation tasks. |
Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé; | arxiv-cs.CV | 2024-03-25 |
40 | SM2C: Boost The Semi-supervised Segmentation for Medical Image By Using Meta Pseudo Labels and Mixed Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce a novel method called Scaling-up Mix with Multi-Class (SM2C). |
Yifei Wang; Chuhong Zhu; | arxiv-cs.CV | 2024-03-24 |
41 | Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce SemanticGaussians, a novel open-vocabulary scene understanding approach based on 3D Gaussian Splatting. |
Jun Guo; Xiaojian Ma; Yue Fan; Huaping Liu; Qing Li; | arxiv-cs.CV | 2024-03-22 |
42 | WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. |
BLAKE GELLA et. al. | arxiv-cs.CV | 2024-03-21 |
43 | PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the limitation of the LMM being limited to textual output, PSALM incorporates a mask decoder and a well-designed input schema to handle a variety of segmentation tasks. This schema includes images, task instructions, conditional prompts, and mask tokens, which enable the model to generate and classify segmentation masks effectively. |
Zheng Zhang; Yeyao Ma; Enming Zhang; Xiang Bai; | arxiv-cs.CV | 2024-03-21 |
44 | MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Meanwhile, there is a huge gap between 2D natural images and 3D medical images, so the performance of SAM is imperfect for medical image segmentation tasks. Following the above issues, we propose MaskSAM, a novel mask classification prompt-free SAM adaptation framework for medical image segmentation. |
Bin Xie; Hao Tang; Bin Duan; Dawen Cai; Yan Yan; | arxiv-cs.CV | 2024-03-20 |
45 | MTP: Advancing Remote Sensing Foundation Model Via Multi-Task Pretraining Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks. In this study, we explore the Multi-Task Pretraining (MTP) paradigm for RS foundation models to address this issue. |
DI WANG et. al. | arxiv-cs.CV | 2024-03-20 |
46 | Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an object-based semantic SLAM method for underwater environments that can identify, localize, classify, and map a wide variety of marine objects without a priori knowledge of the object classes present in the scene. |
Kurran Singh; Jungseok Hong; Nicholas R. Rypkema; John J. Leonard; | arxiv-cs.RO | 2024-03-19 |
47 | Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: LiDAR semantic segmentation frameworks predominantly leverage geometry-based features to differentiate objects within a scan. |
Kasi Viswanath; Peng Jiang; Srikanth Saripalli; | arxiv-cs.CV | 2024-03-19 |
48 | TTT-KD: Test-Time Training for 3D Semantic Segmentation Through Knowledge Distillation from Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the first TTT method for 3D semantic segmentation, TTT-KD, which models Knowledge Distillation (KD) from foundation models (e.g. DINOv2) as a self-supervised objective for adaptation to distribution shifts at test-time. |
Lisa Weijler; Muhammad Jehanzeb Mirza; Leon Sick; Can Ekkazan; Pedro Hermosilla; | arxiv-cs.CV | 2024-03-18 |
49 | TAG: Guidance-free Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unsupervised and open-vocabulary segmentation, proposed to tackle these issues, faces challenges, including the inability to assign specific class labels to clusters and the necessity of user-provided text queries for guidance. In this context, we propose a novel approach, TAG which achieves Training, Annotation, and Guidance-free open-vocabulary semantic segmentation. |
Yasufumi Kawano; Yoshimitsu Aoki; | arxiv-cs.CV | 2024-03-17 |
50 | Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To allow our Segment Any Object Model (SAOM) to work in the everything mode, we propose the novel nearest neighbour assignment method, updating point embeddings for each ground-truth mask. |
MARIIA KHAN et. al. | arxiv-cs.CV | 2024-03-15 |
51 | TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose TransLandSeg, which is a transfer learning approach for landslide semantic segmentation based on a vision foundation model (VFM). |
CHANGHONG HOU et. al. | arxiv-cs.CV | 2024-03-15 |
52 | Annotation Free Semantic Segmentation with Vision Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we build a lightweight module on top of a self-supervised pretrained vision encoder to align patch features with a pre-trained text encoder. |
Soroush Seifi; Daniel Olmeda Reino; Fabien Despinoy; Rahaf Aljundi; | arxiv-cs.CV | 2024-03-14 |
53 | WeakSurg: Weakly Supervised Surgical Instrument Segmentation Using Temporal Equivariance and Semantic Continuity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: From a temporal equivariance perspective, we propose a prototype-based temporal equivariance regulation loss to enhance pixel-wise consistency between adjacent features. |
Qiyuan Wang; Yanzhe Liu; Shang Zhao; Rong Liu; S. Kevin Zhou; | arxiv-cs.CV | 2024-03-14 |
54 | Customizing Segmentation Foundation Model Via Prompt Learning for Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, despite its strength, SAM faces two key limitations when applied to customized instance segmentation that segments specific objects or those in unique environments not typically present in the training data: 1) the ambiguity inherent in input prompts and 2) the necessity for extensive additional training to achieve optimal segmentation. To address these challenges, we propose a novel method, customized instance segmentation via prompt learning tailored to SAM. |
Hyung-Il Kim; Kimin Yun; Jun-Seok Yun; Yuseok Bae; | arxiv-cs.CV | 2024-03-14 |
55 | When Semantic Segmentation Meets Frequency Aliasing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing research only separates an image into easy and hard regions and empirically observes the latter are associated with object boundaries. In this paper, we conduct a comprehensive analysis of hard pixel errors, categorizing them into three types: false responses, merging mistakes, and displacements. |
Linwei Chen; Lin Gu; Ying Fu; | arxiv-cs.CV | 2024-03-13 |
56 | Open-World Semantic Segmentation Including Class Similarity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach that performs accurate closed-world semantic segmentation and, at the same time, can identify new categories without requiring any additional training data. |
Matteo Sodano; Federico Magistri; Lucas Nunes; Jens Behley; Cyrill Stachniss; | arxiv-cs.CV | 2024-03-12 |
57 | Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to use marginal L1 average calibration error (mL1-ACE) as a novel auxiliary loss function to improve pixel-wise calibration without compromising segmentation quality. |
Theodore Barfoot; Luis Garcia-Peraza-Herrera; Ben Glocker; Tom Vercauteren; | arxiv-cs.CV | 2024-03-11 |
58 | Forest Inspection Dataset for Aerial Semantic Segmentation and Depth Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Deep learning algorithms must be trained on large amounts of data to output accurate interpretations, but ground truth recordings of annotated forest imagery are not available. To solve this problem, we introduce a new large aerial dataset for forest inspection which contains both real-world and virtual recordings of natural environments, with densely annotated semantic segmentation labels and depth maps, taken in different illumination conditions, at various altitudes and recording angles. |
Bianca-Cerasela-Zelia Blaga; Sergiu Nedevschi; | arxiv-cs.CV | 2024-03-11 |
59 | Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concretely, we presents the first interactive framework for point cloud semantic segmentation, named InterPCSeg, which seamlessly integrates with off-the-shelf semantic segmentation networks without offline re-training, enabling it to run in an on-the-fly manner. |
Peng Zhang; Ting Wu; Jinsheng Sun; Weiqing Li; Zhiyong Su; | arxiv-cs.CV | 2024-03-10 |
60 | PointSeg: A Training-Free Paradigm for 3D Scene Segmentation Via Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present PointSeg, a novel training-free paradigm that leverages off-the-shelf vision foundation models to address 3D scene perception tasks. |
QINGDONG HE et. al. | arxiv-cs.CV | 2024-03-10 |
61 | Style Blind Domain Generalized Semantic Segmentation Via Covariance Alignment and Semantic Consistence Contrastive Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, these approaches struggle with the entanglement of style and content, which may lead to the unintentional removal of crucial content information, causing performance degradation. This study addresses this limitation by proposing BlindNet, a novel DGSS approach that blinds the style without external modules or datasets. |
Woo-Jin Ahn; Geun-Yeong Yang; Hyun-Duck Choi; Myo-Taeg Lim; | arxiv-cs.CV | 2024-03-10 |
62 | GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a Generalizable Semantic Neural Radiance Field (GSNeRF), which uniquely takes image semantics into the synthesis process so that both novel view images and the associated semantic maps can be produced for unseen scenes. |
Zi-Ting Chou; Sheng-Yu Huang; I-Jieh Liu; Yu-Chiang Frank Wang; | arxiv-cs.CV | 2024-03-06 |
63 | Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a Multi-Grained Cross-modal Alignment (MGCA) framework, which explicitly learns pixel-level alignment along with object- and region-level alignment to bridge the granularity gap without any dense annotations. |
Yajie Liu; Pu Ge; Qingjie Liu; Di Huang; | arxiv-cs.CV | 2024-03-06 |
64 | EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This technical limitation often leads to inadequate segmentation of complex objects with diverse structures. To address this gap, we present a novel approach, EAGLE, which emphasizes object-centric representation learning for unsupervised semantic segmentation. |
Chanyoung Kim; Woojung Han; Dayun Ju; Seong Jae Hwang; | arxiv-cs.CV | 2024-03-03 |
65 | Benchmarking Segmentation Models with Mask-Preserved Attribute Editing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Different from the previous evaluation paradigms only in consideration of global attribute variations (e.g. adverse weather), we investigate both local and global attribute variations for robustness evaluation. To achieve this, we construct a mask-preserved attribute editing pipeline to edit visual attributes of real images with precise control of structural information. |
Zijin Yin; Kongming Liang; Bing Li; Zhanyu Ma; Jun Guo; | arxiv-cs.CV | 2024-03-02 |
66 | Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Prior works have commonly used an off-line heuristic thresholding process that combines the CAM maps with off-the-shelf saliency maps produced by a general pre-trained saliency model to produce more accurate pseudo-segmentation labels. We propose AuxSegNet+, a weakly supervised auxiliary learning framework to explore the rich information from these saliency maps and the significant inter-task correlation between saliency detection and semantic segmentation. |
LIAN XU et. al. | arxiv-cs.CV | 2024-03-02 |
67 | PEM: Prototype-based Efficient MaskFormer for Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To achieve such impressive performance, these architectures employ intensive operations and require substantial computational resources, which are often not available, especially on edge devices. To fill this gap, we propose Prototype-based Efficient MaskFormer (PEM), an efficient transformer-based architecture that can operate in multiple segmentation tasks. |
NICCOLÒ CAVAGNERO et. al. | arxiv-cs.CV | 2024-02-29 |
68 | YOLO-MED : Multi-Task Interaction Network for Biomedical Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an efficient end-to-end multi-task network capable of concurrently performing object detection and semantic segmentation called YOLO-Med. |
SUIZHI HUANG et. al. | arxiv-cs.CV | 2024-02-29 |
69 | FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In the realm of computer vision, the integration of advanced techniques into the processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities arising from diverse environmental conditions and varying object appearances. Therefore, this paper introduces FusionVision, an exhaustive pipeline adapted for the robust 3D segmentation of objects in RGB-D imagery. |
Safouane El Ghazouali; Youssef Mhirit; Ali Oukhrid; Umberto Michelucci; Hichem Nouira; | arxiv-cs.CV | 2024-02-29 |
70 | One Model to Use Them All: Training A Segmentation Model with Complementary Datasets Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a method to combine multiple partially annotated datasets, which provide complementary annotations, into one model, enabling better scene segmentation and the use of multiple readily available datasets. |
ALEXANDER C. JENKE et. al. | arxiv-cs.CV | 2024-02-29 |
71 | UniVS: Unified and Universal Video Segmentation with Prompts As Queries Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This is mainly because generic category-specified VS tasks need to detect all objects and track them across consecutive frames, while prompt-guided VS tasks require re-identifying the target with visual/text prompts throughout the entire video, making it hard to handle the different tasks with the same architecture. We make an attempt to address these issues and present a novel unified VS architecture, namely UniVS, by using prompts as queries. |
Minghan Li; Shuai Li; Xindong Zhang; Lei Zhang; | arxiv-cs.CV | 2024-02-28 |
72 | Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike other popular annotation tools that requires about 40 seconds to annotate an image for semantic segmentation in a typical navigation task, Spannotation achieves similar result in about 6.03 seconds. The tools utility was validated through the utilization of its generated masks to train a U-Net model which achieved a validation accuracy of 98.27% and mean Intersection Over Union (mIOU) of 96.66%. |
Samuel O. Folorunsho; William R. Norris; | arxiv-cs.CV | 2024-02-28 |
73 | Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While it exhibits remarkable zero-shot generalization in typical scenarios, its advantage diminishes when applied to specialized domains like medical imagery and remote sensing. To address this limitation, this paper introduces Conv-LoRA, a simple yet effective parameter-efficient fine-tuning approach. |
Zihan Zhong; Zhiqiang Tang; Tong He; Haoyang Fang; Chun Yuan; | iclr | 2024-02-26 |
74 | CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we embark on an in-depth analysis of the region-language alignment in CLIP models, which is essential for downstream open-vocabulary dense prediction tasks. |
Anonymous Authors; | iclr | 2024-02-26 |
75 | DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present DFormer, a novel RGB-D pretraining framework to learn transferable representations for RGB-D segmentation tasks. |
BOWEN YIN et. al. | iclr | 2024-02-26 |
76 | BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current solutions to these problems, which involve finetuning SAM, often lead to overfitting, a notable issue in scenarios with very limited data, like in medical imaging. To overcome these limitations, we introduce BLO-SAM, which finetunes SAM based on bi-level optimization (BLO). |
Li Zhang; Youwei Liang; Ruiyi Zhang; Amirhosein Javadi; Pengtao Xie; | arxiv-cs.CV | 2024-02-26 |
77 | P2Seg: Pointly-supervised Segmentation Via Mutual Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we design a Mutual Distillation Module (MDM) to leverage the complementary strengths of both instance position and semantic information and achieve accurate instance-level object perception. |
ZIPENG WANG et. al. | iclr | 2024-02-26 |
78 | Personalize Segment Anything Model with One Shot IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a training-free Personalization approach for SAM, termed PerSAM.To demonstrate our efficacy, we construct a new dataset, PerSeg, for the evaluation of personalized object segmentation, and also test our methods on various one-shot image and video segmentation benchmarks. |
RENRUI ZHANG et. al. | iclr | 2024-02-26 |
79 | Learning Hierarchical Image Segmentation For Recognition and By Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to devise a learning framework that involves segmentation in the recognition process, utilizing hierarchical segmentation for recognition, which is learned by recognition. |
Tsung-Wei Ke; Sangwoo Mo; Stella X. Yu; | iclr | 2024-02-26 |
80 | EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, generating fine-grained segmentation masks with diffusion models often requires additional training on annotated datasets, leaving it unclear to what extent pre-trained diffusion models alone understand the semantic relations of their generated images. To address this question, we leverage the semantic knowledge extracted from Stable Diffusion (SD) and aim to develop an image segmentor capable of generating fine-grained segmentation maps without any additional training. |
Anonymous Authors; | iclr | 2024-02-26 |
81 | Placing Objects in Context Via Inpainting for Out-of-distribution Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Placing Objects in Context (POC) pipeline to realistically add any object into any image via diffusion models. |
Pau de Jorge; Riccardo Volpi; Puneet K. Dokania; Philip H. S. Torr; Gregory Rogez; | arxiv-cs.CV | 2024-02-26 |
82 | OpenNerf: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Indeed, point cloud and 3D meshes typically have a lower resolution than images and the reconstructed 3D scene geometry might not project well to the underlying 2D image sequences used to compute pixel-aligned CLIP features. To address these challenges, we propose OpenNeRF which naturally operates on posed images and directly encodes the VLM features within the NeRF. |
Francis Engelmann; Fabian Manhardt; Michael Niemeyer; Keisuke Tateno; Federico Tombari; | iclr | 2024-02-26 |
83 | QIS : Interactive Segmentation Via Quasi-Conformal Mappings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the quasi-conformal interactive segmentation (QIS) model, which incorporates user input in the form of positive and negative clicks. |
Han Zhang; Daoping Zhang; Lok Ming Lui; | arxiv-cs.CV | 2024-02-22 |
84 | DeiSAM: Segment Anything with Deictic Prompting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, deep learning approaches cannot reliably interpret such deictic representations due to their lack of reasoning capabilities in complex scenarios. To remedy this issue, we propose DeiSAM — a combination of large pre-trained neural networks with differentiable logic reasoners — for deictic promptable segmentation. |
HIKARU SHINDO et. al. | arxiv-cs.LG | 2024-02-21 |
85 | ISCUTE: Instance Segmentation of Cables Using Text Embedding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a foundation model-based DLO instance segmentation technique that is text-promptable and user-friendly. |
Shir Kozlovsky; Omkar Joglekar; Dotan Di Castro; | arxiv-cs.CV | 2024-02-19 |
86 | Real-time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present an end-to-end pipeline with instance segmentation, feature matching, and point-set registration for egocentric robots with binocular vision, and demonstrate the robot’s grasping capability through the proposed pipeline. |
K. Nguyen; T. Dang; M. Huber; | arxiv-cs.RO | 2024-02-19 |
87 | Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This review thoroughly examines the role of semantically-aware Neural Radiance Fields (NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. |
Thang-Anh-Quan Nguyen; Amine Bourki; Mátyás Macudzinski; Anthony Brunel; Mohammed Bennamoun; | arxiv-cs.CV | 2024-02-16 |
88 | BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While transformers have achieved state-of-the-art results in natural language processing and image recognition, they face challenges in medical image segmentation due to image locality and translational invariance issues. To address these challenges, this paper proposes an innovative U-shaped network called BEFUnet, which enhances the fusion of body and edge information for precise medical image segmentation. |
Omid Nejati Manzari; Javad Mirzapour Kaleybar; Hooman Saadat; Shahin Maleki; | arxiv-cs.CV | 2024-02-13 |
89 | Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a state of art architecture of neural networks to accurately and efficiently get the moving object proposals (MOP). |
Ge Shi; Zhili Yang; | arxiv-cs.CV | 2024-02-13 |
90 | Unsupervised Discovery of Object-Centric Neural Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This limitation stems from their object representations, which entangle objects’ intrinsic attributes like shape and appearance with extrinsic, viewer-centric properties such as their 3D location. To address this bottleneck, we propose Unsupervised discovery of Object-Centric neural Fields (uOCF). |
Rundong Luo; Hong-Xing Yu; Jiajun Wu; | arxiv-cs.CV | 2024-02-11 |
91 | ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, from the UDA perspective, there exists several challenges for DM training: (i) ground-truth labels from target domain are missing; (ii) the prompt generator may produce vague or noisy descriptions of images from adverse weathers; (iii) existing arts often struggle to well handle the complex scene structure and geometry of urban scenes when conditioned only on semantic labels. To tackle the above issues, we propose ControlUDA, a diffusion-assisted framework tailored for UDA segmentation under adverse weather conditions. |
FENGYI SHEN et. al. | arxiv-cs.CV | 2024-02-09 |
92 | Hybridnet for Depth Estimation and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, depth estimation and semantic segmentation are addressed together from a single input image through a hybrid convolutional network. |
Dalila Sánchez-Escobedo; Xiao Lin; Josep R. Casas; Montse Pardàs; | arxiv-cs.CV | 2024-02-09 |
93 | Early Fusion of Features for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel segmentation framework that integrates a classifier network with a reverse HRNet architecture for efficient image segmentation. |
Anupam Gupta; Ashok Krishnamurthy; Lisa Singh; | arxiv-cs.CV | 2024-02-08 |
94 | Multi-Scale Semantic Segmentation with Modified MBConv Blocks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel adaptation of MBConv blocks specifically tailored for semantic segmentation. |
Xi Chen; Yang Cai; Yuan Wu; Bo Xiong; Taesung Park; | arxiv-cs.CV | 2024-02-07 |
95 | On The Effect of Image Resolution on Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we demonstrate that a streamlined model capable of directly producing high-resolution segmentations can match the performance of more complex systems that generate lower-resolution results. |
Ritambhara Singh; Abhishek Jain; Pietro Perona; Shivani Agarwal; Junfeng Yang; | arxiv-cs.CV | 2024-02-07 |
96 | Instance Segmentation XXL-CT Challenge of A Historic Airplane Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The challenge aimed to explore automatic or interactive instance segmentation methods for an efficient delineation of the different aircraft components, such as screws, rivets, metal sheets or pressure tubes. We report the organization and outcome of this challenge and describe the capabilities and limitations of the submitted segmentation methods. |
ROLAND GRUBER et. al. | arxiv-cs.CV | 2024-02-05 |
97 | SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present SGS-SLAM, the first semantic visual SLAM system based on Gaussian Splatting. |
MINGRUI LI et. al. | arxiv-cs.CV | 2024-02-05 |
98 | Unsupervised Semantic Segmentation of High-resolution UAV Imagery for Road Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, an unsupervised road parsing framework that leverages recent advances in vision language models and fundamental computer vision model is introduced.Initially, a vision language model is employed to efficiently process ultra-large resolution UAV images to quickly detect road regions of interest in the images. |
Zihan Ma; Yongshang Li; Ronggui Ma; Chen Liang; | arxiv-cs.CV | 2024-02-05 |
99 | Delving Into Decision-based Black-box Attacks on Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first exploration of black-box decision-based attacks on semantic segmentation. |
ZHAOYU CHEN et. al. | arxiv-cs.CV | 2024-02-02 |
100 | SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents SubPipe, an underwater dataset for SLAM, object detection, and image segmentation. |
OLAYA ÁLVAREZ-TUÑÓN et. al. | arxiv-cs.RO | 2024-01-31 |
101 | Segment Anything in 3D Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach to achieve object segmentation in 3D Gaussian via an interactive procedure without any training process and learned parameters. |
XU HU et. al. | arxiv-cs.CV | 2024-01-31 |
102 | Towards Image Semantics and Syntax Sequence Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To learn the image grammar relative to a class of visual objects/scenes, we propose a weakly supervised two-stage approach. |
Chun Tao; Timur Ibrayev; Kaushik Roy; | arxiv-cs.CV | 2024-01-30 |
103 | Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we establish a task called Modality-Incomplete Scene Segmentation (MISS), which encompasses both system-level modality absence and sensor-level modality errors. |
RUIPING LIU et. al. | arxiv-cs.CV | 2024-01-30 |
104 | CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Contextual and Attentional feature Fusions enhanced Convolutional Neural Network (CNN) and Transformer hybrid network (CAFCT) model for liver tumor segmentation. |
Ming Kang; Chee-Ming Ting; Fung Fung Ting; Raphaël Phan; | arxiv-cs.CV | 2024-01-30 |
105 | Synthetic Data Enables Faster Annotation and Robust Segmentation for Multi-object Grasping in Clutter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a synthetic data generation method that minimizes human intervention and makes downstream image segmentation algorithms more robust by combining a generated synthetic dataset with a smaller real-world dataset (hybrid dataset). |
Dongmyoung Lee; Wei Chen; Nicolas Rojas; | arxiv-cs.CV | 2024-01-24 |
106 | Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study demonstrates a cost-effective approach to semantic segmentation using self-supervised vision transformers (SSVT). |
Seungho Lee; Seoungyoon Kang; Hyunjung Shim; | arxiv-cs.CV | 2024-01-23 |
107 | DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, unsupervised dense semantic segmentation has not been explored as a downstream task, which can utilize and evaluate the quality of semantic information introduced in patch-level feature representations during self-supervised training of a vision transformer. Therefore, this paper proposes a novel data-driven approach for unsupervised semantic segmentation (DatUS^2) as a downstream task. |
Sonal Kumar; Arijit Sur; Rashmi Dutta Baruah; | arxiv-cs.CV | 2024-01-23 |
108 | SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the issues, we propose a Semantic Prompt Learning for WSSS (SemPLeS) framework, which learns to effectively prompt the CLIP latent space to enhance the semantic alignment between the segmented regions and the target object categories. |
Ci-Siang Lin; Chien-Yi Wang; Yu-Chiang Frank Wang; Min-Hung Chen; | arxiv-cs.CV | 2024-01-22 |
109 | Concealed Object Segmentation with Hierarchical Coherence Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite achieving remarkable success, existing COS segmenters still struggle to achieve complete segmentation results in extremely concealed scenarios. In this paper, we propose a Hierarchical Coherence Modeling (HCM) segmenter for COS, aiming to address this incomplete segmentation limitation. |
Fengyang Xiao; Pan Zhang; Chunming He; Runze Hu; Yutao Liu; | arxiv-cs.CV | 2024-01-22 |
110 | EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, generating fine-grained segmentation masks with diffusion models often requires additional training on annotated datasets, leaving it unclear to what extent pre-trained diffusion models alone understand the semantic relations of their generated images. To address this question, we leverage the semantic knowledge extracted from Stable Diffusion (SD) and aim to develop an image segmentor capable of generating fine-grained segmentation maps without any additional training. |
Koichi Namekata; Amirmojtaba Sabour; Sanja Fidler; Seung Wook Kim; | arxiv-cs.CV | 2024-01-22 |
111 | MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by recent advances in meta learning, we argue that rather than struggling to tolerate noise hidden behind clean labels passively, a more feasible solution would be to find out the noisy regions actively, so as to simply ignore them during model optimization. With this in mind, this work presents a novel meta learning based semantic segmentation method, MetaSeg, that comprises a primary content-aware meta-net (CAM-Net) to sever as a noise indicator for an arbitrary segmentation model counterpart. |
SHENWANG JIANG et. al. | arxiv-cs.CV | 2024-01-22 |
112 | S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, in this article, we introduce S$^3$M-Net, a novel joint learning framework developed to perform semantic segmentation and stereo matching simultaneously. |
ZHIYUAN WU et. al. | arxiv-cs.CV | 2024-01-21 |
113 | Spatial Structure Constraints for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose spatial structure constraints (SSC) for weakly supervised semantic segmentation to alleviate the unwanted object over-activation of attention expansion. |
TAO CHEN et. al. | arxiv-cs.CV | 2024-01-20 |
114 | XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a framework to bolster visual quality inspection by using CAM-based explanations to refine semantic segmentation models. |
Tobias Clement; Truong Thanh Hung Nguyen; Mohamed Abdelaal; Hung Cao; | arxiv-cs.CV | 2024-01-18 |
115 | RAP-SAM: Towards Real-Time All-Purpose Segment Anything Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: It contains three different tasks, including interactive segmentation, panoptic segmentation, and video segmentation. We aim to use one model to achieve the above tasks in real-time. |
SHILIN XU et. al. | arxiv-cs.CV | 2024-01-18 |
116 | OMG-Seg: Is One Model Good Enough For All Segmentation? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address various segmentation tasks, each traditionally tackled by distinct or partially unified models. |
XIANGTAI LI et. al. | arxiv-cs.CV | 2024-01-18 |
117 | Uncertainty Estimates for Semantic Segmentation: Providing Enhanced Reliability for Automated Motor Claims Handling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore the use of a meta-classification model to assess the precision of segments predicted by a model trained for the semantic segmentation of car body parts. |
Jan Küchler; Daniel Kröll; Sebastian Schoenen; Andreas Witte; | arxiv-cs.CV | 2024-01-17 |
118 | Semantic Scene Segmentation for Robotics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the recent advances in deep learning combined with the boost in the computational capacity and the availability of large-scale labeled datasets have led to significant advances in semantic segmentation. In this chapter, we introduce the task of semantic segmentation and present the deep learning techniques that have been proposed to address this task over the years. |
Juana Valeria Hurtado; Abhinav Valada; | arxiv-cs.RO | 2024-01-15 |
119 | Seeing The Roads Through The Trees: A Benchmark for Modeling Spatial Dependencies with Aerial Imagery Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, there is limited research being conducted to understand long-range context understanding of modern machine learning models. In this work we propose a road segmentation benchmark dataset, Chesapeake Roads Spatial Context (RSC), for evaluating the spatial long-range context understanding of geospatial machine learning models and show how commonly used semantic segmentation models can fail at this task. |
CALEB ROBINSON et. al. | arxiv-cs.CV | 2024-01-12 |
120 | CoSSegGaussians: Compact and Swift Scene Segmenting 3D Gaussians with Dual Feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Compact and Swift Segmenting 3D Gaussians(CoSSegGaussians), a method for compact 3D-consistent scene segmentation at fast rendering speed with only RGB images input. |
Bin Dou; Tianyu Zhang; Yongjia Ma; Zhaohui Wang; Zejian Yuan; | arxiv-cs.CV | 2024-01-11 |
121 | Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We thus present the Primitive Geometry Segment Pre-training (PrimGeoSeg) method to enable the learning of 3D semantic features by pre-training segmentation tasks using only primitive geometric objects for 3D medical image segmentation. |
Ryu Tadokoro; Ryosuke Yamada; Kodai Nakashima; Ryo Nakamura; Hirokatsu Kataoka; | arxiv-cs.CV | 2024-01-07 |
122 | Systematic Review of Image Segmentation Using Complex Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This review presents various image segmentation methods using complex networks. |
Amin Rezaei; Fatemeh Asadi; | arxiv-cs.CV | 2024-01-05 |
123 | GBSS:a Global Building Semantic Segmentation Dataset for Large-scale Remote Sensing Building Extraction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we construct a Global Building Semantic Segmentation (GBSS) dataset (The dataset will be released), which comprises 116.9k pairs of samples (about 742k buildings) from six continents. |
Yuping Hu; Xin Huang; Jiayi Li; Zhen Zhang; | arxiv-cs.CV | 2024-01-02 |
124 | Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We develop an online UDA algorithm for semantic segmentation of images that improves model generalization on unannotated domains in scenarios where source data access is restricted during adaptation. |
Serban Stan; Mohammad Rostami; | arxiv-cs.CV | 2024-01-01 |
125 | 1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we integrate strengths of that leading RVOS models to build up an effective paradigm. |
ZHUOYAN LUO et. al. | arxiv-cs.CV | 2023-12-31 |
126 | Promoting Segment Anything Model Towards Highly Accurate Dichotomous Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We have high expectations regarding whether SAM, as a foundation model, can be improved towards highly accurate object segmentation, which is known as dichotomous image segmentation (DIS). To address this issue, we propose DIS-SAM, which advances SAM towards DIS with extremely accurate details. |
Xianjie Liu; Keren Fu; Qijun Zhao; | arxiv-cs.CV | 2023-12-30 |
127 | Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Segment3D, a method for class-agnostic 3D scene segmentation that produces high-quality 3D segmentation masks. |
RUI HUANG et. al. | arxiv-cs.CV | 2023-12-28 |
128 | LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce LISA++, an update to the existing LISA model, focusing on improving core functionalities while keeping the base architecture intact. |
SENQIAO YANG et. al. | arxiv-cs.CV | 2023-12-28 |
129 | Unsupervised Universal Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an Unsupervised Universal Segmentation model (U2Seg) adept at performing various image segmentation tasks — instance, semantic and panoptic — using a novel unified framework. |
DANTONG NIU et. al. | arxiv-cs.CV | 2023-12-28 |
130 | Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, this paper proposes a simple yet effective scene-level weakly supervised point cloud segmentation method with a newly introduced multi-modality point affinity inference module. |
XIAWEI LI et. al. | arxiv-cs.CV | 2023-12-27 |
131 | 2D-Guided 3D Gaussian Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, this paper introduces a 3D Gaussian segmentation method implemented with 2D segmentation as supervision. |
KUN LAN et. al. | arxiv-cs.CV | 2023-12-26 |
132 | UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we end the current fragmented situation and propose UniRef++ to unify the four reference-based object segmentation tasks with a single architecture. |
JIANNAN WU et. al. | arxiv-cs.CV | 2023-12-25 |
133 | WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose train-val-test splits for standard benchmarks as well as domain adaptation benchmarks and utilize an automated split generation technique to ensure the balance of class label distributions. |
KAVISHA VIDANAPATHIRANA et. al. | arxiv-cs.RO | 2023-12-23 |
134 | Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel method, Variance-Insensitive and Target-Preserving Mask Refinement to enhance segmentation quality with fewer user inputs. |
CHAOWEI FANG et. al. | arxiv-cs.CV | 2023-12-21 |
135 | Weakly Supervised Semantic Segmentation for Driving Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose solutions for each issue as follows. |
Dongseob Kim; Seungho Lee; Junsuk Choe; Hyunjung Shim; | arxiv-cs.CV | 2023-12-21 |
136 | Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we introduce a novel component segmentation model for LA detection that leverages a few labeled samples and unlabeled images sharing logical constraints. |
SOOPIL KIM et. al. | arxiv-cs.CV | 2023-12-21 |
137 | BEVSeg2TP: Surround View Camera Bird’s-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The proposed method in this paper predicts trajectories by considering perception and trajectory prediction as a unified system. |
Sushil Sharma; Arindam Das; Ganesh Sistu; Mark Halton; Ciarán Eising; | arxiv-cs.CV | 2023-12-20 |
138 | MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the success of Vision Transformers and large language models, we propose a novel metadata-collaborative multimodal segmentation network (MetaSegNet) that applies vision-language representation learning for semantic segmentation of remote sensing images. |
LIBO WANG et. al. | arxiv-cs.CV | 2023-12-19 |
139 | All for One, and One for All: UrbanSyn Dataset, The Third Musketeer of Synthetic Driving Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce UrbanSyn, a photorealistic dataset acquired through semi-procedurally generated synthetic urban driving scenarios. |
JOSE L. GÓMEZ et. al. | arxiv-cs.CV | 2023-12-19 |
140 | SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore a principal way to enhance the quality of object masks produced by different segmentation models. |
MENGYU WANG et. al. | arxiv-cs.CV | 2023-12-19 |
141 | The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this report, we provide detailed dataset statistics (size, class distribution, dataset splits, etc.) and a comprehensive performance benchmark for instance segmentation, object detection, and CVS prediction. |
ADITYA MURALI et. al. | arxiv-cs.CV | 2023-12-19 |
142 | SAI3D: Segment Any Instance in 3D Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce SAI3D, a novel zero-shot 3D instance segmentation approach that synergistically leverages geometric priors and semantic cues derived from Segment Anything Model (SAM). |
YINGDA YIN et. al. | arxiv-cs.CV | 2023-12-17 |
143 | Transformers in Unsupervised Structure-from-Motion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a robust transformer-based monocular SfM method that learns to predict monocular pixel-wise depth, ego vehicle’s translation and rotation, as well as camera’s focal length and principal point, simultaneously. |
Hemang Chawla; Arnav Varma; Elahe Arani; Bahram Zonooz; | arxiv-cs.CV | 2023-12-16 |
144 | Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This is mainly caused by the challenge that images are not sequential signals and lack a natural order when applying autoregressive modeling. In this study, inspired by human beings’ way of grasping an image, i.e., focusing on the main object first, we present a semantic-aware autoregressive image modeling (SemAIM) method to tackle this challenge. |
Kaiyou Song; Shan Zhang; Tong Wang; | arxiv-cs.CV | 2023-12-16 |
145 | Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study’s primary objective is to detect offshore wind plants at an instance level using semantic segmentation models and Sentinel-1 time series. |
Osmar Luiz Ferreira de Carvalho; Osmar Abilio de Carvalho Junior; Anesmar Olino de Albuquerque; Daniel Guerreiro e Silva; | arxiv-cs.CV | 2023-12-14 |
146 | Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While some solutions leverage onboard camera arrays, these cameras often have limited field-of-view (FoV) with front or downward perspectives. Addressing this, we propose a new out-of-view semantic segmentation task and Segment Beyond View (SBV), a novel audio-visual semantic segmentation method. |
Renjie Wu; Hu Wang; Feras Dayoub; Hsiang-Ting Chen; | arxiv-cs.CV | 2023-12-14 |
147 | WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We find that training on these paired clear and adverse weather frames which share an underlying scene results in improved performance on adverse weather data. With this knowledge, we propose a training pipeline which accentuates the advantages of paired-data training using consistency losses and language guidance, which leads to performance improvements by up to 18.4% as compared to standard training procedures. |
BLAKE GELLA et. al. | arxiv-cs.CV | 2023-12-14 |
148 | Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We further assume that the unmasked confident regions should be robust enough to preserve the global semantics. Building upon this, we introduce a complementary self-enhancement method that constrains the semantic consistency between these confident regions and an augmented image with the same class labels. |
JINGXUAN HE et. al. | arxiv-cs.CV | 2023-12-14 |
149 | Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This can be because it originally stems from the image classification task and lacks specialized mechanisms to capture fine-grained local semantics that prioritizes in dense prediction. To address this issue, we propose a novel framework called \texttt{MaskMatch}, which enables fine-grained locality learning to achieve better dense segmentation. |
WENTAO PAN et. al. | arxiv-cs.CV | 2023-12-13 |
150 | CLIP As RNN: Segment Countless Visual Concepts Without Training Endeavor Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, without fine-tuning, VLMs trained under weak image-text supervision tend to make suboptimal mask predictions when there are text queries referring to non-existing concepts in the image. To alleviate these issues, we introduce a novel recurrent framework that progressively filters out irrelevant texts and enhances mask quality without training efforts. |
Shuyang Sun; Runjia Li; Philip Torr; Xiuye Gu; Siyang Li; | arxiv-cs.CV | 2023-12-12 |
151 | X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos Through Cross-modal Knowledge Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, the irregularity of point cloud poses a difficulty in aligning temporal information within video sequences. To address these issues, we propose a novel cross-modal knowledge transfer framework, called X4D-SceneFormer. |
LINGLIN JING et. al. | arxiv-cs.CV | 2023-12-12 |
152 | Transferring CLIP’s Knowledge Into Zero-Shot Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on zero-shot point cloud semantic segmentation and propose a simple yet effective baseline to transfer the visual-linguistic knowledge implied in CLIP to point cloud encoder at both feature and output levels. |
YUANBIN WANG et. al. | arxiv-cs.CV | 2023-12-12 |
153 | Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Particularly, surgical scene understanding and phase recognition stand as pivotal pillars within the realm of computer-assisted surgery and post-operative assessment of cataract surgery videos. In this context, we present the largest cataract surgery video dataset that addresses diverse requisites for constructing computerized surgical workflow analysis and detecting post-operative irregularities in cataract surgery. |
NEGIN GHAMSARIAN et. al. | arxiv-cs.CV | 2023-12-11 |
154 | Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a weakly supervised semantic segmentation method for point clouds that predicts per-point labels from just whole-scene annotations while achieving the performance of recent fully supervised approaches. |
SHAOBO XIA et. al. | arxiv-cs.CV | 2023-12-11 |
155 | Loss Functions in The Era of Semantic Segmentation: A Survey and Outlook Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To aid researchers in identifying the optimal loss function for their particular application, this survey provides a comprehensive and unified review of $25$ loss functions utilized in image segmentation. |
REZA AZAD et. al. | arxiv-cs.CV | 2023-12-08 |
156 | GcDLSeg: Integrating Graph-cut Into Deep Learning for Binary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To combine the strengths of both approaches, we propose in this study to integrate the graph-cut approach into a deep learning network for end-to-end learning. |
Hui Xie; Weiyu Xu; Ya Xing Wang; John Buatti; Xiaodong Wu; | arxiv-cs.CV | 2023-12-07 |
157 | Auto-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce \textit{Auto-Vocabulary Semantic Segmentation (AVS)}, advancing open-ended image understanding by eliminating the necessity to predefine object categories for segmentation. |
Osman Ülger; Maksymilian Kulicki; Yuki Asano; Martin R. Oswald; | arxiv-cs.CV | 2023-12-07 |
158 | Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods heavily rely on data augmentation and memory buffer, which entail high computational resource demands when applying them to handle semantic segmentation that requires to preserve high-resolution feature maps for making dense pixel-wise predictions. In order to address this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications. |
Jiawei Fan; Chao Li; Xiaolong Liu; Meina Song; Anbang Yao; | arxiv-cs.CV | 2023-12-07 |
159 | DeepPyramid+: Medical Image Segmentation Using Pyramid View Fusion and Deformable Pyramid Reception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a network architecture, DeepPyramid+, which addresses diverse challenges encountered in medical image and surgical video segmentation. |
Negin Ghamsarian; Sebastian Wolf; Martin Zinkernagel; Klaus Schoeffmann; Raphael Sznitman; | arxiv-cs.CV | 2023-12-06 |
160 | Foundation Model Assisted Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a coarse-to-fine framework based on CLIP and SAM for generating high-quality segmentation seeds. |
Xiaobo Yang; Xiaojin Gong; | arxiv-cs.CV | 2023-12-06 |
161 | SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a streamlined framework aimed at leveraging the raw output of SAM by exploiting two novel concepts called SAM-Generated Object (SGO) and SAM-Generated Boundary (SGB). |
XIANPING MA et. al. | arxiv-cs.CV | 2023-12-04 |
162 | SRSNetwork: Siamese Reconstruction-Segmentation Networks Based on Dynamic-Parameter Convolution Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a high-performance deep neural network for weak target image segmentation, including medical image segmentation and infrared image segmentation. |
BINGKUN NIAN et. al. | arxiv-cs.CV | 2023-12-04 |
163 | G2D: From Global to Dense Radiography Representation Learning Via Vision-Language Pre-training Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a new VLP framework, named \textbf{G}lobal to \textbf{D}ense level representation learning (G2D) that achieves significantly improved granularity and more accurate grounding for the learned features, compared to existing medical VLP approaches. |
CHE LIU et. al. | arxiv-cs.CV | 2023-12-03 |
164 | SANeRF-HQ: Segment Anything for NeRF in High Quality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Segment Anything for NeRF in High Quality (SANeRF-HQ) to achieve high-quality 3D segmentation of any target object in a given scene. |
Yichen Liu; Benran Hu; Chi-Keung Tang; Yu-Wing Tai; | arxiv-cs.CV | 2023-12-03 |
165 | A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a general and simple framework to tackle point cloud understanding when labels are limited. |
Kangcheng Liu; | arxiv-cs.CV | 2023-12-02 |
166 | Efficient Multimodal Semantic Segmentation Via Dual-Prompt Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing approaches often fully fine-tune a dual-branch encoder-decoder framework with a complicated feature fusion strategy for achieving multimodal semantic segmentation, which is training-costly due to the massive parameter updates in feature extraction and fusion. To address this issue, we propose a surprisingly simple yet effective dual-prompt learning network (dubbed DPLNet) for training-efficient multimodal (e.g., RGB-D/T) semantic segmentation. |
SHAOHUA DONG et. al. | arxiv-cs.CV | 2023-12-01 |
167 | CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present CellMixer, an innovative annotation-free approach for the semantic segmentation of heterogeneous cell populations. |
MEHDI NAOUAR et. al. | arxiv-cs.CV | 2023-12-01 |
168 | A Lightweight Clustering Framework for Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We thus propose a lightweight clustering framework for unsupervised semantic segmentation. |
Yau Shing Jonathan Cheung; Xi Chen; Lihe Yang; Hengshuang Zhao; | arxiv-cs.CV | 2023-11-30 |
169 | Learning Part Segmentation from Synthetic Animals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concretely, we examine three Syn-to-Real adaptation methods but observe relative performance drop due to the innate difference between the two tasks. To address this, we propose a simple yet effective method called Class-Balanced Fourier Data Mixing (CB-FDM). |
JIAWEI PENG et. al. | arxiv-cs.CV | 2023-11-30 |
170 | MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the large domain-specfic inconsistencies between simulated and real-world data pose a significant generalization challenge in semantic segmentation. In this work, to alleviate this problem, we propose a novel MultiResolution Feature Perturbation (MRFP) technique to randomize domain-specific fine-grained features and perturb style of coarse features. |
Sumanth Udupa; Prajwal Gurunath; Aniruddh Sikdar; Suresh Sundaram; | arxiv-cs.CV | 2023-11-30 |
171 | ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an online 3D semantic segmentation method that incrementally reconstructs a 3D semantic map from a stream of RGB-D frames. |
SILVAN WEDER et. al. | arxiv-cs.CV | 2023-11-29 |
172 | SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce SAMPro3D for zero-shot 3D indoor scene segmentation. |
MUTIAN XU et. al. | arxiv-cs.CV | 2023-11-29 |
173 | Continual Learning for Image Segmentation with Dynamic Query Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple, yet effective Continual Image Segmentation method with incremental Dynamic Query (CISDQ), which decouples the representation learning of both old and new knowledge with lightweight query embedding. |
WEIJIA WU et. al. | arxiv-cs.CV | 2023-11-29 |
174 | Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To avoid quantized information loss, in this paper, we propose a novel spherical frustum structure. |
Yu Zheng; Guangming Wang; Jiuming Liu; Marc Pollefeys; Hesheng Wang; | arxiv-cs.CV | 2023-11-29 |
175 | Betrayed By Attention: A Simple Yet Effective Approach for Self-supervised Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet effective approach for self-supervised video object segmentation (VOS). |
Shuangrui Ding; Rui Qian; Haohang Xu; Dahua Lin; Hongkai Xiong; | arxiv-cs.CV | 2023-11-29 |
176 | Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, leveraging the learned association for open-vocabulary semantic segmentation remains a challenge. In this paper, we propose a simple, yet extremely effective, training-free technique, Plug-and-Play Open-Vocabulary Semantic Segmentation (PnP-OVSS) for this task. |
Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li; | arxiv-cs.CV | 2023-11-28 |
177 | ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose ScribbleGen, a generative data augmentation method that leverages a ControlNet diffusion model conditioned on semantic scribbles to produce high-quality training data. |
Jacob Schnell; Jieke Wang; Lu Qi; Vincent Tao Hu; Meng Tang; | arxiv-cs.CV | 2023-11-28 |
178 | Image Segmentation with Traveling Waves in An Exactly Solvable Recurrent Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show that this network generates sophisticated spatiotemporal dynamics that can effectively divide an image into groups according to a scene’s structural characteristics. Using an exact solution of the recurrent network’s dynamics, we present a precise description of the mechanism underlying object segmentation in this network, providing a clear mathematical interpretation of how the network performs this task. |
LUISA H. B. LIBONI et. al. | arxiv-cs.CV | 2023-11-28 |
179 | SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple encoder-decoder, named SED, for open-vocabulary semantic segmentation, which comprises a hierarchical encoder-based cost map generation and a gradual fusion decoder with category early rejection. |
Bin Xie; Jiale Cao; Jin Xie; Fahad Shahbaz Khan; Yanwei Pang; | arxiv-cs.CV | 2023-11-27 |
180 | SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To adapt the VLM from global to local reasoning, we introduce a spatial fine-tuning strategy for label-efficient learning. |
Lukas Hoyer; David Joseph Tan; Muhammad Ferjad Naeem; Luc Van Gool; Federico Tombari; | arxiv-cs.CV | 2023-11-27 |
181 | 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an image-guidance network (IGNet) which builds upon the idea of distilling high level feature information from a domain adapted synthetically trained 2D semantic segmentation network. |
Ozan Unal; Dengxin Dai; Lukas Hoyer; Yigit Baran Can; Luc Van Gool; | arxiv-cs.CV | 2023-11-27 |
182 | FALCON: Fairness Learning Via Contrastive Attention Approach to Continual Semantic Scene Understanding in Open World Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel Fairness Learning via Contrastive Attention Approach to continual learning in semantic scene understanding. |
Thanh-Dat Truong; Utsav Prabhu; Bhiksha Raj; Jackson Cothren; Khoa Luu; | arxiv-cs.CV | 2023-11-27 |
183 | Segment Every Out-of-Distribution Object Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a method to convert anomaly \textbf{S}core \textbf{T}o segmentation \textbf{M}ask, called S2M, a simple and effective framework for OoD detection in semantic segmentation. |
Wenjie Zhao; Jia Li; Xin Dong; Yu Xiang; Yunhui Guo; | arxiv-cs.CV | 2023-11-27 |
184 | Adapter Is All You Need for Tuning Visual Tasks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To find a competitive alternative to full fine-tuning, we propose the Multi-cognitive Visual Adapter (Mona) tuning, a novel adapter-based tuning method. |
Dongshuo Yin; Leiyi Hu; Bin Li; Youqun Zhang; | arxiv-cs.CV | 2023-11-25 |
185 | Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate self-supervised representations for instance segmentation without any manual annotations. |
Paul Engstler; Luke Melas-Kyriazi; Christian Rupprecht; Iro Laina; | arxiv-cs.CV | 2023-11-24 |
186 | OneFormer3D: One Transformer for Unified Point Cloud Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thereby, the similarity of all segmentation tasks and the implicit relationship between them have not been utilized effectively. This paper presents a unified, simple, and effective model addressing all these tasks jointly. |
Maxim Kolodiazhnyi; Anna Vorontsova; Anton Konushin; Danila Rukhovich; | arxiv-cs.CV | 2023-11-24 |
187 | Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose instead to generate prompt-agnostic adversarial attacks by maximizing the $\ell_2$-distance, in the latent space, between the embedding of the original and perturbed images. |
Francesco Croce; Matthias Hein; | arxiv-cs.CV | 2023-11-24 |
188 | Language-guided Few-shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an innovative solution to tackle the challenge of few-shot semantic segmentation using only language information, i.e.image-level text labels. |
Jing Wang; Yuang Liu; Qiang Zhou; Fan Wang; | arxiv-cs.CV | 2023-11-23 |
189 | SegVol: Universal and Interactive Volumetric Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a 3D foundation segmentation model, named SegVol, supporting universal and interactive volumetric medical image segmentation. |
Yuxin Du; Fan Bai; Tiejun Huang; Bo Zhao; | arxiv-cs.CV | 2023-11-22 |
190 | DA-STC: Domain Adaptive Video Semantic Segmentation Via Spatio-Temporal Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To solve the challenge, we propose a novel DA-STC method for domain adaptive video semantic segmentation, which incorporates a bidirectional multi-level spatio-temporal fusion module and a category-aware spatio-temporal feature alignment module to facilitate consistent learning for domain-invariant features. |
ZHE ZHANG et. al. | arxiv-cs.CV | 2023-11-22 |
191 | FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Semantic segmentation, a crucial task in computer vision, often relies on labor-intensive and costly annotated datasets for training. In response to this challenge, we introduce FuseNet, a dual-stream framework for self-supervised semantic segmentation that eliminates the need for manual annotation. |
AMIRHOSSEIN KAZEROUNI et. al. | arxiv-cs.CV | 2023-11-21 |
192 | Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce Mobile-Seed, a lightweight, dual-task framework tailored for simultaneous semantic segmentation and boundary detection. |
YOUQI LIAO et. al. | arxiv-cs.CV | 2023-11-21 |
193 | GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, by rendering semantic/instance labels per pixel without considering the contextual information of the rendered image, these methods usually suffer from unclear boundary segmentation and abnormal segmentation of pixels within an object. To solve this problem, we propose Generalized Perception NeRF (GP-NeRF), a novel pipeline that makes the widely used segmentation model and NeRF work compatibly under a unified framework, for facilitating context-aware 3D scene perception. |
HAO LI et. al. | arxiv-cs.CV | 2023-11-20 |
194 | Instance-aware 3D Semantic Segmentation Powered By Shape Generators and Classifiers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a novel instance-aware approach for 3D semantic segmentation. |
Bo Sun; Qixing Huang; Xiangru Huang; | arxiv-cs.CV | 2023-11-20 |
195 | Open-Vocabulary Camouflaged Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To fill in the gaps, we introduce a new task, open-vocabulary camouflaged object segmentation (OVCOS), and construct a large-scale complex scene dataset (\textbf{OVCamo}) containing 11,483 hand-selected images with fine annotations and corresponding object classes. |
Youwei Pang; Xiaoqi Zhao; Jiaming Zuo; Lihe Zhang; Huchuan Lu; | arxiv-cs.CV | 2023-11-19 |
196 | Generalized Category Discovery in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a straightforward yet effective framework that reinterprets the GCDSS challenge as a task of mask classification. |
ZHENGYUAN PENG et. al. | arxiv-cs.CV | 2023-11-19 |
197 | Optimizing Rgb-d Semantic Segmentation Through Multi-modal Interaction and Pooling Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, in indoor environments, the simple input of RGB and depth images often results in a relatively limited acquisition of semantic and spatial information, leading to suboptimal segmentation outcomes. To address this, we propose the Multi-modal Interaction and Pooling Attention Network (MIPANet), a novel approach designed to harness the interactive synergy between RGB and depth modalities, optimizing the utilization of complementary information. |
Shuai Zhang; Minghong Xie; | arxiv-cs.CV | 2023-11-19 |
198 | Self-trained Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The aim of this work is to develop a framework to perform embedding-based self-supervised panoptic segmentation using self-training in a synthetic-to-real domain adaptation problem setting. |
Shourya Verma; | arxiv-cs.CV | 2023-11-17 |
199 | Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We aim to develop a cost-effective labeling approach to obtain pseudo-labels for semantic segmentation and object instance detection in indoor environments, with the ultimate goal of facilitating the training of lightweight models for various downstream tasks. |
Yimeng Li; Navid Rajabi; Sulabh Shrestha; Md Alimoor Reza; Jana Kosecka; | arxiv-cs.CV | 2023-11-17 |
200 | PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To facilitate image annotation, we introduce Physics Informed Contour Selection (PICS) – an interpretable, physics-informed algorithm for rapid image segmentation without relying on labeled data. |
Vikas Dwivedi; Balaji Srinivasan; Ganapathy Krishnamurthi; | arxiv-cs.CV | 2023-11-12 |
201 | 3DFusion, A Real-time 3D Object Reconstruction Pipeline Based on Streamed Instance Segmented Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve real-time performance, the paper proposes a method that effectively samples consecutive frames to reduce network load while ensuring reconstruction quality. |
Xi Sun; Derek Jacoby; Yvonne Coady; | arxiv-cs.CV | 2023-11-11 |
202 | FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose FDNet, a Feature Decoupled Segmentation Network, to excel in the face of the variable dental conditions encountered in CBCT scans, such as complex artifacts and indistinct tooth boundaries. |
XIANG FENG et. al. | arxiv-cs.CV | 2023-11-11 |
203 | U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents U3DS$^3$, as a step towards completely unsupervised point cloud segmentation for any holistic 3D scenes. |
Jiaxu Liu; Zhengdi Yu; Toby P. Breckon; Hubert P. H. Shum; | arxiv-cs.CV | 2023-11-10 |
204 | Lidar Annotation Is All You Need Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The work described in this paper aims to improve the efficiency of image segmentation using a convolutional neural network in a multi-sensor setup. |
Dinar Sharafutdinov; Stanislav Kuskov; Saian Protasov; Alexey Voropaev; | arxiv-cs.CV | 2023-11-08 |
205 | Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a two-stage unsupervised foreground object segmentation network tailored for dynamic scenes affected by atmospheric turbulence. |
Dehao Qin; Ripon Saha; Suren Jayasuriya; Jinwei Ye; Nianyi Li; | arxiv-cs.CV | 2023-11-06 |
206 | Pelvic Floor MRI Segmentation Based on Semi-supervised Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Insufficient segmentation labels limit the precise segmentation and reconstruction of pelvic floor organs. To address these issues, we propose a semi-supervised framework for pelvic organ segmentation. |
JIANWEI ZUO et. al. | arxiv-cs.CV | 2023-11-06 |
207 | SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose SegGen, a highly-effective training data generation method for image segmentation, which pushes the performance limits of state-of-the-art segmentation models to a significant extent. |
HANRONG YE et. al. | arxiv-cs.CV | 2023-11-06 |
208 | PotholeGuard: A Pothole Detection Approach By Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research presents an innovative point cloud-based pothole segmentation architecture. |
SAHIL NAWALE et. al. | arxiv-cs.CV | 2023-11-05 |
209 | ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: So far there is neither a method fulfilling all of these requirements in unison nor a benchmark that could be used to test such a method. Addressing this, we propose ISAR, a benchmark and baseline method for single- and few-shot object Instance Segmentation And Re-identification, in an effort to accelerate the development of algorithms that can robustly detect, segment, and re-identify objects from a single or a few sparse training examples. |
Nicolas Gorlo; Kenneth Blomqvist; Francesco Milano; Roland Siegwart; | arxiv-cs.CV | 2023-11-05 |
210 | MemorySeg: Online LiDAR Semantic Segmentation with A Latent Memory Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the challenge of exploiting the information from the past frames to improve the predictions of the current frame in an online fashion. |
Enxu Li; Sergio Casas; Raquel Urtasun; | arxiv-cs.CV | 2023-11-02 |
211 | Joint Depth Prediction and Semantic Segmentation with Multi-View SAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With this work we propose a Multi-View Stereo (MVS) technique for depth prediction that benefits from rich semantic features of the Segment Anything Model (SAM). |
Mykhailo Shvets; Dongxu Zhao; Marc Niethammer; Roni Sengupta; Alexander C. Berg; | arxiv-cs.CV | 2023-10-31 |
212 | SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we demonstrate that the smoothness prior, asserting that close features in a metric space share the same semantics, can significantly simplify segmentation by casting unsupervised semantic segmentation as an energy minimization problem. Under this paradigm, we propose a novel approach called SmooSeg that harnesses self-supervised learning methods to model the closeness relationships among observations as smoothness signals. |
MENGCHENG LAN et. al. | arxiv-cs.CV | 2023-10-26 |
213 | SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we leverage SAM and existing RS object detection datasets to develop an efficient pipeline for generating a large-scale RS segmentation dataset, dubbed SAMRS. |
DI WANG et. al. | nips | 2023-10-24 |
214 | ClusterFomer: Clustering As A Universal Visual Learner Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents ClusterFormer, a universal vision model that is based on the Clustering paradigm with TransFormer. |
JAMES LIANG et. al. | nips | 2023-10-24 |
215 | Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose $\texttt{ARCO}$, a semi-supervised contrastive learning (CL) framework with stratified group theory for medical image segmentation. |
CHENYU YOU et. al. | nips | 2023-10-24 |
216 | GNeSF: Generalizable Neural Semantic Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing approaches still requires expensive per-scene optimization that prohibits generalization to novel scenes during inference. To circumvent this problem, we introduce a generalizable 3D segmentation framework based on implicit representation. |
Hanlin Chen; Chen Li; Mengqi Guo; Zhiwen Yan; Gim Hee Lee; | arxiv-cs.CV | 2023-10-24 |
217 | Uncertainty Estimation for Safety-critical Scene Segmentation Via Fine-grained Reward Maximization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel fine-grained reward maximization (FGRM) framework, to address uncertainty estimation by directly utilizing an uncertainty metric related reward function with a reinforcement learning based model tuning paradigm. |
Hongzheng Yang; Cheng Chen; Yueyao CHEN; Hon Chi Yip; DOU QI; | nips | 2023-10-24 |
218 | OV-PARTS: Towards Open-Vocabulary Part Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Furthermore, the large-scale vision and language models, which play a key role in the open vocabulary setting, struggle to recognize parts as effectively as objects. To comprehensively investigate and tackle these challenges, we propose an Open-Vocabulary Part Segmentation (OV-PARTS) benchmark. |
MENG WEI et. al. | nips | 2023-10-24 |
219 | Label-efficient Segmentation Via Affinity Propagation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we formulate the affinity modeling task as an affinity propagation process, and consequently propose both local and global pairwise affinity terms to generate accurate soft pseudo labels. |
WENTONG LI et. al. | nips | 2023-10-24 |
220 | Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes the Object Style Compensation, where we construct the Object-Level Discrepancy Memory with multiple sets of discrepancy features. |
TINGLIANG FENG et. al. | nips | 2023-10-24 |
221 | Bridging Semantic Gaps for Language-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such semantic misalignment circulates in pre-training, leading to inferior zero-shot performance in dense predictions due to insufficient visual concepts captured in textual representations. To close such semantic gap, we propose Concept Curation (CoCu), a pipeline that leverages CLIP to compensate for the missing semantics. |
YUN XING et. al. | nips | 2023-10-24 |
222 | AIMS: All-Inclusive Multi-Level Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new task, All-Inclusive Multi-Level Segmentation (AIMS), which segments visual regions into three levels: part, entity, and relation (two entities with some semantic relationships). |
LU QI et. al. | nips | 2023-10-24 |
223 | Anatomically-aware Uncertainty for Semi-supervised Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes a novel method to estimate segmentation uncertainty by leveraging global information from the segmentation masks. |
Sukesh Adiga V; Jose Dolz; Herve Lombaert; | arxiv-cs.CV | 2023-10-24 |
224 | Towards Label-free Scene Understanding By Vision Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the potential of vision foundation models in enabling networks to comprehend 2D and 3D worlds without labelled data. |
RUNNAN CHEN et. al. | nips | 2023-10-24 |
225 | Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel Fairness Continual Learning approach to the semantic segmentation problem. |
Thanh-Dat Truong; Hoang-Quan Nguyen; Bhiksha Raj; Khoa Luu; | nips | 2023-10-24 |
226 | Bridging The Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, their potential to enrich 3D scene representation learning is largely untapped due to the existence of the domain gap. In this work, we propose an innovative methodology called Bridge3D to address this gap by pre-training 3D models using features, semantic masks, and captions sourced from foundation models. |
Zhimin Chen; Bing Li; | nips | 2023-10-24 |
227 | Segment Everything Everywhere All at Once IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present SEEM, a promotable and interactive model for segmenting everything everywhere all at once in an image. |
XUEYAN ZOU et. al. | nips | 2023-10-24 |
228 | Pixel-Level Clustering Network for Unsupervised Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a pixel-level clustering framework for segmenting images into regions without using ground truth annotations. |
Cuong Manh Hoang; Byeongkeun Kang; | arxiv-cs.CV | 2023-10-24 |
229 | Augmentation-free Dense Contrastive Distillation for Efficient Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods heavily rely on data augmentation and memory buffer, which entail high computational resource demands when applying them to handle semantic segmentation that requires to preserve high-resolution feature maps for making dense pixel-wise predications. In order to alleviate this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications. |
Jiawei Fan; Chao Li; Xiaolong Liu; Meina Song; Anbang Yao; | nips | 2023-10-24 |
230 | SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the lack of a global view of video content leads to difficulties in effectively utilizing inter-frame relationships and understanding textual descriptions of object temporal variations. To address this issue, we propose Semantic-assisted Object Cluster (SOC), which aggregates video content and textual guidance for unified temporal modeling and cross-modal alignment. |
ZHUOYAN LUO et. al. | nips | 2023-10-24 |
231 | OpenMask3D: Open-Vocabulary 3D Instance Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While such a representation can be directly employed to perform semantic segmentation, existing methods have limitations in their ability to handle object instances. In this work, we address this limitation, and propose OpenMask3D, which is a zero-shot approach for open-vocabulary 3D instance segmentation. |
AYCA TAKMAZ et. al. | nips | 2023-10-24 |
232 | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: It remains a challenging task since (1) it is hard to distinguish concealed objects from the background due to the intrinsic similarity and (2) the sparsely-annotated training data only provide weak supervision for model learning. In this paper, we propose a new WSCOS method to address these two challenges. |
CHUNMING HE et. al. | nips | 2023-10-24 |
233 | P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a real-time semantic segmentation architecture named Pyramid Pooling Axial Transformer (P2AT). |
Mohammed A. M. Elhassan; Changjun Zhou; Amina Benabid; Abuzar B. M. Adam; | arxiv-cs.CV | 2023-10-23 |
234 | Lidar Panoptic Segmentation and Tracking Without Bells and Whistles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we re-think this approach and propose a surprisingly simple yet effective detection-centric network for both LPS and tracking. |
ABHINAV AGARWALLA et. al. | arxiv-cs.CV | 2023-10-19 |
235 | Minimalist and High-Performance Semantic Segmentation with Plain Vision Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As a result, we introduce the PlainSeg, a model comprising only three 3$\times$3 convolutions in addition to the transformer layers (either encoder or decoder). |
Yuanduo Hong; Jue Wang; Weichao Sun; Huihui Pan; | arxiv-cs.CV | 2023-10-19 |
236 | Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, we introduce a local boundary consistency constraint method that explores the relationship between tissue region segmentation and tissue boundary localization tasks. |
Yanyu Ye; Zhenxi Zhang; Wei Wei; Chunna Tian; | arxiv-cs.CV | 2023-10-18 |
237 | SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents an adaptive transformer model named SegmATRon for embodied image semantic segmentation. |
Tatiana Zemskova; Margarita Kichik; Dmitry Yudin; Aleksei Staroverov; Aleksandr Panov; | arxiv-cs.CV | 2023-10-18 |
238 | Loci-Segmented: Improving Scene Segmentation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Current slot-oriented approaches for compositional scene segmentation from images and videos rely on provided background information or slot assignments. We present a segmented location and identity tracking system, Loci-Segmented (Loci-s), which does not require either of this information. |
Manuel Traub; Frederic Becker; Adrian Sauter; Sebastian Otte; Martin V. Butz; | arxiv-cs.CV | 2023-10-16 |
239 | Volumetric Medical Image Segmentation Via Scribble Annotations and Shape Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Furthermore, most current methods are designed for 2D image segmentation, which do not fully leverage the volumetric information if directly applied to each image slice. In this paper, we propose a scribble-based volumetric image segmentation, Scribble2D5, which tackles 3D anisotropic image segmentation and aims to its improve boundary prediction. |
Qiuhui Chen; Haiying Lyu; Xinyue Hu; Yong Lu; Yi Hong; | arxiv-cs.CV | 2023-10-12 |
240 | S4C: Self-Supervised Semantic Scene Completion with Neural Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This process relies on special sensors and annotation by hand which are costly and do not scale well. To overcome this issue, our work presents the first self-supervised approach to SSC called S4C that does not rely on 3D ground truth data. |
Adrian Hayler; Felix Wimbauer; Dominik Muhle; Christian Rupprecht; Daniel Cremers; | arxiv-cs.CV | 2023-10-11 |
241 | Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we re-purpose an open-vocabulary detector, segmenter, and dense optical flow estimator, into a model that tracks and segments objects of any category in 2D videos. |
WEN-HSUAN CHU et. al. | arxiv-cs.CV | 2023-10-10 |
242 | Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image semantic segmentation is a dense prediction task in computer vision that is dominated by deep learning techniques in recent years. UNet, which is a symmetric encoder-decoder … |
Ziyang Wang; Meiwen Su; Jian-Qing Zheng; Yang Liu; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
243 | Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach to perform 3D semantic segmentation solely from 2D supervision by leveraging Neural Radiance Fields (NeRFs). |
Dominik Hollidt; Clinton Wang; Polina Golland; Marc Pollefeys; | arxiv-cs.CV | 2023-10-08 |
244 | Structure-Preserving Instance Segmentation Via Skeleton-Aware Distance Transform Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While the distance transform (DT) makes instance interiors and boundaries more distinguishable, it tends to overlook the intra-object connectivity for instances with varying width and result in over-segmentation. To address these challenges, we propose a skeleton-aware distance transform (SDT) that combines the merits of object skeleton in preserving connectivity and DT in modeling geometric arrangement to represent instances with arbitrary structures. |
ZUDI LIN et. al. | arxiv-cs.CV | 2023-10-08 |
245 | Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel UDA method that refines both label and feature levels for dynamic and small objects for nighttime semantic segmentation. |
Jingyi Pan; Sihang Li; Yucheng Chen; Jinjing Zhu; Lin Wang; | arxiv-cs.CV | 2023-10-07 |
246 | A Deeply Supervised Semantic Segmentation Method Based on GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an improved semantic segmentation model that combines the strengths of adversarial learning with state-of-the-art semantic segmentation techniques. |
Wei Zhao; Qiyu Wei; Zeng Zeng; | arxiv-cs.CV | 2023-10-06 |
247 | DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce DiffPrompter, a novel differentiable visual and latent prompting mechanism aimed at expanding the learning capabilities of existing adaptors in foundation models. |
SANKET KALWAR et. al. | arxiv-cs.CV | 2023-10-06 |
248 | Ablation Study to Clarify The Mechanism of Object Segmentation in Multi-Object Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Multi-object representation learning aims to represent complex real-world visual input using the composition of multiple objects. Representation learning methods have often used unsupervised learning to segment an input image into individual objects and encode these objects into each latent vector. |
Takayuki Komatsu; Yoshiyuki Ohmura; Yasuo Kuniyoshi; | arxiv-cs.CV | 2023-10-04 |
249 | TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel approach to the semantic segmentation of radar scenes using a multi-input fusion of radar data through a novel architecture and loss functions that are tailored to tackle the drawbacks of radar perception. |
Yahia Dalbah; Jean Lahoud; Hisham Cholakkal; | arxiv-cs.CV | 2023-10-03 |
250 | CLIP Is Also A Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, we propose CLIP-ZSS (Zero-shot Semantic Segmentation), a simple but effective training framework that enables any image encoder designed for closed-set segmentation applied in zero-shot and open-vocabulary tasks in testing without combining with VLMs or inserting new modules. |
Jialei Chen; Daisuke Deguchi; Chenkai Zhang; Xu Zheng; Hiroshi Murase; | arxiv-cs.CV | 2023-10-03 |
251 | STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the problem of sim-to-real transfer for object segmentation when there is no access to real examples of an object of interest during training, i.e. zero-shot sim-to-real transfer for segmentation. |
Advaith Venkatramanan Sethuraman; Katherine A. Skinner; | arxiv-cs.CV | 2023-10-02 |
252 | CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we embark on an in-depth analysis of the region-language alignment in CLIP models, which is essential for downstream open-vocabulary dense prediction tasks. |
SIZE WU et. al. | arxiv-cs.CV | 2023-10-02 |
253 | Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a simple and efficient topology-aware energy loss function-based network training strategy named EIEGSeg is proposed. |
Yaxin Feng; Yuan Lan; Luchan Zhang; Guoqing Liu; Yang Xiang; | arxiv-cs.CV | 2023-10-01 |
254 | Propagating Semantic Labels in Video Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a method for performing segmentation for objects in video. |
David Balaban; Justin Medich; Pranay Gosar; Justin Hart; | arxiv-cs.CV | 2023-10-01 |
255 | An Easy Zero-shot Learning Combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We proposed an easy method of Zero-Shot semantic segmentation by using style transfer. |
ZHIYONG YANG et. al. | arxiv-cs.CV | 2023-09-30 |
256 | Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the dual-augmented transformer network with self-regularization constraints for WSSS. |
Jingliang Deng; Zonghan Li; | arxiv-cs.CV | 2023-09-30 |
257 | APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on semantic segmentation method for point clouds of urban scenes. |
Weijie Wei; Martin R. Oswald; Fatemeh Karimi Nejadasl; Theo Gevers; | arxiv-cs.CV | 2023-09-29 |
258 | NnSAM: Plug-and-play Segment Anything Model Improves NnUNet Performance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To combine the advantages of foundation models and domain-specific models, we present nnSAM, which synergistically integrates the SAM model with the nnUNet model to achieve more accurate and robust medical image segmentation. |
Yunxiang Li; Bowen Jing; Zihan Li; Jing Wang; You Zhang; | arxiv-cs.CV | 2023-09-29 |
259 | SegRCDB: Semantic Segmentation Via Formula-Driven Supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Segmentation Radial Contour DataBase (SegRCDB), which for the first time applies formula-driven supervised learning for semantic segmentation. |
RISA SHINODA et. al. | arxiv-cs.CV | 2023-09-29 |
260 | Voting Network for Contour Levee Farmland Segmentation and Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an end-to-end trainable network for segmenting farmlands with contour levees from high-resolution aerial imagery. |
Abolfazl Meyarian; Xiaohui Yuan; | arxiv-cs.CV | 2023-09-28 |
261 | COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel Co-Occurrent Matching Network (COMNet), which can promote the quality of the CAMs and enforce the network to pay attention to the entire parts of objects. |
Yukun Su; Jingliang Deng; Zonghan Li; | arxiv-cs.CV | 2023-09-28 |
262 | Model2Scene: Learning 3D Scene Representation Via Contrastive Language-CAD Models Pre-training Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Model2Scene, a novel paradigm that learns free 3D scene representation from Computer-Aided Design (CAD) models and languages. |
RUNNAN CHEN et. al. | arxiv-cs.CV | 2023-09-28 |
263 | Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a continual-learning method to segment object instances from image-level labels. |
YU-HSING HSIEH et. al. | iccv | 2023-09-27 |
264 | SATR: Zero-Shot Semantic Segmentation of 3D Shapes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore the task of zero-shot semantic segmentation of 3D shapes by using large-scale off-the-shelf 2D im- age recognition models. |
Ahmed Abdelreheem; Ivan Skorokhodov; Maks Ovsjanikov; Peter Wonka; | iccv | 2023-09-27 |
265 | Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to perform online fine-tuning on the pre-trained segmentation model to adapt to any ad-hoc videos at the test time. |
Tiankang Su; Huihui Song; Dong Liu; Bo Liu; Qingshan Liu; | iccv | 2023-09-27 |
266 | SA-BEV: Generating Semantic-Aware Bird’s-Eye-View Feature for Multi-view 3D Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Semantic-Aware BEV Pooling (SA-BEVPool), which can filter out background information according to the semantic segmentation of image features and transform image features into semantic-aware BEV features. |
Jinqing Zhang; Yanan Zhang; Qingjie Liu; Yunhong Wang; | iccv | 2023-09-27 |
267 | Coarse-to-Fine Amodal Segmentation with Shape Prior Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Amodal object segmentation is a challenging task that involves segmenting both visible and occluded parts of an object. In this paper, we propose a novel approach, called Coarse-to-Fine Segmentation (C2F-Seg), that addresses this problem by progressively modeling the amodal segmentation. |
JIANXIONG GAO et. al. | iccv | 2023-09-27 |
268 | CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet effective Contextual Point Cloud Modeling (CPCM) method that consists of two parts: a region-wise masking (RegionMask) strategy and a contextual masked training (CMT) method. |
LIZHAO LIU et. al. | iccv | 2023-09-27 |
269 | Re:PolyWorld – A Graph Neural Network for Polygonal Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The objective of this work was to overcome weaknesses and shortcomings of the original model, as well as introducing an improved polygonal representation to obtain a general-purpose method for polygon extraction in images. |
Stefano Zorzi; Friedrich Fraundorfer; | iccv | 2023-09-27 |
270 | Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing approaches often rely on expensive human annotations as supervision for model training, limiting their scalability to large, unlabeled datasets. To address this challenge, we present ZeroSeg, a novel method that leverages the existing pretrained vision-language (VL) model (e.g. CLIP vision encoder) to train open-vocabulary zero-shot semantic segmentation models. |
JUN CHEN et. al. | iccv | 2023-09-27 |
271 | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird’s-Eye View Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose to use parametric depth distribution modeling for feature transformation. |
Jiayu Yang; Enze Xie; Miaomiao Liu; Jose M. Alvarez; | iccv | 2023-09-27 |
272 | Stochastic Segmentation with Conditional Categorical Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this context, stochastic semantic segmentation methods must learn to predict conditional distributions of labels given the image, but this is challenging due to the typically multimodal distributions, high-dimensional output spaces, and limited annotation data. To address these challenges, we propose a conditional categorical diffusion model (CCDM) for semantic segmentation based on Denoising Diffusion Probabilistic Models. |
LUKAS ZBINDEN et. al. | iccv | 2023-09-27 |
273 | CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel unsupervised Cross-Modality Domain Adaptation (CMDA) framework to leverage multi-modality (Images and Events) information for nighttime semantic segmentation, with only labels on daytime images. |
RUIHAO XIA et. al. | iccv | 2023-09-27 |
274 | Video Object Segmentation-aware Video Frame Interpolation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a video object segmentation (VOS)-aware training framework called VOS-VFI that allows VFI models to interpolate frames with more precise object boundaries. |
Jun-Sang Yoo; Hongjae Lee; Seung-Won Jung; | iccv | 2023-09-27 |
275 | MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To investigate the feasibility of using motion expressions to ground and segment objects in videos, we propose a large-scale dataset called MeViS, which contains numerous motion expressions to indicate target objects in complex environments. |
Henghui Ding; Chang Liu; Shuting He; Xudong Jiang; Chen Change Loy; | iccv | 2023-09-27 |
276 | SegGPT: Towards Segmenting Everything in Context Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present SegGPT, a generalist model for segmenting everything in context. |
XINLONG WANG et. al. | iccv | 2023-09-27 |
277 | Attention Discriminant Sampling for Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes an attention-driven approach to 3-D point cloud sampling. |
Cheng-Yao Hong; Yu-Ying Chou; Tyng-Luh Liu; | iccv | 2023-09-27 |
278 | MARS: Model-agnostic Biased Object Removal Without Additional Supervision for Weakly-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Following the first observation that biased features can be separated and eliminated by matching biased objects with backgrounds in the same dataset, we propose a fully-automatic/model-agnostic biased removal framework called MARS (Model-Agnostic biased object Removal without additional Supervision), which utilizes semantically consistent features of an unsupervised technique to eliminate biased objects in pseudo labels. |
Sanghyun Jo; In-Jae Yu; Kyungsu Kim; | iccv | 2023-09-27 |
279 | Domain Generalization of 3D Semantic Segmentation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite its importance, domain generalization is relatively unexplored in the case of 3D autonomous driving semantic segmentation. To fill this gap, this paper presents the first benchmark for this application by testing state-of-the-art methods and discussing the difficulty of tackling Laser Imaging Detection and Ranging (LiDAR) domain shifts. |
Jules Sanchez; Jean-Emmanuel Deschaud; François Goulette; | iccv | 2023-09-27 |
280 | 3D Segmentation of Humans in Point Clouds with Synthetic Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Few works have attempted to directly segment humans in cluttered 3D scenes, which is largely due to the lack of annotated training data of humans interacting with 3D scenes. We address this challenge and propose a framework for generating training data of synthetic humans interacting with real 3D scenes. |
AYÇA TAKMAZ et. al. | iccv | 2023-09-27 |
281 | Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, in more realistic scenarios, only minimal annotations are available for a new scene, which poses significant challenges to existing RVOS methods. With this in mind, we propose a simple yet effective model with a newly designed cross-modal affinity (CMA) module based on a Transformer architecture. |
Guanghui Li; Mingqi Gao; Heng Liu; Xiantong Zhen; Feng Zheng; | iccv | 2023-09-27 |
282 | Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a weakly supervised learning method for RIS that only uses readily available image-text pairs. |
JUNGBEOM LEE et. al. | iccv | 2023-09-27 |
283 | Open-vocabulary Object Segmentation with Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The goal of this paper is to extract the visual-language correspondence from a pre-trained text-to-image diffusion model, in the form of segmentation map, i.e., simultaneously generating images and segmentation masks for the corresponding visual entities described in the text prompt. |
ZIYI LI et. al. | iccv | 2023-09-27 |
284 | MasQCLIP for Open-Vocabulary Universal Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new method for open-vocabulary universal image segmentation, which is capable of performing instance, semantic, and panoptic segmentation under a unified framework. |
Xin Xu; Tianyi Xiong; Zheng Ding; Zhuowen Tu; | iccv | 2023-09-27 |
285 | Continual Segment: Towards A Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a new architectural CSS learning framework to learn a single deep segmentation model for segmenting a total of 143 whole-body organs. |
ZHANGHEXUAN JI et. al. | iccv | 2023-09-27 |
286 | Instance Neural Radiance Field Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents one of the first learning-based NeRF 3D instance segmentation pipelines, dubbed as Instance Neural Radiance Field, or Instance-NeRF. |
Yichen Liu; Benran Hu; Junkai Huang; Yu-Wing Tai; Chi-Keung Tang; | iccv | 2023-09-27 |
287 | UniverSeg: Universal Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present UniverSeg, a method for solving unseen medical segmentation tasks without additional training. |
VICTOR ION BUTOI et. al. | iccv | 2023-09-27 |
288 | UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and The OpenPCSeg Codebase Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a unified multi-modal LiDAR segmentation network, termed UniSeg, which leverages the information of RGB images and three views of the point cloud, and accomplishes semantic segmentation and panoptic segmentation simultaneously. |
YOUQUAN LIU et. al. | iccv | 2023-09-27 |
289 | Tracking Anything with Decoupled Video Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To ‘track anything’ without training on video data for every individual task, we develop a decoupled video segmentation approach (DEVA), composed of task-specific image-level segmentation and class/task-agnostic bi-directional temporal propagation. |
Ho Kei Cheng; Seoung Wug Oh; Brian Price; Alexander Schwing; Joon-Young Lee; | iccv | 2023-09-27 |
290 | High Quality Entity Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given the high-quality and -resolution nature of the dataset, we propose CropFormer which is designed to tackle the intractability of instance-level segmentation on high-resolution images. |
LU QI et. al. | iccv | 2023-09-27 |
291 | LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is because they have to synthesize intricate details about all objects in an image based on a text description. Therefore, we present a technique for segmenting real and AI-generated images using latent diffusion models (LDMs) trained on internet-scale datasets. |
Koutilya PNVR; Bharat Singh; Pallabi Ghosh; Behjat Siddiquie; David Jacobs; | iccv | 2023-09-27 |
292 | InterFormer: Real-time Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: First, annotators’ later click is based on models’ feedback of annotators’ former click. This serial interaction is unable to utilize model’s parallelism capabilities. Second, in each interaction step, the model handles the invariant image along with the sparse variable clicks, resulting in a process that’s highly repetitive and redundant. For efficient computations, we propose a method named InterFormer that follows a new pipeline to address these issues. |
YOU HUANG et. al. | iccv | 2023-09-27 |
293 | Boosting Semantic Segmentation from The Perspective of Explicit Class Embeddings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the mechanism of class embeddings and have an insight that more explicit and meaningful class embeddings can be generated based on class masks purposely. |
Yuhe Liu; Chuanjian Liu; Kai Han; Quan Tang; Zengchang Qin; | iccv | 2023-09-27 |
294 | Segment Every Reference Object in Spatial and Temporal Spaces Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we end the current fragmented situation and propose UniRef to unify the three reference-based object segmentation tasks with a single architecture. |
JIANNAN WU et. al. | iccv | 2023-09-27 |
295 | Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by recent advances in 2D vision that unify image segmentation and detection by Transformer-based models, we present Uni-3D, a holistic 3D scene parsing/reconstruction system for a single RGB image. |
Xiang Zhang; Zeyuan Chen; Fangyin Wei; Zhuowen Tu; | iccv | 2023-09-27 |
296 | Multi-Object Discovery By Low-Dimensional Object Motion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to model pixel-wise geometry and object motion to remove ambiguity in reconstructing flow from a single image. |
Sadra Safadoust; Fatma Güney; | iccv | 2023-09-27 |
297 | Towards Content-based Pixel Retrieval in Revisited Oxford and Paris Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the first two landmark pixel retrieval benchmarks. |
GUOYUAN AN et. al. | iccv | 2023-09-27 |
298 | Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation Using High-Resolution Domain Adaptation Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e.g., single cities or regions). Yet these AI models tend to meet the performance bottleneck in the case studies across cities or regions, due to the lack of diverse RS information and cutting-edge solutions with high generalization ability. |
DANFENG HONG et. al. | arxiv-cs.CV | 2023-09-26 |
299 | Weakly Supervised Semantic Segmentation By Knowledge Graph Inference Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Furthermore, CNN-based local convolutions lack the ability to model the extensive inter-category dependencies. Therefore, this paper introduces a graph reasoning-based approach to enhance WSSS. |
Jia Zhang; Bo Peng; Xi Wu; | arxiv-cs.CV | 2023-09-25 |
300 | CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Several methods have proposed different modifications and learning schemes to produce dense output. |
Monika Wysoczańska; Michaël Ramamonjisoa; Tomasz Trzciński; Oriane Siméoni; | arxiv-cs.CV | 2023-09-25 |
301 | Scene Parsing Using Fully Convolutional Network for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When it comes to computer vision, scene parsing is a crucial part of semantic segmentation. It has a wide range of applications, including autonomous driving, robotics, gaming, … |
Nisar Ali; Ali Zeeshan Ijaz; Raja Hashim Ali; Zain Ul Abideen; Abdul Bais; | 2023 IEEE Canadian Conference on Electrical and Computer … | 2023-09-24 |
302 | OneSeg: Self-learning and One-shot Learning Based Single-slice Annotation for 3D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To significantly reduce annotation efforts while attaining competitive segmentation accuracy, we propose a self-learning and one-shot learning based framework for 3D medical image segmentation by annotating only one slice of each 3D image. |
Yixuan Wu; Bo Zheng; Jintai Chen; Danny Z. Chen; Jian Wu; | arxiv-cs.CV | 2023-09-24 |
303 | LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is in stark contrast to human cognition which abstracts visual perceptions at multiple levels and conducts symbolic reasoning with such structured abstraction. To fill these fundamental gaps, we devise LOGICSEG, a holistic visual semantic parser that integrates neural inductive learning and logic reasoning with both rich data and symbolic knowledge. |
Liulei Li; Wenguan Wang; Yi Yang; | arxiv-cs.CV | 2023-09-24 |
304 | Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Such semantic misalignment circulates in pre-training, leading to inferior zero-shot performance in dense predictions due to insufficient visual concepts captured in textual representations. To close such semantic gap, we propose Concept Curation (CoCu), a pipeline that leverages CLIP to compensate for the missing semantics. |
YUN XING et. al. | arxiv-cs.CV | 2023-09-23 |
305 | ClusterFormer: Clustering As A Universal Visual Learner Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents CLUSTERFORMER, a universal vision model that is based on the CLUSTERing paradigm with TransFORMER. |
JAMES C. LIANG et. al. | arxiv-cs.CV | 2023-09-22 |
306 | Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve this, semantic knowledge is distilled by learning to correlate randomly sampled features from images across an entire dataset. In this work, we build upon these advances by incorporating information about the structure of the scene into the training process through the use of depth information. |
Leon Sick; Dominik Engel; Pedro Hermosilla; Timo Ropinski; | arxiv-cs.CV | 2023-09-21 |
307 | MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we consider a more practical UDA setting where the target domain contains sequential frames of the unlabeled videos which are easy to collect in practice. |
Fei Pan; Xu Yin; Seokju Lee; Sungeui Yoon; In So Kweon; | arxiv-cs.CV | 2023-09-20 |
308 | Change of Scenery: Unsupervised LiDAR Change Detection for Mobile Robots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a fully unsupervised deep change detection approach for mobile robots with 3D LiDAR. |
Alexander Krawciw; Jordy Sehn; Timothy D. Barfoot; | arxiv-cs.RO | 2023-09-19 |
309 | CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present CaveSeg – the first visual learning pipeline for semantic segmentation and scene parsing for AUV navigation inside underwater caves. |
A. ABDULLAH et. al. | arxiv-cs.RO | 2023-09-19 |
310 | Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we use instance segmentation to calculate the area of individual objects within an image, we use YOLOV7 in Roboflow to generate a set of bounding boxes for each object in the image with a class label and a confidence score for every detection. |
Mohana Sri S; Swethaa S; Aouthithiye Barathwaj SR Y; Sai Ganesh CS; | arxiv-cs.CV | 2023-09-19 |
311 | DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present DFormer, a novel RGB-D pretraining framework to learn transferable representations for RGB-D segmentation tasks. |
BOWEN YIN et. al. | arxiv-cs.CV | 2023-09-18 |
312 | Active Learning for Semantic Segmentation with Multi-class Label Query Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new active learning method for semantic segmentation. |
SEHYUN HWANG et. al. | arxiv-cs.CV | 2023-09-17 |
313 | GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the issue of semantic contradiction in a gradient-guided manner using our proposed Gradient Mitigator method, which systematically unifies multi-perspective meta labels to enable a pre-trained model to attain a better high-level semantic recognition ability. |
YIXUAN WU et. al. | arxiv-cs.CV | 2023-09-16 |
314 | MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a modality-agnostic SAM adaptation framework, named as MA-SAM, that is applicable to various volumetric and video medical data. |
CHENG CHEN et. al. | arxiv-cs.CV | 2023-09-15 |
315 | Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, we propose to use a simple two-round matching mechanism to involve more queries matched with minimal cost during training while without any extra cost during inference. |
Zhaochong An; Guolei Sun; Zongwei Wu; Hao Tang; Luc Van Gool; | arxiv-cs.CV | 2023-09-14 |
316 | JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation Through Self-Attention and Multiscale Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose JSMNet, which combines a multi-layer network with a global feature self-attention module to jointly segment three-dimensional point cloud semantics and instances. |
Shuochen Xu; Zhenxin Zhang; | arxiv-cs.CV | 2023-09-14 |
317 | Active Label Refinement for Semantic Segmentation of Satellite Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, obtaining expert labels for these images is costly. Therefore, we propose to rely on a low-cost approach, e.g. crowdsourcing or pretrained networks, to label the images in the first step. |
TUAN PHAM MINH et. al. | arxiv-cs.CV | 2023-09-12 |
318 | Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper begins with a summary of the fundamental compression methods for designing efficient deep neural networks and provides a brief but comprehensive survey, outlining the recent developments in real-time semantic segmentation of remote sensing imagery. We examine several seminal efficient deep learning methods, placing them in a taxonomy based on the network architecture design approach. |
Clifford Broni-Bediako; Junshi Xia; Naoto Yokoya; | arxiv-cs.CV | 2023-09-12 |
319 | Panoptic Vision-Language Feature Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to the best of our knowledge the first algorithm for open-vocabulary panoptic segmentation in 3D scenes. |
Haoran Chen; Kenneth Blomqvist; Francesco Milano; Roland Siegwart; | arxiv-cs.CV | 2023-09-11 |
320 | Towards Content-based Pixel Retrieval in Revisited Oxford and Paris Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the first two pixel retrieval benchmarks. |
GUOYUAN AN et. al. | arxiv-cs.CV | 2023-09-11 |
321 | Medical Image Segmentation with Belief Function Theory and Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this thesis, we study medical image segmentation approaches with belief function theory and deep learning, specifically focusing on information modeling and fusion based on uncertain evidence. |
Ling Huang; | arxiv-cs.CV | 2023-09-11 |
322 | Learning Semantic Segmentation with Query Points Supervision on Aerial Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a weakly supervised learning algorithm to train semantic segmentation algorithms that only rely on query point annotations instead of full mask labels. |
Santiago Rivier; Carlos Hinojosa; Silvio Giancola; Bernard Ghanem; | arxiv-cs.CV | 2023-09-11 |
323 | Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To further explore the self-correlation with the query image, we propose to adopt a classical spectral method to produce a class-agnostic segmentation mask based on the basic visual information of the image. |
LINHAN WANG et. al. | arxiv-cs.CV | 2023-09-11 |
324 | Grouping Boundary Proposals for Fast Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a new image segmentation model based on the minimal geodesic framework in conjunction with an adaptive cut-based circular optimal path computation scheme and a graph-based boundary proposals grouping scheme. |
Li Liu; Da Chen; Minglei Shu; Laurent D. Cohen; | arxiv-cs.CV | 2023-09-08 |
325 | Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a paradigm change by shifting from a per-pixel classification to a mask classification. |
Shyam Nandan Rai; Fabio Cermelli; Barbara Caputo; Carlo Masone; | arxiv-cs.CV | 2023-09-08 |
326 | Diffusion Model Is Secretly A Training-free Open Vocabulary Semantic Segmenter Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we uncover the potential of generative text-to-image diffusion models (e.g., Stable Diffusion) as highly efficient open-vocabulary semantic segmenters, and introduce a novel training-free approach named DiffSegmenter. |
JINGLONG WANG et. al. | arxiv-cs.CV | 2023-09-06 |
327 | Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to train a self-supervised encoder with Barlow Twins and use it as a pre-trained network in the task of semantic scene segmentation. |
Mariona Carós; Ariadna Just; Santi Seguí; Jordi Vitrià; | arxiv-cs.CV | 2023-09-05 |
328 | FOR-instance: A UAV Laser Scanning Benchmark Dataset for Semantic and Instance Segmentation of Individual Trees Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The FOR-instance dataset (available at https://doi.org/10.5281/zenodo.8287792) addresses the challenge of accurate individual tree segmentation from laser scanning data, crucial … |
STEFANO PULITI et. al. | ArXiv | 2023-09-03 |
329 | Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel-Level Accuracy IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In dam engineering, the presence of cracks and crack width are important indicators for diagnosing the health of dams. The accurate measurement of cracks facilitates the safe use … |
Zihao Wu; Yunchao Tang; Bo Hong; Bingqiang Liang; Yuping Liu; | Int. J. Intell. Syst. | 2023-09-02 |
330 | Self-supervised Semantic Segmentation: Consistency Over Transformation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, prevailing supervised deep learning approaches for medical image segmentation encounter significant challenges due to their heavy dependence on extensive labeled training data. To tackle this issue, we propose a novel self-supervised algorithm, \textbf{S$^3$-Net}, which integrates a robust framework based on the proposed Inception Large Kernel Attention (I-LKA) modules. |
SANAZ KARIMIJAFARBIGLOO et. al. | arxiv-cs.CV | 2023-08-31 |
331 | PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The dense nature of the prediction space has rendered existing efficient 2D-projection-based methods (e.g., bird’s eye view, range view, etc.) ineffective, as they can only describe a subspace of the 3D scene. To address this, we propose a cylindrical tri-perspective view to represent point clouds effectively and comprehensively and a PointOcc model to process them efficiently. |
Sicheng Zuo; Wenzhao Zheng; Yuanhui Huang; Jie Zhou; Jiwen Lu; | arxiv-cs.CV | 2023-08-31 |
332 | Shatter and Gather: Learning Referring Image Segmentation with Text Supervision Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, manual labeling of training data for this task is prohibitively costly, leading to lack of labeled data for training. We address this issue by a weakly supervised learning approach using text descriptions of training images as the only source of supervision. |
Dongwon Kim; Namyup Kim; Cuiling Lan; Suha Kwak; | arxiv-cs.CV | 2023-08-29 |
333 | Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these tasks are challenging due to the imbalance of points in different semantic categories for 3D semantic segmentation and the influence of dynamic objects for LiDAR odometry estimation, which increases the importance of using representative/salient landmarks as reference points for robust feature learning. To address these challenges, we propose a saliency-guided approach that leverages attention information to improve the performance of LiDAR odometry estimation and semantic segmentation models. |
Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura; | arxiv-cs.CV | 2023-08-28 |
334 | Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition to the domain gaps between natural and medical images, disparities in the spatial arrangement between 2D and 3D images, the substantial computational burden imposed by powerful GPU servers, and the time-consuming manual prompt generation impede the extension of SAM to a broader spectrum of medical image segmentation applications. To address these challenges, in this work, we introduce a novel method, AutoSAM Adapter, designed specifically for 3D multi-organ CT-based segmentation. |
CHENGYIN LI et. al. | arxiv-cs.CV | 2023-08-28 |
335 | Semi-Supervised Learning for Visual Bird’s Eye View Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel semi-supervised framework for visual BEV semantic segmentation to boost performance by exploiting unlabeled images during the training. |
JUNYU ZHU et. al. | arxiv-cs.CV | 2023-08-28 |
336 | Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper explores the application of pre-trained SAM and fine-tuned SAM on bloodstain image segmentation with diverse image backgrounds. |
Zihan Dong; ZhengDong Zhang; | arxiv-cs.CV | 2023-08-26 |
337 | SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method that combines the segmentation foundation model (i.e., SAM) with domain-specific knowledge for reliable utilization of unlabeled images in building a medical image segmentation model. |
YIZHE ZHANG et. al. | arxiv-cs.CV | 2023-08-26 |
338 | Interactive Segmentation in Aerial Images: A New Benchmark and An Open Access Web-based Tool Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to bridge the gap between interactive segmentation and remote sensing analysis by conducting a benchmark study on various interactive segmentation models. |
Zhe Wang; Shoukun Sun; Xiang Que; Xiaogang Ma; | arxiv-cs.CV | 2023-08-25 |
339 | PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, in this paper, we introduce a novel framework equipped with prompt enhancement, called PE-MED, for interactive medical image segmentation. |
AO CHANG et. al. | arxiv-cs.CV | 2023-08-25 |
340 | A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new augmentation-driven approach to domain generalization for semantic segmentation using a re-parameterized vision transformer (ReVT) with weight averaging of multiple models after training. |
Jan-Aike Termöhlen; Timo Bartels; Tim Fingscheidt; | arxiv-cs.CV | 2023-08-25 |
341 | Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This can negatively impact the context inference and accurate detection of critical states. In this study, we propose a solution to these challenges using a Space Time Correspondence Network (STCN). |
Zongyu Li; Ian Reyes; Homa Alemzadeh; | arxiv-cs.CV | 2023-08-24 |
342 | DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple yet effective transformer framework for self-supervised learning called DenseDINO to learn dense visual representations. |
Yike Yuan; Xinghe Fu; Yunlong Yu; Xi Li; | ijcai | 2023-08-23 |
343 | SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, they employ sequential structures and hence lack multi-scale information interaction. To address these limitations, we propose a Scale-Wise Language-Guided Vision Transformer (SLViT) with two appealing designs: (1) Language-Guided Multi-Scale Fusion Attention, a novel attention mechanism module for extracting rich local visual information and modeling global visual-linguistic relationships in an integrated manner. |
SHUYI OUYANG et. al. | ijcai | 2023-08-23 |
344 | RaMLP: Vision MLP Via Region-aware Mixing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent methods tried to address it but brought two new problems, long-range dependencies or important visual cues are ignored. This paper presents a new MLP-based architecture, Region-aware MLP (RaMLP), to satisfy various vision tasks and address the above three problems. |
Shenqi Lai; Xi Du; Jia Guo; Kaipeng Zhang; | ijcai | 2023-08-23 |
345 | Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the class imbalance problem makes the model favor the head classes with sufficient training samples, resulting in poor performance of the tail classes. To address this issue, we propose a Decoupled Semi-Supervise Semantic Segmentation (DeS4) framework based on the teacher-student model. |
CHUANGHAO DING et. al. | ijcai | 2023-08-23 |
346 | Semantic RGB-D Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a consequence, the annotated images lack diversity in appearance and approaches for RGB-D semantic image segmentation tend to overfit the training data. In this paper, we thus introduce semantic RGB-D image synthesis to address this problem. |
Shijie Li; Rong Li; Juergen Gall; | arxiv-cs.CV | 2023-08-22 |
347 | A Three in One Bottom-up Framework for Simultaneous Semantic Segmentation, Instance Segmentation and Classification of Multi-organ Nuclei in Digital Cancer Histology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce additional decoder heads with independent weighted losses, which produce semantic segmentation, edge proposals, and classification maps. |
Ibtihaj Ahmad; Syed Muhammad Israr; Zain Ul Islam; | arxiv-cs.CV | 2023-08-22 |
348 | Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose an evaluation protocol for zero-shot segmentation based on a prompting patch. |
JIANTAO WU et. al. | arxiv-cs.CV | 2023-08-22 |
349 | Affordance Segmentation of Hand-occluded Containers from Exocentric Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on occlusions of an object that is hand-held by a person manipulating it. |
TOMMASO APICELLA et. al. | arxiv-cs.CV | 2023-08-22 |
350 | LOCATE: Self-supervised Object Discovery Via Flow-guided Graph-cut and Bootstrapped Self-training Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Humans easily identify moving salient objects in videos using the gestalt principle of common fate, which suggests that what moves together belongs together. Building upon this idea, we propose a self-supervised object discovery approach that leverages motion and appearance information to produce high-quality object segmentation masks. |
Silky Singh; Shripad Deshmukh; Mausoom Sarkar; Balaji Krishnamurthy; | arxiv-cs.CV | 2023-08-22 |
351 | PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study establishes a publicly available CT dataset named PHE-SICH-CT-IDS for perihematomal edema in spontaneous intracerebral hemorrhage. |
DEGUO MA et. al. | arxiv-cs.CV | 2023-08-21 |
352 | Anomaly-Aware Semantic Segmentation Via Style-Aligned OoD Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we advance the OoD synthesis process by reducing the domain gap between the OoD data and driving scenes, effectively mitigating the style difference that might otherwise act as an obvious shortcut during training. |
Dan Zhang; Kaspar Sakmann; William Beluch; Robin Hutmacher; Yumeng Li; | arxiv-cs.CV | 2023-08-19 |
353 | Single Frame Semantic Segmentation Using Multi-Modal Spherical Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose a transformer-based cross-modal fusion architecture to bridge the gap between multi-modal fusion and omnidirectional scene perception. |
Suresh Guttikonda; Jason Rambach; | arxiv-cs.CV | 2023-08-18 |
354 | EAVL: Explicitly Align Vision and Language for Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of using a fixed convolution kernel, we propose an Aligner which explicitly aligns the vision and language features in the segmentation stage. |
Yichen Yan; Xingjian He; Wenxuan Wang; Sihan Chen; Jing Liu; | arxiv-cs.CV | 2023-08-18 |
355 | Microscopy Image Segmentation Via Point and Shape Regularized Data Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we assume access to point annotations only during training and develop a unified pipeline for microscopy image segmentation using synthetically generated training data. |
Shijie Li; Mengwei Ren; Thomas Ach; Guido Gerig; | arxiv-cs.CV | 2023-08-18 |
356 | MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the problem of long-tailed semantic segmentation. |
JUNAO SHEN et. al. | arxiv-cs.CV | 2023-08-16 |
357 | A One Stop 3D Target Reconstruction and Multilevel Segmentation Method Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose an open-source one stop 3D target reconstruction and multilevel segmentation framework (OSTRA), which performs segmentation on 2D images, tracks multiple instances with segmentation labels in the image sequence, and then reconstructs labelled 3D objects or multiple parts with Multi-View Stereo (MVS) or RGBD-based 3D reconstruction methods. |
Jiexiong Xu; Weikun Zhao; Zhiyan Tang; Xiangchao Gan; | arxiv-cs.CV | 2023-08-14 |
358 | LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided By Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By exploring the interpretability of intermediate modalities in existing translation architectures, we found that the intermediate modality in the image translation process for street scene images essentially performs semantic segmentation, distinguishing street images based on background and foreground patterns before assigning color information. Based on these principles, we propose an improved algorithm based on U-net called LadleNet. |
Tonghui Zou; Lei Chen; | arxiv-cs.CV | 2023-08-12 |
359 | FoodSAM: Any Food Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore the zero-shot capability of the Segment Anything Model (SAM) for food image segmentation. |
XING LAN et. al. | arxiv-cs.CV | 2023-08-11 |
360 | Scene-Generalizable Interactive Segmentation of Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we make the first attempt at Scene-Generalizable Interactive Segmentation in Radiance Fields (SGISRF) and propose a novel SGISRF method, which can perform 3D object segmentation for novel (unseen) scenes represented by radiance fields, guided by only a few interactive user clicks in a given set of multi-view 2D images. |
SONGLIN TANG et. al. | arxiv-cs.CV | 2023-08-09 |
361 | MixReorg: Cross-Modal Mixed Patch Reorganization Is A Good Mask Learner for Open-World Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models still face difficulties in learning fine-grained semantic alignment at the pixel level and predicting accurate object masks. To address this issue, we propose MixReorg, a novel and straightforward pre-training paradigm for semantic segmentation that enhances a model’s ability to reorganize patches mixed across images, exploring both local visual relevance and global semantic coherence. |
KAIXIN CAI et. al. | arxiv-cs.CV | 2023-08-09 |
362 | Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this strategy makes the classification branch dominate the whole concurrent training process, hindering these two branches from assisting each other. In our work, we treat these two branches equally by viewing them as diverse ways to generate the segmentation map, and add interactions on both their supervision and operation to achieve mutual promotion. |
LEI ZHU et. al. | arxiv-cs.CV | 2023-08-09 |
363 | SegMatch: A Semi-supervised Learning Method for Surgical Instrument Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose SegMatch, a semi supervised learning method to reduce the need for expensive annotation for laparoscopic and robotic surgical images. |
MENG WEI et. al. | arxiv-cs.CV | 2023-08-09 |
364 | Continual Road-Scene Semantic Segmentation Via Feature-Aligned Symmetric Multi-Modal Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we re-frame the task of multimodal semantic segmentation by enforcing a tightly-coupled feature representation and a symmetric information-sharing scheme, which allows our approach to work even when one of the input modalities is missing. |
Francesco Barbato; Elena Camuffo; Simone Milani; Pietro Zanuttigh; | arxiv-cs.CV | 2023-08-09 |
365 | EPCFormer: Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, due to the challenges in modeling representations for different modalities, contemporary methods struggle to strike a balance between interaction flexibility and high-precision localization and segmentation. In this paper, we address this problem from two perspectives: the alignment representation of audio and text and the deep interaction among audio, text, and visual features. |
JIAJUN CHEN et. al. | arxiv-cs.CV | 2023-08-08 |
366 | AquaSAM: Underwater Image Foreground Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work presents AquaSAM, the first attempt to extend the success of SAM on underwater images with the purpose of creating a versatile method for the segmentation of various underwater targets. |
Muduo Xu; Jianhao Su; Yutao Liu; | arxiv-cs.CV | 2023-08-08 |
367 | All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a new transformer-based regularization to better localize objects for Weakly supervised semantic segmentation (WSSS). |
WEIXUAN SUN et. al. | arxiv-cs.CV | 2023-08-08 |
368 | PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, a perception-aware fusion framework is proposed to promote segmentation robustness in adversarial scenes. |
ZHU LIU et. al. | arxiv-cs.CV | 2023-08-07 |
369 | Prototype Learning for Out-of-Distribution Polyp Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our objective in this study is to create a robust and well-generalized segmentation model named PrototypeLab that can assist in polyp segmentation. |
Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci; | arxiv-cs.CV | 2023-08-07 |
370 | AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose AdaptiveSAM – an adaptive modification of SAM that can adjust to new datasets quickly and efficiently, while enabling text-prompted segmentation. |
Jay N. Paranjape; Nithin Gopalakrishnan Nair; Shameema Sikder; S. Swaroop Vedula; Vishal M. Patel; | arxiv-cs.CV | 2023-08-07 |
371 | Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While deep learning models are increasingly used for this purpose, they require extensive annotated training data which is impractical to obtain in real-world healthcare settings. To bridge this gap, we present Syn-Mediverse, the first hyper-realistic multimodal synthetic dataset of diverse healthcare facilities. |
Rohit Mohan; José Arce; Sassan Mokhtar; Daniele Cattaneo; Abhinav Valada; | arxiv-cs.CV | 2023-08-06 |
372 | NP-SemiSeg: When Neural Processes Meet Semi-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we move one step forward by adapting NPs to semi-supervised semantic segmentation, resulting in a new model called NP-SemiSeg. |
Jianfeng Wang; Daniela Massiceti; Xiaolin Hu; Vladimir Pavlovic; Thomas Lukasiewicz; | arxiv-cs.CV | 2023-08-05 |
373 | Few-shot Class-Incremental Semantic Segmentation Via Pseudo-Labeling and Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For learning from limited data, we propose a pseudo-labeling strategy to augment the few-shot training annotations in order to learn novel classes more effectively. |
CHENGJIA JIANG et. al. | arxiv-cs.CV | 2023-08-05 |
374 | Synthetic Instance Segmentation from Semantic Image Segmentation Masks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel paradigm called synthetic instance segmentation (SISeg), which achieves Instance Segmentation results from image masks predicted using off-the-shelf semantic segmentation models. |
YUCHEN SHEN et. al. | arxiv-cs.CV | 2023-08-02 |
375 | Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, this work introduces a Dynamic Token Pruning (DToP) method based on the early exit of tokens for semantic segmentation. |
Quan Tang; Bowen Zhang; Jiajun Liu; Fagui Liu; Yifan Liu; | arxiv-cs.CV | 2023-08-02 |
376 | Learning to Generate Training Datasets for Robust Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach to improve the robustness of semantic segmentation techniques by leveraging the synergy between label-to-image generators and image-to-label segmentation models. |
MARWANE HARIAT et. al. | arxiv-cs.CV | 2023-08-01 |
377 | A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning methods have achieved an excellent performance in medical image segmentation. However, the practical application of deep learning-based segmentation models is … |
Qiao Lin; Xin Chen; Chao Chen; J. Garibaldi; | IEEE Transactions on Fuzzy Systems | 2023-08-01 |
378 | Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this success is hard to replicate in 3D scenarios due to the scarcity of 3D-text pairs. To address this challenge, we propose to harness pre-trained vision-language (VL) foundation models that encode extensive knowledge from image-text pairs to generate captions for multi-view images of 3D scenes. |
RUNYU DING et. al. | arxiv-cs.CV | 2023-08-01 |
379 | MonoNext: A 3D Monocular Object Detection with ConvNext Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a different Multi-Tasking Learning approach called MonoNext that utilizes a spatial grid to map objects in the scene. |
Marcelo Eduardo Pederiva; José Mario De Martino; Alessandro Zimmer; | arxiv-cs.CV | 2023-08-01 |
380 | LMNS-Net: Lightweight Multiscale Novel Semantic-Net Deep Learning Approach Used for Automatic Pancreas Image Segmentation in CT Scan Images Related Papers Related Patents Related Grants Related Venues Related Experts View |
Pradip M. Paithane; S. Kakarwal; | Expert Syst. Appl. | 2023-08-01 |
381 | Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: More specifically, in this work, we compare different fusion approaches by combining RGB and NDVI as inputs for crop row detection, which can be useful in autonomous robots operating in the field. |
NUNO CUNHA et. al. | arxiv-cs.CV | 2023-07-31 |
382 | Audio-Visual Segmentation By Exploring Cross-Modal Mutual Semantics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an audio-visual instance-aware segmentation approach to overcome the dataset bias. |
CHEN LIU et. al. | arxiv-cs.SD | 2023-07-31 |
383 | Transferable Attack for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Secondly, stabilized optimization strategies are needed to find the optimal attack direction. Based on the above observations, we propose an ensemble attack for semantic segmentation to achieve more effective attacks with higher transferability. |
MENGQI HE et. al. | arxiv-cs.CV | 2023-07-31 |
384 | Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes practical guidelines for obtaining an optimal atrous rate. |
Bum Jun Kim; Hyeyeon Choi; Hyeonah Jang; Sang Woo Kim; | arxiv-cs.CV | 2023-07-26 |
385 | Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing FSS techniques heavily rely on annotated semantic classes, rendering them unsuitable for medical images due to the scarcity of annotations. To address this challenge, multiple contributions are proposed: First, inspired by spectral decomposition methods, the problem of image decomposition is reframed as a graph partitioning task. |
Sanaz Karimijafarbigloo; Reza Azad; Dorit Merhof; | arxiv-cs.CV | 2023-07-26 |
386 | Optical Flow Boosts Unsupervised Localization and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we leverage motion cues, inspired by the common fate principle that pixels that share similar movements tend to belong to the same object. |
Xinyu Zhang; Abdeslam Boularias; | arxiv-cs.CV | 2023-07-25 |
387 | Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and Other Models in Keras IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a comprehensive library for semantic segmentation, which contains implementations of popular segmentation models like SegNet, FCN, UNet, and PSPNet. |
Divam Gupta; | arxiv-cs.CV | 2023-07-24 |
388 | SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: More importantly, these formulations were also constrained to either point-based or global contexts, lacking contextual understanding or local fine-grained details, respectively–both critical for accurate segmentation. To remedy this, we propose a novel approach, SwIPE (Segmentation with Implicit Patch Embeddings), that leverages the advantages of INRs and predicts shapes at the patch level–rather than at the point level or image level–to enable both accurate local boundary delineation and global shape coherence. |
Yejia Zhang; Pengfei Gu; Nishchal Sapkota; Danny Z. Chen; | arxiv-cs.CV | 2023-07-23 |
389 | Morphology-inspired Unsupervised Gland Segmentation Via Selective Semantic Grouping Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel Morphology-inspired method via Selective Semantic Grouping. |
Qixiang Zhang; Yi Li; Cheng Xue; Xiaomeng Li; | arxiv-cs.CV | 2023-07-22 |
390 | Label Calibration for Semantic Segmentation Under Domain Shift Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show a pre-trained model can be adapted to unlabelled target domain data by calculating soft-label prototypes under the domain shift and making predictions according to the prototype closest to the vector with predicted class probabilities. |
Ondrej Bohdal; Da Li; Timothy Hospedales; | arxiv-cs.CV | 2023-07-20 |
391 | 3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the problem of moving object segmentation from 3D LiDAR scans to improve the odometry and loop-closure accuracy of SLAM. |
QIPENG LI et. al. | arxiv-cs.RO | 2023-07-18 |
392 | CG-fusion CAM: Online Segmentation of Laser-induced Damage on Large-aperture Optics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: LayerCAM, an advanced weakly supervised semantic segmentation algorithm, can generate pixel-accurate results using only image-level labels, but its scattered and partially under-activated class activation regions degrade segmentation performance. In this paper, we propose a weakly supervised semantic segmentation method with Continuous Gradient CAM and its nonlinear multi-scale fusion (CG-fusion CAM). |
YUEYUE HAN et. al. | arxiv-cs.CV | 2023-07-18 |
393 | A Nested U-Structure for Instrument Segmentation in Robotic Surgery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, pixel-wise instrument segmentation is investigated. |
Yanjie Xia; Shaochen Wang; Zhen Kan; | arxiv-cs.RO | 2023-07-17 |
394 | On Point Affiliation in Feature Upsampling Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce the notion of point affiliation into feature upsampling. |
Wenze Liu; Hao Lu; Yuliang Liu; Zhiguo Cao; | arxiv-cs.CV | 2023-07-16 |
395 | Multi-Object Discovery By Low-Dimensional Object Motion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to model pixel-wise geometry and object motion to remove ambiguity in reconstructing flow from a single image. |
Sadra Safadoust; Fatma Güney; | arxiv-cs.CV | 2023-07-16 |
396 | PSGformer: Enhancing 3D Point Cloud Instance Segmentation Via Precise Semantic Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: They fail to fully leverage global and local semantic information for accurate prediction, which hampers the overall performance of the 3D instance segmentation framework. To address these issues, this paper presents PSGformer, a novel 3D instance segmentation network. |
Lei Pan; Wuyang Luan; Yuan Zheng; Qiang Fu; Junhui Li; | arxiv-cs.CV | 2023-07-15 |
397 | Automatic Generation of Semantic Parts for Face Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we describe a network architecture to address the problem of automatically manipulating or generating the shape of object classes in semantic segmentation masks, with specific focus on human faces. |
Tomaso Fontanini; Claudio Ferrari; Massimo Bertozzi; Andrea Prati; | arxiv-cs.CV | 2023-07-11 |
398 | Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: we propose the first test-time adaptation (TTA) framework, dubbed Night-TTA, to address the problems for nighttime RGBT semantic segmentation without access to the source (daytime) data during adaptation. |
YEXIN LIU et. al. | arxiv-cs.CV | 2023-07-10 |
399 | Semantic-SAM: Segment and Recognize Anything at Any Granularity IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce Semantic-SAM, a universal image segmentation model to enable segment and recognize anything at any desired granularity. |
FENG LI et. al. | arxiv-cs.CV | 2023-07-10 |
400 | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird’s Eye View Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose to use parametric depth distribution modeling for feature transformation. |
Jiayu Yang; Enze Xie; Miaomiao Liu; Jose M. Alvarez; | arxiv-cs.CV | 2023-07-09 |
401 | VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Video-grounded Scene&Topic AwaRe dialogue (VSTAR) dataset, a large scale video-grounded dialogue understanding dataset based on 395 TV series. |
YUXUAN WANG et. al. | acl | 2023-07-08 |
402 | Spherical Feature Pyramid Networks For Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the success of feature pyramid networks (FPNs) in planar image segmentation, we leverage the pyramidal hierarchy of graph-based spherical CNNs to design spherical FPNs. |
Thomas Walker; Varun Anand; Pavlos Andreadis; | arxiv-cs.CV | 2023-07-05 |
403 | Prompting Diffusion Representations for Cross-Domain Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a scene prompt and a prompt randomization strategy to help further disentangle the domain-invariant information when training the segmentation head. |
Rui Gong; Martin Danelljan; Han Sun; Julio Delgado Mangas; Luc Van Gool; | arxiv-cs.CV | 2023-07-05 |
404 | Multi-Modal Prototypes for Open-Set Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we define a unified setting termed as open-set semantic segmentation (O3S), which aims to learn seen and unseen semantics from both visual examples and textual names. |
Yuhuan Yang; Chaofan Ma; Chen Ju; Ya Zhang; Yanfeng Wang; | arxiv-cs.CV | 2023-07-04 |
405 | Segment Anything Meets Point Tracking IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents SAM-PT, a novel method for point-centric interactive video segmentation, empowered by SAM and long-term point tracking. |
FRANO RAJIČ et. al. | arxiv-cs.CV | 2023-07-03 |
406 | DifFSS: Diffusion Model for Few-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents the first work to leverage the diffusion model for FSS task, called DifFSS. |
Weimin Tan; Siyuan Chen; Bo Yan; | arxiv-cs.CV | 2023-07-03 |
407 | MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recently, transformers have gained enough momentum both in NLP and computer vision fields, achieving performance at least on par with CNN models, supporting the long-sought architecture universalism. Following this trend, we propose a transformer-based method for semantic segmentation of 3D mesh motivated by a better modeling of the graph structure of meshes, by means of global attention mechanisms. |
GIUSEPPE VECCHIO et. al. | arxiv-cs.CV | 2023-07-03 |
408 | Hierarchical Open-vocabulary Universal Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a decoupled text-image fusion mechanism and representation learning modules for both things and stuff. |
XUDONG WANG et. al. | arxiv-cs.CV | 2023-07-03 |
409 | RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents the RefSAM model, which explores the potential of SAM for RVOS by incorporating multi-view information from diverse modalities and successive frames at different timestamps in an online manner. |
Yonglin Li; Jing Zhang; Xiao Teng; Long Lan; | arxiv-cs.CV | 2023-07-03 |
410 | CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation Via Backpropagating Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an interactive segmentation method that allows users to refine the output of deep neural networks through click-type user interactions. |
Seonghui Min; Won-Ki Jeong; | arxiv-cs.CV | 2023-07-03 |
411 | Cross-Modal Recurrent Semantic Comprehension for Referring Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Referring image segmentation aims to segment the target object from the image according to the description of language expression. Due to the diversity of language expressions, … |
CHAO SHANG et. al. | IEEE Transactions on Circuits and Systems for Video … | 2023-07-01 |
412 | Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Content-enhanced Mask TransFormer (CMFormer) for domain-generalized USSS. |
Qi Bi; Shaodi You; Theo Gevers; | arxiv-cs.CV | 2023-07-01 |
413 | Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce SPADA, a framework for fuel map delineation that addresses the challenges associated with LC segmentation using sparse annotations and domain adaptation techniques for semantic segmentation. |
Marco Galatola; Edoardo Arnaudo; Luca Barco; Claudio Rossi; Fabrizio Dominici; | arxiv-cs.CV | 2023-06-28 |
414 | SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a CLIP-based model named SegCLIP for the topic of open-vocabulary segmentation in an annotation-free manner. |
Huaishao Luo; Junwei Bao; Youzheng Wu; Xiaodong He; Tianrui Li; | icml | 2023-06-27 |
415 | GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: It introduces a feature adaptation bias when applied to semantic segmentation tasks that require pixel-level or object-level features. In this study, We observed that the discrimination information can be mapped to specific regions in RSI through the gradient of unsupervised contrastive loss, these specific regions tend to contain singular ground objects. |
ZHAOYANG ZHANG et. al. | arxiv-cs.LG | 2023-06-27 |
416 | Semantic Segmentation Using Super Resolution Technique As Pre-Processing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work integrates the technique of image super resolution to semantic segmentation for document image binarization. |
Chih-Chia Chen; Wei-Han Chen; Jen-Shiun Chiang; Chun-Tse Chien; Tingkai Chang; | arxiv-cs.CV | 2023-06-27 |
417 | Open-Vocabulary Universal Image Segmentation with MaskCLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle an emerging computer vision task, open-vocabulary universal image segmentation, that aims to perform semantic/instance/panoptic segmentation (background semantic labeling + foreground instance segmentation) for arbitrary categories of text-based descriptions in inference time. |
Zheng Ding; Jieke Wang; Zhuowen Tu; | icml | 2023-06-27 |
418 | SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to solve outdoor SSC from the perspective of representation separation and BEV fusion. |
JIANBIAO MEI et. al. | arxiv-cs.CV | 2023-06-27 |
419 | Global Context Vision Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose global context vision transformer (GC ViT), a novel architecture that enhances parameter and compute utilization for computer vision. |
Ali Hatamizadeh; Hongxu Yin; Greg Heinrich; Jan Kautz; Pavlo Molchanov; | icml | 2023-06-27 |
420 | CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion By Dense Feature Fusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion. |
JINFENG XU et. al. | aaai | 2023-06-26 |
421 | Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper systematically studies the impact of mixup under the domain adaptive semantic segmentation task and presents a simple yet effective mixup strategy called Bidirectional Domain Mixup (BDM). |
DAEHAN KIM et. al. | aaai | 2023-06-26 |
422 | Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore a self-supervised vision transformer to mitigate the heavy efforts on generation of pixel-level annotations. |
Sangtae Kim; Daeyoung Park; Byonghyo Shim; | aaai | 2023-06-26 |
423 | Geometry-Aware Network for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Geometry-Aware Network for Domain Adaptation (GANDA), leveraging more compact 3D geometric point cloud representations to shrink the domain gaps. |
YINGHONG LIAO et. al. | aaai | 2023-06-26 |
424 | CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing algorithms of multi-organ segmentation on partially-labeled datasets neglect the semantic relations and anatomical priors between different categories of organs, which is crucial for partially-labeled multi-organ segmentation. In this paper, we tackle the limitations above by proposing the Cross-Class Query Network (CCQ). |
Xuyang Liu; Bingbing Wen; Sibei Yang; | aaai | 2023-06-26 |
425 | Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we try to find a domain-robust clue to construct more reliable supervision signals. |
Yuan Gao; Zilei Wang; Jiafan Zhuang; Yixin Zhang; Junjie Li; | aaai | 2023-06-26 |
426 | Learning Context-Aware Classifier for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Different from the mainstream literature where the efficacy of strong backbones and effective decoder heads has been well studied, in this paper, additional contextual hints are instead exploited via learning a context-aware classifier whose content is data-conditioned, decently adapting to different latent distributions. |
ZHUOTAO TIAN et. al. | aaai | 2023-06-26 |
427 | Video Object of Interest Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a new computer vision task named video object of interest segmentation (VOIS). |
SIYUAN ZHOU et. al. | aaai | 2023-06-26 |
428 | Towards Global Video Scene Segmentation with Context-Aware Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce a novel Context-Aware Transformer (CAT) with a self-supervised learning framework to learn high-quality shot representations, for generating well-bounded scenes. |
Yang Yang; Yurui Huang; Weili Guo; Baohua Xu; Dingyin Xia; | aaai | 2023-06-26 |
429 | Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The scribble-supervised semantic segmentation is an important yet challenging task in the field of computer vision. To deal with the pixel-wise sparse annotation problem, we propose a Progressive Bayesian Inference (PBI) framework to boost the performance of the scribble-supervised semantic segmentation, which can effectively infer the semantic distribution of these unlabeled pixels to guide the optimization of the segmentation network. |
Chuanwei Zhou; Chunyan Xu; Zhen Cui; | aaai | 2023-06-26 |
430 | Progressive Neighborhood Aggregation for Semantic Segmentation Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate a progressive neighborhood aggregation (PNA) framework to refine the semantic segmentation prediction, resulting in an end-to-end solution that can perform the coarse prediction and refinement in a unified network. |
Ting Liu; Yunchao Wei; Yanning Zhang; | aaai | 2023-06-26 |
431 | Few-Shot 3D Point Cloud Semantic Segmentation Via Stratified Class-Specific Attention Based Transformer Network Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we further address these problems by developing a new multi-layer transformer network for few-shot point cloud semantic segmentation. |
Canyu Zhang; Zhenyao Wu; Xinyi Wu; Ziyu Zhao; Song Wang; | aaai | 2023-06-26 |
432 | Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the critical properties from the view of feature alignments and feature uniformity for UISS models. |
DAOAN ZHANG et. al. | aaai | 2023-06-26 |
433 | Superpoint Transformer for 3D Scene Instance Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, these non-straightforward methods suffer from two drawbacks: 1) Imprecise bounding boxes or unsatisfactory semantic predictions limit the performance of the overall 3D instance segmentation framework. 2) Existing method requires a time-consuming intermediate step of aggregation. To address these issues, this paper proposes a novel end-to-end 3D instance segmentation method based on Superpoint Transformer, named as SPFormer. |
Jiahao Sun; Chunmei Qing; Junpeng Tan; Xiangmin Xu; | aaai | 2023-06-26 |
434 | Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose two new methods, first to improve the performance, and second to improve the robustness of panoptic segmentation in nighttime or poor illumination urban driving scenes using a domain translation approach. |
Ankur Chrungoo; | arxiv-cs.CV | 2023-06-23 |
435 | OpenMask3D: Open-Vocabulary 3D Instance Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While such a representation can be directly employed to perform semantic segmentation, existing methods cannot separate multiple object instances. In this work, we address this limitation, and propose OpenMask3D, which is a zero-shot approach for open-vocabulary 3D instance segmentation. |
AYÇA TAKMAZ et. al. | arxiv-cs.CV | 2023-06-23 |
436 | 3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel adaptation method for transferring SAM from 2D to 3D for promptable medical image segmentation. |
SHIZHAN GONG et. al. | arxiv-cs.CV | 2023-06-23 |
437 | Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We show that attacking segmentation models presents task-specific challenges, for which we propose novel solutions. |
Francesco Croce; Naman D Singh; Matthias Hein; | arxiv-cs.CV | 2023-06-22 |
438 | Using Super-resolution for Enhancing Visual Perception and Segmentation Performance in Veterinary Cytology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures. |
JAKUB CAPUTA et. al. | arxiv-cs.CV | 2023-06-20 |
439 | Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a generative model to synthesize features for unseen categories, which links semantic and visual spaces as well as addresses the issue of lack of unseen training data. |
Shuting He; Henghui Ding; Wei Jiang; | arxiv-cs.CV | 2023-06-19 |
440 | Neural Network-based Fast Liver Ultrasound Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ultrasound is quite popular among the clinicians’ fraternity, because the machine is cheap, easy to use, and mobile. However, the image is not that easy to study properly, if the … |
Mohammed Yusuf Ansari; Iffa Afsa Changaai Mangalote; Dima Masri; S. Dakua; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
441 | Benchmarking Deep Learning Architectures for Urban Vegetation Points Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, selection of a deep learning model for vegetation points segmentation is ambiguous. To address this problem, we provide a comprehensive assessment of point-based deep learning models for semantic segmentation of vegetation class. |
Aditya Aditya; Bharat Lohani; Jagannath Aryal; Stephan Winter; | arxiv-cs.CV | 2023-06-17 |
442 | PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This divide-and-conquer strategy simplifies the algorithm development procedure at the cost of losing an end-to-end unified solution to the problem. In this work, we address this limitation by studying camera-based 3D panoptic segmentation, aiming to achieve a unified occupancy representation for camera-only 3D scene understanding. |
Yuqi Wang; Yuntao Chen; Xingyu Liao; Lue Fan; Zhaoxiang Zhang; | arxiv-cs.CV | 2023-06-16 |
443 | Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds Via Signature Shape Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose SCENE-Net, a low-resource white-box model for 3D point cloud semantic segmentation. |
DIOGO LAVADO et. al. | arxiv-cs.CV | 2023-06-13 |
444 | Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a robust approach for joint part and object segmentation. |
Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan Yuille; | arxiv-cs.CV | 2023-06-12 |
445 | 3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution. |
Jinming Su; Wangwang Yang; Junfeng Luo; Xiaolin Wei; | arxiv-cs.CV | 2023-06-11 |
446 | VPUFormer: Visual Prompt Unified Transformer for Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a simple yet effective Visual Prompt Unified Transformer (VPUFormer), which introduces a concise unified prompt representation with deeper interaction to boost the segmentation performance. |
XU ZHANG et. al. | arxiv-cs.CV | 2023-06-11 |
447 | AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Aerial Image Segmentation is a top-down perspective semantic segmentation and has several challenging characteristics such as strong imbalance in the foreground-background distribution, complex background, intra-class heterogeneity, inter-class homogeneity, and tiny objects. To handle these problems, we inherit the advantages of Transformers and propose AerialFormer, which unifies Transformers at the contracting path with lightweight Multi-Dilated Convolutional Neural Networks (MD-CNNs) at the expanding path. |
KASHU YAMAZAKI et. al. | arxiv-cs.CV | 2023-06-11 |
448 | Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Observing that conditional diffusion models (CDM) is capable of generating images subject to specific distributions, in this work, we utilize category-aware semantic information underlied in CDM to get the prediction mask of the target object with only image-level annotations. |
Xinrong Hu; Yu-Jen Chen; Tsung-Yi Ho; Yiyu Shi; | arxiv-cs.CV | 2023-06-06 |
449 | DFormer: Diffusion-guided Transformer for Universal Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces an approach, named DFormer, for universal image segmentation. |
HEFENG WANG et. al. | arxiv-cs.CV | 2023-06-06 |
450 | SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To be more robust to 3D disturbance, we propose our Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation (SGAT4PASS), considering 3D spherical geometry knowledge. |
XUEWEI LI et. al. | arxiv-cs.CV | 2023-06-06 |
451 | Semantic Segmentation on VSPW Dataset Through Contrastive Loss and Multi-dataset Training Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the winning solution of the CVPR2023 workshop for video semantic segmentation, focusing on enhancing Spatial-Temporal correlations with contrastive loss. |
Min Yan; Qianxiong Ning; Qian Wang; | arxiv-cs.CV | 2023-06-06 |
452 | Cross-CBAM: A Lightweight Network for Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the Cross-CBAM network, a novel lightweight network for real-time semantic segmentation. |
Zhengbin Zhang; Zhenhao Xu; Xingsheng Gu; Juan Xiong; | arxiv-cs.CV | 2023-06-04 |
453 | 3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce 3rd place solution for PVUW2023 VSS track. |
SHIJIE CHANG et. al. | arxiv-cs.CV | 2023-06-04 |
454 | Segment Anything Meets Semantic Communication Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By employing SAM’s segmentation capability and lightweight neural network architecture for semantic coding, we propose a practical approach to semantic communication. |
Shehbaz Tariq; Brian Estadimas Arfeto; Chaoning Zhang; Hyundong Shin; | arxiv-cs.CV | 2023-06-03 |
455 | Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that improves the computational efficiency of semantic segmentation networks that use Vision Transformers (ViTs). |
Chenyang Lu; Daan de Geus; Gijs Dubbelman; | arxiv-cs.CV | 2023-06-03 |
456 | Denoising Diffusion Semantic Segmentation with Mask Prior Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to ameliorate the semantic segmentation quality of existing discriminative approaches with a mask prior modeled by a recently-developed denoising diffusion generative model. |
ZEQIANG LAI et. al. | arxiv-cs.CV | 2023-06-02 |
457 | Exploring Open-Vocabulary Semantic Segmentation Without Human Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing approaches often rely on expensive human annotations as supervision for model training, limiting their scalability to large, unlabeled datasets. To address this challenge, we present ZeroSeg, a novel method that leverages the existing pretrained vision-language (VL) model (e.g. CLIP) to train open-vocabulary zero-shot semantic segmentation models. |
JUN CHEN et. al. | arxiv-cs.CV | 2023-06-01 |
458 | Generated Pseudo-Labels Guided By Background Skeletons for Overcoming Under-Segmentation in Overlapping Particle Objects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unlike general image segmentation, highly complex particle images have significant challenges in labeling and segmentation due to the information occlusion and texture … |
JINSHI LIU et. al. | IEEE Transactions on Circuits and Systems for Video … | 2023-06-01 |
459 | DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a modified binary tree sampling method to generate shift-scale data, serving as inputs for transformer-based deep learning networks, a shift-scale attention with 3-Dimension relative position embedding to learn features across scales, and an embedding to fuse learned features with hand-crafted features. |
XIANWEI LV et. al. | arxiv-cs.CV | 2023-05-31 |
460 | SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents SSSegmenation, which is an open source supervised semantic image segmentation toolbox based on PyTorch. |
Zhenchao Jin; | arxiv-cs.CV | 2023-05-26 |
461 | Condition-Invariant Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, previous work has shown that most feature-level adaptation methods, which employ adversarial training and are validated on synthetic-to-real adaptation, provide marginal gains in condition-level adaptation, being outperformed by simple pixel-level adaptation via stylization. Motivated by these findings, we propose to leverage stylization in performing feature-level adaptation by aligning the internal network features extracted by the encoder of the network from the original and the stylized view of each input image with a novel feature invariance loss. |
Christos Sakaridis; David Bruggemann; Fisher Yu; Luc Van Gool; | arxiv-cs.CV | 2023-05-26 |
462 | PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present the first attempt to improve the robustness of semantic segmentation tasks by simultaneously handling different types of degradation factors. |
XIANGHAO JIAO et. al. | arxiv-cs.CV | 2023-05-25 |
463 | Semantic Segmentation By Semantic Proportions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach for semantic segmentation by eliminating the need of ground-truth segmentation maps. |
Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett; | arxiv-cs.CV | 2023-05-24 |
464 | Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the challenging task of few-shot and zero-shot 3D point cloud semantic segmentation. |
Shuting He; Xudong Jiang; Wei Jiang; Henghui Ding; | arxiv-cs.CV | 2023-05-23 |
465 | Mixup-Privacy: A Simple Yet Effective Approach for Privacy-preserving Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose a client-server image segmentation system which allows for the analysis of multi-centric medical images while preserving patient privacy. |
Bach Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers; | arxiv-cs.CV | 2023-05-23 |
466 | VDD: Varied Drone Dataset for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We have developed a novel DeepLabT model, which combines CNN and Transformer backbones, to provide a reliable baseline for semantic segmentation in drone imagery. |
WENXIAO CAI et. al. | arxiv-cs.CV | 2023-05-22 |
467 | Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce an uncertainty-based approach for the detection of adversarial attacks in semantic segmentation. |
Kira Maag; Asja Fischer; | arxiv-cs.CV | 2023-05-22 |
468 | Semantic-guided Spatial Relation and Object Co-occurrence Modeling for Indoor Scene Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: 2) These methods often overlook the differences in coexisting objects across different scenes, suppressing scene recognition performance. To address these limitations, we propose SpaCoNet, which simultaneously models the Spatial relation and Co-occurrence of objects based on semantic segmentation. |
Chuanxin Song; Hanbo Wu; Xin Ma; Yibin Li; | arxiv-cs.CV | 2023-05-21 |
469 | UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation Via Segment Anything Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel paradigm called UVOSAM, which leverages SAM for unsupervised video object segmentation without requiring video mask labels. |
Zhenghao Zhang; Zhichao Wei; Shengfan Zhang; Zuozhuo Dai; Siyu Zhu; | arxiv-cs.CV | 2023-05-21 |
470 | VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Visual-Language Fields (VL-Fields), a neural implicit spatial representation that enables open-vocabulary semantic queries. |
Nikolaos Tsagkas; Oisin Mac Aodha; Chris Xiaoxuan Lu; | arxiv-cs.CV | 2023-05-21 |
471 | CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve effective and efficient fine-grained feature alignment in the RIS task, we explore the potential of masked multimodal modeling coupled with self-distillation and propose a novel cross-modality masked self-distillation framework named CM-MaskSD, in which our method inherits the transferred knowledge of image-text semantic alignment from CLIP model to realize fine-grained patch-word feature alignment for better segmentation accuracy. |
WENXUAN WANG et. al. | arxiv-cs.CV | 2023-05-19 |
472 | Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a domain adaptive Sim-to-Real framework called IoU-Ranking Blend-ArtFlow (IRB-AF) for image segmentation of oropharyngeal organs. |
Guankun Wang; Tian-Ao Ren; Jiewen Lai; Long Bai; Hongliang Ren; | arxiv-cs.AI | 2023-05-18 |
473 | Advancing Incremental Few-shot Semantic Segmentation Via Semantic-guided Relation Alignment and Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This task faces a severe semantic-aliasing issue between base and novel classes due to data imbalance, which makes segmentation results unsatisfactory. To alleviate this issue, we propose the Semantic-guided Relation Alignment and Adaptation (SRAA) method that fully considers the guidance of prior semantic information. |
YUAN ZHOU et. al. | arxiv-cs.CV | 2023-05-18 |
474 | SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose SDC-UDA, a simple yet effective volumetric UDA framework for slice-direction continuous cross-modality medical image segmentation which combines intra- and inter-slice self-attentive image translation, uncertainty-constrained pseudo-label refinement, and volumetric self-training. |
HYUNGSEOB SHIN et. al. | arxiv-cs.CV | 2023-05-18 |
475 | SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new localization framework, SegLoc, that leverages image segmentation to create robust, compact, and privacy-preserving scene representations, i.e., 3D maps. |
Maxime Pietrantoni; Martin Humenberger; Torsten Sattler; Gabriela Csurka; | cvpr | 2023-05-17 |
476 | A Simple Framework for Text-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper shows that a vanilla contrastive language-image pre-training (CLIP) model is an effective text-supervised semantic segmentor by itself. |
MUYANG YI et. al. | cvpr | 2023-05-17 |
477 | Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel and data-efficient framework for WILSS, named FMWISS. |
CHAOHUI YU et. al. | cvpr | 2023-05-17 |
478 | Interactive Segmentation of Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the ISRF method to interactively segment objects with fine structure and appearance. |
Rahul Goel; Dhawal Sirikonda; Saurabh Saini; P. J. Narayanan; | cvpr | 2023-05-17 |
479 | Novel Class Discovery for 3D Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper is presented to advance the state of the art on point cloud data analysis in four directions. |
Luigi Riz; Cristiano Saltori; Elisa Ricci; Fabio Poiesi; | cvpr | 2023-05-17 |
480 | Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel network called LF-IENet for light field semantic segmentation. |
RUIXUAN CONG et. al. | cvpr | 2023-05-17 |
481 | Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Most research has focused on improving segmentation performance for sharp clean images and the few works that deal with degradations, consider motion-blur as one of many generic degradations. In this work, we focus exclusively on motion-blur and attempt to achieve robustness for semantic segmentation in its presence. |
A. N. Rajagopalan; | cvpr | 2023-05-17 |
482 | Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Patch Aligned Contrastive Learning (PACL), a modified compatibility function for CLIP’s contrastive loss, intending to train an alignment between the patch tokens of the vision encoder and the CLS token of the text encoder. |
JISHNU MUKHOTI et. al. | cvpr | 2023-05-17 |
483 | PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In classic radar signal processing, the object signature is detected according to a local peak response, i.e., CFAR detection. Inspired by this idea, we redefine the receptive field of the convolution operation as the peak receptive field (PRF) and propose the peak convolution operation (PeakConv) to learn the object signatures in an end-to-end network. |
LIWEN ZHANG et. al. | cvpr | 2023-05-17 |
484 | Hierarchical Dense Correlation Distillation for Few-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we design Hierarchically Decoupled Matching Network (HDMNet) mining pixel-level support correlation based on the transformer architecture. |
BOHAO PENG et. al. | cvpr | 2023-05-17 |
485 | Unsupervised Continual Semantic Adaptation Through Neural Rendering Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study continual multi-scene adaptation for the task of semantic segmentation, assuming that no ground-truth labels are available during deployment and that performance on the previous scenes should be maintained. |
ZHIZHENG LIU et. al. | cvpr | 2023-05-17 |
486 | UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer Via Hierarchical Mask Calibration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We design UniDAformer, a unified domain adaptive panoptic segmentation transformer that is simple but can achieve domain adaptive instance segmentation and semantic segmentation simultaneously within a single network. |
Jingyi Zhang; Jiaxing Huang; Xiaoqin Zhang; Shijian Lu; | cvpr | 2023-05-17 |
487 | ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate the pixel-level semantic aggregation in self-supervised ViT pre-trained models as image Segmentation and propose the Adaptive Conceptualization approach for USS, termed ACSeg. |
KEHAN LI et. al. | cvpr | 2023-05-17 |
488 | VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address semantic segmentation of a typical VG, i.e., roughcast floorplans with bare wall structures, whose output can be directly used for further applications like interior furnishing and room space modeling. |
Bingchen Yang; Haiyong Jiang; Hao Pan; Jun Xiao; | cvpr | 2023-05-17 |
489 | Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we proposed a novel Text-grounded Contrastive Learning (TCL) framework that enables a model to directly learn region-text alignment. |
Junbum Cha; Jonghwan Mun; Byungseok Roh; | cvpr | 2023-05-17 |
490 | SCPNet: Semantic Scene Completion on Point Cloud IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the above-mentioned problems, we propose the following three solutions: 1) Redesigning the completion network. |
ZHAOYANG XIA et. al. | cvpr | 2023-05-17 |
491 | Network-Free, Unsupervised Semantic Segmentation With Synthetic Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We derive a method that yields highly accurate semantic segmentation maps without the use of any additional neural network, layers, manually annotated training data, or supervised training. |
Qianli Feng; Raghudeep Gadde; Wentong Liao; Eduard Ramon; Aleix Martinez; | cvpr | 2023-05-17 |
492 | Generalized Decoding for Pixel, Image, and Language IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present X-Decoder, a generalized decoding model that can predict pixel-level segmentation and language tokens seamlessly. |
XUEYAN ZOU et. al. | cvpr | 2023-05-17 |
493 | Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we analyze existing training algorithms towards their flexibility for different annotation types and scalability to small annotation regimes. |
Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen; | cvpr | 2023-05-17 |
494 | Devil Is in The Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we adopt the concept of object queries in Mask transformers to formulate semantic segmentation as a soft cluster assignment. |
MINGZE YUAN et. al. | cvpr | 2023-05-17 |
495 | Delving Into Shape-Aware Zero-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, translating this success to semantic segmentation is not trivial, because this dense prediction task requires not only accurate semantic understanding but also fine shape delineation and existing vision-language models are trained with image-level language descriptions. To bridge this gap, we pursue shape-aware zero-shot semantic segmentation in this study. |
XINYU LIU et. al. | cvpr | 2023-05-17 |
496 | Mask DINO: Towards A Unified Transformer-Based Framework for Object Detection and Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we present Mask DINO, a unified object detection and segmentation framework. |
FENG LI et. al. | cvpr | 2023-05-17 |
497 | ALSO: Automotive Lidar Self-Supervision By Occupancy Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new self-supervised method for pre-training the backbone of deep perception models operating on point clouds. |
Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet; | cvpr | 2023-05-17 |
498 | CLIP2Scene: Towards Label-Efficient 3D Scene Understanding By CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose CLIP2Scene, a simple yet effective framework that transfers CLIP knowledge from 2D image-text pre-trained models to a 3D point cloud network. |
RUNNAN CHEN et. al. | cvpr | 2023-05-17 |
499 | Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panoptic segmentation. |
JIARUI XU et. al. | cvpr | 2023-05-17 |
500 | FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence in this paper, we propose FreeSeg, a generic framework to accomplish Unified, Universal and Open-Vocabulary Image Segmentation. |
JIE QIN et. al. | cvpr | 2023-05-17 |
501 | Mask3D: Pre-Training 2D Vision Transformers By Learning Masked 3D Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, to more effectively understand 3D structural priors in 2D backbones, we propose Mask3D to leverage existing large-scale RGB-D data in a self-supervised pre-training to embed these 3D priors into 2D learned feature representations. |
Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner; | cvpr | 2023-05-17 |
502 | CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present CLIP-S^4 that leverages self-supervised pixel representation learning and vision-language models to enable various semantic segmentation tasks (e.g., unsupervised, transfer learning, language-driven segmentation) without any human annotations and unknown class information. |
Wenbin He; Suphanut Jamonnak; Liang Gou; Liu Ren; | cvpr | 2023-05-17 |
503 | FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel Fairness Domain Adaptation (FREDOM) approach to semantic scene segmentation. |
Thanh-Dat Truong; Ngan Le; Bhiksha Raj; Jackson Cothren; Khoa Luu; | cvpr | 2023-05-17 |
504 | CoMFormer: Continual Learning in Semantic and Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first continual learning model capable of operating on both semantic and panoptic segmentation. |
Fabio Cermelli; Matthieu Cord; Arthur Douillard; | cvpr | 2023-05-17 |
505 | Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Nevertheless, the present focus in single RGBT image input restricts existing methods from well addressing dynamic real-world scenes. Motivated by the above observations, in this paper, we set out to address a relatively new task of semantic segmentation of multispectral video input, which we refer to as Multispectral Video Semantic Segmentation, or MVSS in short. |
WEI JI et. al. | cvpr | 2023-05-17 |
506 | OneFormer: One Transformer To Rule Universal Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that end, we propose OneFormer, a universal image segmentation framework that unifies segmentation with a multi-task train-once design. |
JITESH JAIN et. al. | cvpr | 2023-05-17 |
507 | IFSeg: Image-Free Semantic Segmentation Via Vision-Language Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel image-free segmentation task where the goal is to perform semantic segmentation given only a set of the target semantic categories, but without any task-specific images and annotations. |
Sukmin Yun; Seong Hyeon Park; Paul Hongsuck Seo; Jinwoo Shin; | cvpr | 2023-05-17 |
508 | Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a robust approach for joint part and object segmentation. |
Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan L. Yuille; | cvpr | 2023-05-17 |
509 | PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The patch-to-patch attention suffers from the quadratic complexity issue, and also makes it non-trivial to explain learned ViTs. To address these issues in ViT, this paper proposes to learn Patch-to-Cluster attention (PaCa) in ViT. |
RYAN GRAINGER et. al. | cvpr | 2023-05-17 |
510 | EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Equivariant Neural Field Expectation Maximization (EFEM), a simple, effective, and robust geometric algorithm that can segment objects in 3D scenes without annotations or training on scenes. |
Jiahui Lei; Congyue Deng; Karl Schmeckpeper; Leonidas Guibas; Kostas Daniilidis; | cvpr | 2023-05-17 |
511 | On Calibrating Semantic Segmentation Models: Analyses and An Algorithm Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We provide a systematic study on the calibration of semantic segmentation models and propose a simple yet effective approach. |
Dongdong Wang; Boqing Gong; Liqiang Wang; | cvpr | 2023-05-17 |
512 | Semi-Weakly Supervised Object Kinematic Motion Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the task of object kinematic motion prediction problem in a semi-weakly supervised manner. |
GENGXIN LIU et. al. | cvpr | 2023-05-17 |
513 | Bridging The Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, their potential to enrich 3D scene representation learning is largely untapped due to the existence of the domain gap. In this work, we propose an innovative methodology called Bridge3D to address this gap by pre-training 3D models using features, semantic masks, and captions sourced from foundation models. |
Zhimin Chen; Longlong Jing; Yingwei Li; Bing Li; | arxiv-cs.CV | 2023-05-15 |
514 | SRRM: Semantic Region Relation Model for Indoor Scene Recognition Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Semantic Region Relationship Model (SRRM), which starts directly from the semantic information inside the scene. |
Chuanxin Song; Xin Ma; | arxiv-cs.CV | 2023-05-15 |
515 | Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to learn pixel hardness for semantic segmentation, leveraging hardness information contained in global and historical loss values. |
Xin Xiao; Daiguo Zhou; Jiagao Hu; Yi Hu; Yongchao Xu; | arxiv-cs.CV | 2023-05-15 |
516 | Image Segmentation Via Probabilistic Graph Matching IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents an unsupervised and semi-automatic image segmentation approach where we formulate the segmentation as a inference problem based on unary and pairwise assignment probabilities computed using low-level image cues. |
Ayelet Heimowitz; Yosi Keller; | arxiv-cs.CV | 2023-05-13 |
517 | Unsupervised Domain Adaptation for Medical Image Segmentation Via Feature-space Density Matching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an unsupervised domain adaptation approach for semantic segmentation that alleviates the need for annotating target data. |
Tushar Kataria; Beatrice Knudsen; Shireen Elhabian; | arxiv-cs.CV | 2023-05-09 |
518 | Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although these pseudo-labels are class-aware, indicating the coarse regions for particular classes, they are not object-aware and fail to delineate accurate object boundaries. To address this, we introduce a simple yet effective method harnessing the Segment Anything Model (SAM), a class-agnostic foundation model capable of producing fine-grained instance masks of objects, parts, and subparts. |
Tianle Chen; Zheda Mai; Ruiwen Li; Wei-lun Chao; | arxiv-cs.CV | 2023-05-09 |
519 | OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, the concept of pruning from a supernet is used for the first time to integrate the selection of channel combination and the training of a semantic segmentation network. |
Yuanzhi Cai; Jagannath Aryal; Yuan Fang; Hong Huang; Lei Fan; | arxiv-cs.CV | 2023-05-08 |
520 | Semantic Segmentation Using Vision Transformers: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this survey, we discuss some of the different ViT architectures that can be used for semantic segmentation and how their evolution managed the above-stated challenge. |
HANS THISANKE et. al. | arxiv-cs.CV | 2023-05-05 |
521 | Asynchronous Events-based Panoptic Segmentation Using Graph Mixer Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, motion blur, and object size variability. In response to these challenges, we propose the Graph Mixer Neural Network that includes a novel collaborative contextual mixing layer, applied to 3D event graphs formed on asynchronous events. |
Sanket Kachole; Yusra Alkendi; Fariborz Baghaei Naeini; Dimitrios Makris; Yahya Zweiri; | arxiv-cs.CV | 2023-05-05 |
522 | Prompt What You Need: Enhancing Segmentation in Rainy Scenes with Anchor-based Prompting Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Semantic segmentation in rainy scenes is a challenging task due to the complex environment, class distribution imbalance, and limited annotated data. To address these challenges, we propose a novel framework that utilizes semi-supervised learning and pre-trained segmentation foundation model to achieve superior performance. |
Xiaoyu Guo; Xiang Wei; Qi Su; Huiqin Zhao; Shunli Zhang; | arxiv-cs.CV | 2023-05-05 |
523 | Point2Tree(P2T) — Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article introduces Point2Tree, a novel framework that incorporates a three-stage process involving semantic segmentation, instance segmentation, optimization analysis of hyperparemeters importance. |
Maciej Wielgosz; Stefano Puliti; Phil Wilkes; Rasmus Astrup; | arxiv-cs.CV | 2023-05-04 |
524 | Point2Tree(P2T) – Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Inthis study, we introduce Point2Tree, a modular and versatile framework that employs a three-tiered methodology, inclusive of semantic segmentation, instance segmentation, and … |
M. Wielgosz; S. Puliti; P. Wilkes; R. Astrup; | ArXiv | 2023-05-04 |
525 | Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success of the Segment Anything Model (SAM) demonstrates the significance of data-centric machine learning. However, due to the difficulties and high costs associated with … |
Di Wang; Jing Zhang; Bo Du; Dacheng Tao; L. Zhang; | ArXiv | 2023-05-03 |
526 | RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we revisit the recently introduced K-Net architecture. |
Markus Schön; Michael Buchholz; Klaus Dietmayer; | arxiv-cs.CV | 2023-05-02 |
527 | Semantic Segmentation Guided Pseudo Label Mining and Instance Re-detection for Weakly Supervised Object Detection in Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xiaoliang Qian; C. Li; Wei Wang; Xiwen Yao; Gong Cheng; | Int. J. Appl. Earth Obs. Geoinformation | 2023-05-01 |
528 | CLIP-S$^4$: Language-Guided Self-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present CLIP-S$^4$ that leverages self-supervised pixel representation learning and vision-language models to enable various semantic segmentation tasks (e.g., unsupervised, transfer learning, language-driven segmentation) without any human annotations and unknown class information. |
Wenbin He; Suphanut Jamonnak; Liang Gou; Liu Ren; | arxiv-cs.CV | 2023-05-01 |
529 | NMNet: Learning Multi-level Semantic Information from Scale Extension Domain for Improved Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
E. Song; Bangcheng Zhan; Hong Liu; Coskun Cetinkaya; C. Hung; | Biomed. Signal Process. Control. | 2023-05-01 |
530 | Embedded Control Gate Fusion and Attention Residual Learning for RGB–Thermal Urban Scene Parsing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of road scenes is an important task in autonomous driving. Deep learning has enabled the development of a variety of semantic segmentation networks using … |
Wujie Zhou; Ying Lv; Jingsheng Lei; Lu Yu; | IEEE Transactions on Intelligent Transportation Systems | 2023-05-01 |
531 | NeiEA-NET: Semantic Segmentation of Large-scale Point Cloud Scene Via Neighbor Enhancement and Aggregation Related Papers Related Patents Related Grants Related Venues Related Experts View |
YONGYANG XU et. al. | Int. J. Appl. Earth Obs. Geoinformation | 2023-05-01 |
532 | Class-Aware Contextual Information for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a CACINet, which consists of a Semantic Affinity Module (SAM) and a Class Association Module (CAM), to generate class-aware contextual information among pixels on a fine-grained level. |
H. Tang; Y. Zhao; Y. Jiang; Z. Gan; Q. Wu; | icassp | 2023-04-27 |
533 | Human Semantic Segmentation Using Millimeter-Wave Radar Sparse Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a framework for semantic segmentation on sparse sequential point clouds of millimeter-wave radar. |
Pengfei Song; Luoyu Mei; Han Cheng; | arxiv-cs.CV | 2023-04-27 |
534 | Robust Video Object Segmentation with Restricted Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the Robust Video Object Segmentation With Restricted Attention (RVOSR), which can suppress the effects caused by similar objects and filter out noise confusion from other irrelevant regions. |
H. Zhang; P. Guo; Z. Le; W. Zhang; | icassp | 2023-04-27 |
535 | A Review of Panoptic Segmentation for Mobile Mapping Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The present paper tries to close that gap. |
Binbin Xiang; Yuanwen Yue; Torben Peters; Konrad Schindler; | arxiv-cs.CV | 2023-04-27 |
536 | Spatial Correlation Fusion Network for Few-Shot Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a Spatial Correlation Fusion Network(SCFNet) for few-shot segmentation to address the issues. |
X. Wang; W. Huang; W. Yang; Q. Liao; | icassp | 2023-04-27 |
537 | EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite being a crucial output of the perception stack, panoptic segmentation has been largely overlooked by the domain adaptation community. Therefore, we revisit well-performing domain adaptation strategies from other fields, adapt them to panoptic segmentation, and show that they can effectively enhance panoptic domain adaptation. |
Suman Saha; Lukas Hoyer; Anton Obukhov; Dengxin Dai; Luc Van Gool; | arxiv-cs.CV | 2023-04-27 |
538 | Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle online settings, we propose TransAdapt, a framework that uses transformer and input transformations to improve segmentation performance. |
D. DAS et. al. | icassp | 2023-04-27 |
539 | Customized Segment Anything Model for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SAMed, a general solution for medical image segmentation. |
Kaidong Zhang; Dong Liu; | arxiv-cs.CV | 2023-04-26 |
540 | FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Fourier Visual Prompting (FVP) for SFUDA of medical image segmentation. |
YAN WANG et. al. | arxiv-cs.CV | 2023-04-26 |
541 | Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, instead of fine-tuning the SAM model, we propose the Medical SAM Adapter (Med-SA), which incorporates domain-specific medical knowledge into the segmentation model using a light yet effective adaptation technique. |
JUNDE WU et. al. | arxiv-cs.CV | 2023-04-25 |
542 | Track Anything: Segment Anything Meets Videos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Regarding its strong ability on image segmentation and high interactivity with different prompts, we found that it performs poorly on consistent segmentation in videos. Therefore, in this report, we propose Track Anything Model (TAM), which achieves high-performance interactive tracking and segmentation in videos. |
JINYU YANG et. al. | arxiv-cs.CV | 2023-04-24 |
543 | Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach Using A Dilated Transformer and U-Net Architecture Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Dilated-UNet, which combines a Dilated Transformer block with the U-Net architecture for accurate and fast medical image segmentation. |
Davoud Saadati; Omid Nejati Manzari; Sattar Mirzakuchaki; | arxiv-cs.CV | 2023-04-22 |
544 | Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: SAM can be viewed as a general perception model for segmentation (partitioning images into semantically meaningful regions). Thus, how to utilize such a large foundation model for medical image segmentation is an emerging research target. |
Yizhe Zhang; Tao Zhou; Shuo Wang; Peixian Liang; Danny Z. Chen; | arxiv-cs.CV | 2023-04-22 |
545 | SACANet: Scene-aware Class Attention Network for Semantic Segmentation of Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we integrate both scene-aware and class attentions to propose a scene-aware class attention network (SACANet) for semantic segmentation of remote sensing images. |
XIAOWEN MA et. al. | arxiv-cs.CV | 2023-04-22 |
546 | Deep Attention Unet: A Network Model with Global Feature Perception Ability Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new type of UNet image segmentation algorithm based on channel self attention mechanism and residual connection called . |
Jiacheng Li; | arxiv-cs.CV | 2023-04-21 |
547 | SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks. |
Olivier Therrien; Marihan Amein; Zhuoran Xiong; Warren J. Gross; Brett H. Meyer; | arxiv-cs.CV | 2023-04-21 |
548 | Ensembling Instance and Semantic Segmentation for Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We demonstrate our solution for the 2019 COCO panoptic segmentation task. |
Mehmet Yildirim; Yogesh Langhe; | arxiv-cs.CV | 2023-04-20 |
549 | Boosting Semantic Segmentation with Semantic Boundaries Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present the Semantic Boundary Conditioned Backbone (SBCB) framework, a simple yet effective training framework that is model-agnostic and boosts segmentation performance, especially around the boundaries. |
Haruya Ishikawa; Yoshimitsu Aoki; | arxiv-cs.CV | 2023-04-19 |
550 | Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a method called Learning Temporal Distribution and Spatial Correlation (LTS) that has the potential to be a general solution for universal moving object segmentation. |
Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu; | arxiv-cs.CV | 2023-04-19 |
551 | SAM Fails to Segment Anything? — SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Rather than fine-tuning the SAM network, we propose \textbf{SAM-Adapter}, which incorporates domain-specific information or visual prompts into the segmentation network by using simple yet effective adapters. |
TIANRUN CHEN et. al. | arxiv-cs.CV | 2023-04-18 |
552 | Region-Enhanced Feature Learning for Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose using regions as the intermediate representation of point clouds instead of fine-grained points or voxels to reduce the computational burden. |
Xin Kang; Chaoqun Wang; Xuejin Chen; | arxiv-cs.CV | 2023-04-15 |
553 | MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: CLIP (Contrastive Language-Image Pretraining) is well-developed for open-vocabulary zero-shot image-level recognition, while its applications in pixel-level tasks are less … |
JIE GUO et. al. | arxiv-cs.CV | 2023-04-14 |
554 | CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, they perform bad on the tail classes containing limited number of pixels or less training samples. In order to address these issues, we present a new self-supervised domain adaptation approach to tackle long-tail semantic segmentation in this paper. |
THANH-DAT TRUONG et. al. | arxiv-cs.CV | 2023-04-14 |
555 | CROVIA: Seeing Drone Scenes from Car Perspective Via Cross-View Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our work proposes a novel Cross-View Adaptation (CROVIA) approach to effectively adapt the knowledge learned from on-road vehicle views to UAV views. |
THANH-DAT TRUONG et. al. | arxiv-cs.CV | 2023-04-14 |
556 | Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce a pretrained 3D backbone, called {\SST}, for 3D indoor scene understanding. |
YU-QI YANG et. al. | arxiv-cs.CV | 2023-04-13 |
557 | Few Shot Semantic Segmentation: A Review of Methodologies and Open Challenges Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This contribution provides an overview of FSL in semantic segmentation (FSS), proposes a new taxonomy, and describes current limitations and outlooks. |
Nico Catalano; Matteo Matteucci; | arxiv-cs.CV | 2023-04-12 |
558 | Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we leverage pseudo depth maps in order to segment objects of classes that have never been seen during training. |
Robin Schön; Katja Ludwig; Rainer Lienhart; | arxiv-cs.CV | 2023-04-12 |
559 | A Unified Multiscale Encoder-Decoder Transformer for Video Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an end-to-end trainable unified multiscale encoder-decoder transformer that is focused on dense prediction tasks in video. |
Rezaul Karim; He Zhao; Richard P. Wildes; Mennatullah Siam; | arxiv-cs.CV | 2023-04-12 |
560 | HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we proposed a Heterogeneous Swin Transformer with Multi-Receptive Field (HST-MRF) model based on U-shaped networks for medical image segmentation. |
Xiaofei Huang; Hongfang Gong; Jin Zhang; | arxiv-cs.CV | 2023-04-10 |
561 | Road-Side Individual Tree Segmentation from Urban MLS Point Clouds Using Metric Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As one of the most important components of urban space, an outdated inventory of road-side trees may misguide managers in the assessment and upgrade of urban environments, … |
PENGCHENG WANG et. al. | Remote. Sens. | 2023-04-10 |
562 | Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To alleviate the discrepancy, in this work, we propose a unified approach for online and near-online VPS. |
INKYU SHIN et. al. | arxiv-cs.CV | 2023-04-10 |
563 | BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve accurate and diverse medical image segmentation masks, we propose a novel conditional Bernoulli Diffusion model for medical image segmentation (BerDiff). |
Tao Chen; Chenhui Wang; Hongming Shan; | arxiv-cs.CV | 2023-04-10 |
564 | Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles Using Semantic Segmentation and Semantic Line Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Agronav, an end-to-end vision-based autonomous navigation framework, which outputs the centerline from the input image by sequentially processing it through semantic segmentation and semantic line detection models. |
Shivam K Panda; Yongkyu Lee; M. Khalid Jawed; | arxiv-cs.CV | 2023-04-09 |
565 | SegGPT: Segmenting Everything In Context IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SegGPT, a generalist model for segmenting everything in context. |
XINLONG WANG et. al. | arxiv-cs.CV | 2023-04-06 |
566 | Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose MORSE, a generic implicit neural rendering framework designed at an anatomical level to assist learning in medical image segmentation. |
Chenyu You; Weicheng Dai; Yifei Min; Lawrence Staib; James S. Duncan; | arxiv-cs.CV | 2023-04-06 |
567 | High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Thus, we reformulate both techniques based on binomial posteriors of multiple independent binary problems. |
Arvi Jonnarth; Yushan Zhang; Michael Felsberg; | arxiv-cs.CV | 2023-04-05 |
568 | Semantic Validation in Structure from Motion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This project offers a novel method for improved validation of 3D SfM models. |
Joseph Rowell; | arxiv-cs.CV | 2023-04-05 |
569 | Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate performing semantic segmentation solely through the training on image-sentence pairs. |
YABO ZHANG et. al. | arxiv-cs.CV | 2023-04-03 |
570 | RFNet: Reverse Fusion Network With Attention Mechanism for RGB-D Indoor Scene Understanding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: RGB-D indoor multiclass scene understandingis a pixelwise task that interprets RGB-D images using depth information to improve the RGB features for higher performance. We propose … |
Wujie Zhou; Sijia Lv; Jingsheng Lei; Ting Luo; Lu Yu; | IEEE Transactions on Emerging Topics in Computational … | 2023-04-01 |
571 | Integrated APC-GAN and AttuNet Framework for Automated Pavement Crack Pixel-Level Segmentation: A New Solution to Small Training Datasets Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Pavement crack segmentation using deep learning methods can improve crack segmentation accuracy, but in many cases the training dataset is lacking or uneven, making it … |
Tianjie Zhang; Donglei Wang; A. Mullins; Yang Lu; | IEEE Transactions on Intelligent Transportation Systems | 2023-04-01 |
572 | JSNet++: Dynamic Filters and Pointwise Correlation for 3D Point Cloud Instance and Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a novel joint instance and semantic segmentation approach, called JSNet++, to address the instance and semantic segmentation tasks of 3D point clouds … |
Lin Zhao; Wenbing Tao; | IEEE Transactions on Circuits and Systems for Video … | 2023-04-01 |
573 | On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View |
JON GUTIÉRREZ-ZABALLA et. al. | J. Syst. Archit. | 2023-04-01 |
574 | Dual-Space Graph-Based Interaction Network for RGB-Thermal Semantic Segmentation in Electric Power Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time scene comprehension is the basis for automatic electric power inspection. However, existing RGB-based scene comprehension methods may achieve unsatisfied performance … |
Chang Xu; Qingwu Li; Xiongbiao Jiang; Dabing Yu; Yaqin Zhou; | IEEE Transactions on Circuits and Systems for Video … | 2023-04-01 |
575 | CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Semantic scene understanding using thermal images has received great attention due to the advantage that thermal imaging cameras could see in challenging illumination conditions. … |
Zhen Feng; Yanning Guo; Yuxiang Sun; | IEEE Robotics and Automation Letters | 2023-04-01 |
576 | A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The construction of transport facilities plays a pivotal role in enhancing people’s living standards, stimulating economic growth, maintaining social stability and bolstering … |
Xuejie Hao; Lizeyan Yin; Xiuhong Li; Le Zhang; Rongjin Yang; | Remote. Sens. | 2023-03-30 |
577 | Complementary Random Masking for RGB-Thermal Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes 1) a complementary random masking strategy of RGB-T images and 2) self-distillation loss between clean and masked input modalities. |
Ukcheol Shin; Kyunghyun Lee; In So Kweon; | arxiv-cs.CV | 2023-03-30 |
578 | Removing Supervision in Semantic Segmentation with Local-global Matching and Area Balancing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We design a novel end-to-end model leveraging local-global patch matching to predict categories, good localization, area and shape of objects for semantic segmentation. |
Simone Rossetti; Nico Samà; Fiora Pirri; | arxiv-cs.CV | 2023-03-30 |
579 | De-coupling and De-positioning Dense Self-supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Dense Self-Supervised Learning (SSL) methods address the limitations of using image-level feature representations when handling images with multiple objects. |
Congpei Qiu; Tong Zhang; Wei Ke; Mathieu Salzmann; Sabine Süsstrunk; | arxiv-cs.CV | 2023-03-29 |
580 | Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, transformers may exhibit a limited generalization ability due to the underlying single-scale self-attention (SA) mechanism. In this paper, we address this issue by introducing a Multi-scale hiERarchical vIsion Transformer (MERIT) backbone network, which improves the generalizability of the model by computing SA at multiple scales. |
Md Mostafijur Rahman; Radu Marculescu; | arxiv-cs.CV | 2023-03-29 |
581 | Domain Adaptive Semantic Segmentation By Optimal Transport Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, how to use a small size of labeled data to achieve semantic segmentation becomes more and more important. In this paper, we propose a domain adaptation (DA) framework based on optimal transport (OT) and attention mechanism to address this issue. |
Yaqian Guo; Xin Wang; Ce Li; Shihui Ying; | arxiv-cs.CV | 2023-03-28 |
582 | Real-Time Semantic Segmentation Using Hyperspectral Images for Mapping Unstructured and Unknown Environments Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our work we propose the use of hyperspectral images for real-time pixel-wise semantic classification and segmentation, without the need of any prior training data. |
Anthony Medellin; Anant Bhamri; Reza Langari; Swaminathan Gopalswamy; | arxiv-cs.CV | 2023-03-27 |
583 | Hierarchical Dense Correlation Distillation for Few-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we design Hierarchically Decoupled Matching Network (HDMNet) mining pixel-level support correlation based on the transformer architecture. |
BOHAO PENG et. al. | arxiv-cs.CV | 2023-03-26 |
584 | A Dynamic Effective Class Balanced Approach for Remote Sensing Imagery Semantic Segmentation of Imbalanced Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The wide application and rapid development of satellite remote sensing technology have put higher requirements on remote sensing image segmentation methods. Because of its … |
ZHENG ZHOU et. al. | Remote. Sens. | 2023-03-25 |
585 | OVeNet: Offset Vector Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on knowledge about the high regularity of real-world scenes, we propose a method for improving class predictions by learning to selectively exploit information from neighboring pixels. |
Stamatis Alexandropoulos; Christos Sakaridis; Petros Maragos; | arxiv-cs.CV | 2023-03-25 |
586 | FishDreamer: Towards Fisheye Semantic Completion Via Unified Image Outpainting and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To jointly estimate the tightly intertwined complete fisheye image and scene semantics, we introduce the new FishDreamer which relies on successful ViTs enhanced with a novel Polar-aware Cross Attention module (PCA) to leverage dense context and guide semantically-consistent content generation while considering different polar distributions. |
HAO SHI et. al. | arxiv-cs.CV | 2023-03-24 |
587 | Influencer Backdoor Attack on Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore backdoor attacks on segmentation models to misclassify all pixels of a victim class by injecting a specific trigger on non-victim pixels during inferences, which is dubbed Influencer Backdoor Attack (IBA). |
Haoheng Lan; Jindong Gu; Philip Torr; Hengshuang Zhao; | arxiv-cs.CV | 2023-03-21 |
588 | Defense Against Adversarial Patch Attacks for Aerial Image Semantic Segmentation By Robust Feature Extraction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning (DL) models have recently been widely used in UAV aerial image semantic segmentation tasks and have achieved excellent performance. However, DL models are vulnerable … |
Zhen Wang; Buhong Wang; Chuanlei Zhang; Yaohui Liu; | Remote. Sens. | 2023-03-21 |
589 | CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce a novel cost-based approach to adapt vision-language foundation models, notably CLIP, for the intricate task of semantic segmentation. |
SEOKJU CHO et. al. | arxiv-cs.CV | 2023-03-21 |
590 | Neural Implicit Vision-Language Feature Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a zero-shot volumetric open-vocabulary semantic scene segmentation method. |
Kenneth Blomqvist; Francesco Milano; Jen Jen Chung; Lionel Ott; Roland Siegwart; | arxiv-cs.RO | 2023-03-20 |
591 | Semantic 3D Scene Segmentation for Robotic Assembly Process Execution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a pipeline for creating synthetic point clouds for specific use cases in order to train a model for point cloud semantic segmentation. |
Andreas Wiedholz; Stefanie Wucherer; Simon Dietrich; | arxiv-cs.RO | 2023-03-20 |
592 | Generative Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Generative Semantic Segmentation (GSS), a generative learning approach for semantic segmentation. |
Jiaqi Chen; Jiachen Lu; Xiatian Zhu; Li Zhang; | arxiv-cs.CV | 2023-03-20 |
593 | Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper systematically studies the impact of mixup under the domain adaptaive semantic segmentation task and presents a simple yet effective mixup strategy called Bidirectional Domain Mixup (BDM). |
DAEHAN KIM et. al. | arxiv-cs.CV | 2023-03-17 |
594 | Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we revisit the idea of using image reconstruction as the auxiliary task and incorporate it with a modern semi-supervised semantic segmentation framework. |
Yuhao Lin; Haiming Xu; Lingqiao Liu; Jinan Zou; Javen Qinfeng Shi; | arxiv-cs.CV | 2023-03-17 |
595 | Edge-aware Plug-and-play Scheme for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However these methods are specific and limited to certain network architectures, and they can not be transferred to other models or tasks. Therefore, we propose an abstract and universal edge supervision method called Edge-aware Plug-and-play Scheme (EPS), which can be easily and quickly applied to any semantic segmentation models. |
JIANYE YI et. al. | arxiv-cs.CV | 2023-03-17 |
596 | Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such a paradigm struggles with the problem of RS multi-view scene segmentation with limited labeled views due to the lack of considering 3D information within the scene. In this paper, we propose ”Implicit Ray-Transformer (IRT)” based on Implicit Neural Representation (INR), for RS scene semantic segmentation with sparse labels (such as 4-6 labels per 100 images). |
Zipeng Qi; Hao Chen; Chenyang Liu; Zhenwei Shi; Zhengxia Zou; | arxiv-cs.CV | 2023-03-15 |
597 | Implicit Ray Transformers for Multiview Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The mainstream convolutional neural network (CNN)-based remote sensing (RS) image semantic segmentation approaches typically rely on massively labeled training data. Such a … |
Zipeng Qi; Hao Chen; Chenyang Liu; Z. Shi; Zhengxia Zou; | IEEE Transactions on Geoscience and Remote Sensing | 2023-03-15 |
598 | Stochastic Segmentation with Conditional Categorical Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this context, stochastic semantic segmentation methods must learn to predict conditional distributions of labels given the image, but this is challenging due to the typically multimodal distributions, high-dimensional output spaces, and limited annotation data. To address these challenges, we propose a conditional categorical diffusion model (CCDM) for semantic segmentation based on Denoising Diffusion Probabilistic Models. |
LUKAS ZBINDEN et. al. | arxiv-cs.CV | 2023-03-15 |
599 | SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Aiming at practical RGB-T (thermal) segmentation, we systematically propose a Spatial-aware Demand-guided Recursive Meshing (SpiderMesh) framework that: 1) proactively compensates inadequate contextual semantics in optically-impaired regions via a demand-guided target masking algorithm; 2) refines multimodal semantic features with recursive meshing to improve pixel-level semantic analysis performance. |
Siqi Fan; Zhe Wang; Yan Wang; Jingjing Liu; | arxiv-cs.CV | 2023-03-15 |
600 | Class-level Multiple Distributions Representation Are Necessary for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce for the first time to describe intra-class variations by multiple distributions. |
Jianjian Yin; Zhichao Zheng; Yanhui Gu; Junsheng Zhou; Yi Chen; | arxiv-cs.CV | 2023-03-14 |
601 | ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We define a boundary here as the line separating an object and its background, or two different objects. To address this drawback, we are proposing our novel ReFit framework, which deploys state-of-the-art class activation maps combined with various post-processing techniques in order to achieve fine-grained higher-accuracy segmentation masks. |
Bharath Srinivas Prabakaran; Erik Ostrowski; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
602 | ISLE: A Framework for Image Level Semantic Segmentation Ensemble Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, when scrutinizing the results of state-of-the-art in more detail, we notice that they are remarkably close to each other on average prediction quality, different approaches perform better in different classes while providing low quality in others. To address this problem, we propose a novel framework, ISLE, which employs an ensemble of the pseudo-labels for a given set of different semantic segmentation techniques on a class-wise level. |
Erik Ostrowski; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
603 | Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, most state-of-the-art approaches rely on them to achieve their improvements. Therefore, we propose a framework that can still utilize the low-quality CAM predictions of complicated datasets to improve the accuracy of our results. |
Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
604 | SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a framework that introduces an additional module using object perimeters for improved saliency. |
Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
605 | CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the challenges, we propose a click-based and mask-guided interactive image segmentation framework containing three novel components: Cascade-Forward Refinement (CFR), Iterative Click Loss (ICL), and SUEM image augmentation. |
Shoukun Sun; Min Xian; Fei Xu; Luca Capriotti; Tiankai Yao; | arxiv-cs.CV | 2023-03-09 |
606 | CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose directly transferring CLIP’s feature space to 3D scene understanding model without any form of supervision. |
Junbo Zhang; Runpei Dong; Kaisheng Ma; | arxiv-cs.CV | 2023-03-08 |
607 | A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we conduct a survey on the most relevant and recent advances in Deep Semantic Segmentation in the context of vision for autonomous vehicles, from three different perspectives: efficiency-oriented model development for real-time operation, RGB-Depth data integration (RGB-D semantic segmentation), and the use of temporal information from videos in temporally-aware models. |
Felipe Manfio Barbosa; Fernando Santos Osório; | arxiv-cs.CV | 2023-03-07 |
608 | InsMOS: Instance-Aware Moving Object Segmentation in LiDAR Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel network that addresses the challenge of segmenting moving objects in 3D LiDAR scans. |
NENG WANG et. al. | arxiv-cs.CV | 2023-03-07 |
609 | Traffic Scene Parsing Through The TSP6K Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, little effort has been put into improving the traffic monitoring scene understanding, mainly due to the lack of specific datasets. To fill this gap, we introduce a specialized traffic monitoring dataset, termed TSP6K, containing images from the traffic monitoring scenario, with high-quality pixel-level and instance-level annotations. |
PENG-TAO JIANG et. al. | arxiv-cs.CV | 2023-03-05 |
610 | Exploit CAM By Itself: Complementary Learning System for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: CLS holds that the neocortex builds a sensation of general knowledge, while the hippocampus specially learns specific details, completing the learned patterns. Motivated by this simple but effective learning pattern, we propose a General-Specific Learning Mechanism (GSLM) to explicitly drive a coarse-grained CAM to a fine-grained pseudo mask. |
JIREN MAI et. al. | arxiv-cs.CV | 2023-03-04 |
611 | Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Using light-weight architectures or reasoning on low-resolution images, recent methods realize very fast scene parsing, even running at more than 100 FPS on a single GPU. However, … |
Huihui Pan; Yuanduo Hong; Weichao Sun; Yisong Jia; | IEEE Transactions on Intelligent Transportation Systems | 2023-03-01 |
612 | THCANet: Two-layer Hop Cascaded Asymptotic Network for Robot-driving Road-scene Semantic Segmentation in RGB-D Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
GAO XU et. al. | Digit. Signal Process. | 2023-03-01 |
613 | Mask3D: Pretraining 2D Vision Transformers By Learning Masked 3D Priors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current popular backbones in computer vision, such as Vision Transformers (ViT) and ResNets are trained to per-ceive the world from 2D images. However, to more effectively … |
Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; M. Nießner; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-02-28 |
614 | Mask3D: Pre-training 2D Vision Transformers By Learning Masked 3D Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast to traditional 3D contrastive learning paradigms requiring 3D reconstructions or multi-view correspondences, our approach is simple: we formulate a pre-text reconstruction task by masking RGB and depth patches in individual RGB-D frames. |
Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner; | arxiv-cs.CV | 2023-02-28 |
615 | Global Feature Attention Network: Addressing The Threat of Adversarial Attack for Aerial Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Aerial Image Semantic segmentation based on convolution neural networks (CNNs) has made significant process in recent years. Nevertheless, their vulnerability to adversarial … |
Zhen Wang; Buhong Wang; Yaohui Liu; Jianxin Guo; | Remote. Sens. | 2023-02-27 |
616 | A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel unified weakly supervised OVSS pipeline that can perform ZSS, FSS and Cross-dataset segmentation on novel classes without using pixel-level labels for either the base (seen) or the novel (unseen) classes in an inductive setting. |
Prashant Pandey; Mustafa Chasmai; Monish Natarajan; Brejesh Lall; | arxiv-cs.CV | 2023-02-27 |
617 | RemoteNet: Remote Sensing Image Segmentation Network Based on Global-Local Information Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing networks struggle to capture the inherent features due to the cluttered background. To address these issues, we propose a remote sensing image segmentation network, RemoteNet, for semantic segmentation of remote sensing images. |
Satyawant Kumar; Abhishek Kumar; Dong-Gyu Lee; | arxiv-cs.CV | 2023-02-25 |
618 | On-Device Unsupervised Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Along with the breakthrough of convolutional neural networks, learning-based segmentation has emerged in many research works. Most of them are based on supervised learning, … |
Junhuan Yang; Yi Sheng; Yu-zhao Zhang; Weiwen Jiang; Lei Yang; | ArXiv | 2023-02-24 |
619 | An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, an iterative classification and semantic segmentation network (ICSSN) is developed, which can greatly enhance both object-level and pixel-level classification performance by iteratively upgrading the feature extractor shared by two network. |
ZILI LU et. al. | arxiv-cs.CV | 2023-02-23 |
620 | HRRNet: Hierarchical Refinement Residual Network for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of high-resolution remote sensing images plays an important role in many practical applications, including precision agriculture and natural disaster … |
Shiwei Cheng; Baozhu Li; Le Sun; Yuwen Chen; | Remote. Sens. | 2023-02-23 |
621 | SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation As Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we applied the PointRend (Point-based Rendering) method to semiconductor defect segmentation. |
MinJin Hwang; Bappaditya Dey; Enrique Dehaerne; Sandip Halder; Young-han Shin; | arxiv-cs.CV | 2023-02-19 |
622 | Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we propose a few-shot 3D LiDAR semantic segmentation method that predicts both novel classes and base classes simultaneously. |
Jilin Mei; Junbao Zhou; Yu Hu; | arxiv-cs.RO | 2023-02-17 |
623 | Model Doctor for Diagnosing and Treating Segmentation Error Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from local misclassification of categories and inaccurate target boundaries. In an effort to alleviate this issue, we propose a Model Doctor for semantic segmentation problems. |
ZHIJIE JIA et. al. | arxiv-cs.CV | 2023-02-17 |
624 | TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a transformer-based plug-and-play uncertain point refiner, i.e., TransUPR, to refine selected uncertain points in a learnable manner, which leads to an improved segmentation performance. |
ZIFAN YU et. al. | arxiv-cs.CV | 2023-02-16 |
625 | Semantic Image Segmentation: Two Decades of Research IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since unlabeled data is instead significantly cheaper to obtain, it is not surprising that Unsupervised Domain Adaptation (UDA) reached a broad success within the semantic segmentation community. Therefore, a second core contribution of this book is to summarize five years of a rapidly growing field, Domain Adaptation for Semantic Image Segmentation (DASiS) which embraces the importance of semantic segmentation itself and a critical need of adapting segmentation models to new environments. |
Gabriela Csurka; Riccardo Volpi; Boris Chidlovskii; | arxiv-cs.CV | 2023-02-13 |
626 | A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation-based semantic features (SSFs). |
Ricardo Pereira; Tiago Barros; Luis Garrote; Ana Lopes; Urbano J. Nunes; | arxiv-cs.CV | 2023-02-13 |
627 | RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on A Computational Budget Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we devise a Loose Dense Connection Strategy to connect neurons in subsequent layers with reduced parameters. |
Sourajit Saha; Shaswati Saha; Md Osman Gani; Tim Oates; David Chapman; | arxiv-cs.CV | 2023-02-13 |
628 | CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a streamlined cascade encoder-decoder network, dubbed CEDNet, tailored for dense \mbox{prediction} tasks. |
Gang Zhang; Ziyi Li; Chufeng Tang; Jianmin Li; Xiaolin Hu; | arxiv-cs.CV | 2023-02-12 |
629 | Self-Supervised Unseen Object Instance Segmentation Via Long-Term Robot Interaction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel robotic system for improving unseen object instance segmentation in the real world by leveraging long-term robot interaction with objects. |
YANGXIAO LU et. al. | arxiv-cs.RO | 2023-02-07 |
630 | 1st Place Solution for PSG Competition with ECCV’22 SenseHuman Workshop Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: One-stage approach despite having a simplified training paradigm, its segmentation results are usually under-satisfactory, while two-stage approach lacks global context and leads to low performance on relation prediction. To bridge this gap, in this paper, we propose GRNet, a Global Relation Network in two-stage paradigm, where the pre-extracted local object features and their corresponding masks are fed into a transformer with class embeddings. |
Qixun Wang; Xiaofeng Guo; Haofan Wang; | arxiv-cs.CV | 2023-02-06 |
631 | Multi-Task Self-Supervised Learning for Image Segmentation Task Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thanks to breakthroughs in AI and Deep learning methodology, Computer vision techniques are rapidly improving. |
Lichun Gao; Chinmaya Khamesra; Uday Kumbhar; Ashay Aglawe; | arxiv-cs.LG | 2023-02-05 |
632 | Variational Multichannel Multiclass Segmentation Using Unsupervised Lifting with CNNs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an unsupervised image segmentation approach, that combines a variational energy functional and deep convolutional neural networks. |
Nadja Gruber; Johannes Schwab; Sebastien Court; Elke Gizewski; Markus Haltmeier; | arxiv-cs.CV | 2023-02-04 |
633 | Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose ARCO, a semi-supervised contrastive learning (CL) framework with stratified group theory for medical image segmentation. |
CHENYU YOU et. al. | arxiv-cs.CV | 2023-02-03 |
634 | Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We utilize the teacher model to obtain prediction uncertainty and spatially varying label smoothing with Gaussian kernel to generate segmentation boundary uncertainty from the annotation. |
MOBARAKOL ISLAM et. al. | arxiv-cs.CV | 2023-02-02 |
635 | 3D Segmenter: 3D Transformer Based Semantic Segmentation Via 2D Panoramic Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, in this work, we propose the first 2D-to-3D knowledge distillation strategy to enhance 3D semantic segmentation model with knowledge embedded in the latent space of powerful 2D models.To facilitate our research, we create a large-scale, fine-annotated 3D semantic segmentation benchmark, containing voxel-wise semantic labels and aligned panoramas of 5175 scenes. |
ZHENNAN WU et. al. | iclr | 2023-02-01 |
636 | ILabel: Revealing Objects in Neural Fields IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A neural field trained with self-supervision to efficiently represent the geometry and colour of a 3D scene tends to automatically decompose it into coherent and accurate … |
S. ZHI et. al. | IEEE Robotics and Automation Letters | 2023-02-01 |
637 | NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel collaborative contrastive loss for NeRF to segment objects in complex real-world scenes, without any annotation. |
ZHIWEN FAN et. al. | iclr | 2023-02-01 |
638 | Bi-Unet: A Dual Stream Network for Real-Time Highway Surface Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Highway surface segmentation consists of extracting road surface at pixel-level from the surveillance camera view. Since the intelligent traffic event detection task does not … |
Jian Sun; Junge Shen; Xin Wang; Zhaoyong Mao; Jing Ren; | IEEE Transactions on Intelligent Vehicles | 2023-02-01 |
639 | ViewCo: Discovering Text-Supervised Segmentation Masks Via Multi-View Semantic Consistency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing works focus on pixel grouping and cross-modal semantic alignment, while ignoring the correspondence among multiple augmented views of the same image. To overcome such limitation, we propose multi-View Consistent learning (ViewCo) for text-supervised semantic segmentation. |
PENGZHEN REN et. al. | iclr | 2023-02-01 |
640 | CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose CO3, namely {Co}operative {Co}ntrastive Learning and {Co}ntextual Shape Prediction, to learn 3D representation for outdoor-scene point clouds in an unsupervised manner. |
RUNJIAN CHEN et. al. | iclr | 2023-02-01 |
641 | SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a new method squeeze-enhanced Axial Transformer (SeaFormer) for mobile semantic segmentation. |
Qiang Wan; Jiachen Lu; Zilong Huang; Gang YU; Li Zhang; | iclr | 2023-02-01 |
642 | DRE-Net: A Dynamic Radius-Encoding Neural Network with An Incremental Training Strategy for Interactive Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing (RS) images, which is a fundamental research topic, classifies each pixel in an image. It plays an essential role in many downstream RS … |
L. Yang; Wenjie Zi; Hao Chen; Shuang Peng; | Remote. Sens. | 2023-01-31 |
643 | Continual Segment: Towards A Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a new architectural CSS learning framework to learn a single deep segmentation model for segmenting a total of 143 whole-body organs. |
ZHANGHEXUAN JI et. al. | arxiv-cs.CV | 2023-01-31 |
644 | SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a new method squeeze-enhanced Axial TransFormer (SeaFormer) for mobile semantic segmentation. |
Qiang Wan; Zilong Huang; Jiachen Lu; Gang Yu; Li Zhang; | arxiv-cs.CV | 2023-01-30 |
645 | Audio-Visual Segmentation with Semantics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The first two settings need to generate binary masks of sounding objects indicating pixels corresponding to the audio, while the third setting further requires generating semantic maps indicating the object category. To deal with these problems, we propose a new baseline method that uses a temporal pixel-wise audio-visual interaction module to inject audio semantics as guidance for the visual segmentation process. |
JINXING ZHOU et. al. | arxiv-cs.CV | 2023-01-30 |
646 | Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes EyeNet, a novel semantic segmentation network for point clouds that addresses the critical yet often overlooked parameter of coverage area size. |
Sunghwan Yoo; Yeongjeong Jeong; Maryam Jameela; Gunho Sohn; | arxiv-cs.CV | 2023-01-30 |
647 | ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose a novel Zero-shot segmentation with Optimal Transport (ZegOT) method that matches multiple text prompts with frozen image embeddings through optimal transport. |
Kwanyoung Kim; Yujin Oh; Jong Chul Ye; | arxiv-cs.CV | 2023-01-28 |
648 | ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce ProtoSeg, a novel model for interpretable semantic image segmentation, which constructs its predictions using similar patches from the training set. |
Mikołaj Sacha; Dawid Rymarczyk; Łukasz Struski; Jacek Tabor; Bartosz Zieliński; | arxiv-cs.CV | 2023-01-28 |
649 | Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by these, we propose a Transformer-based method with semantic segmentation as another learning objective. |
Shuo Zhang; | arxiv-cs.CV | 2023-01-26 |
650 | Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent solutions showed how different learning techniques can be used to improve the performance of the model, without any architectural or dataset change. Following this trend, we present a coarse-to-fine setup that LEArns from classification mistaKes (LEAK) derived from a standard model. |
Elena Camuffo; Umberto Michieli; Simone Milani; | arxiv-cs.CV | 2023-01-26 |
651 | Flow-guided Semi-supervised Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an optical flow-guided approach for semi-supervised video object segmentation. |
Yushan Zhang; Andreas Robinson; Maria Magnusson; Michael Felsberg; | arxiv-cs.CV | 2023-01-25 |
652 | Improving Sketch Colorization Using Adversarial Segmentation Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new method for producing color images from sketches. |
Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu; | arxiv-cs.CV | 2023-01-20 |
653 | Training Semantic Segmentation on Heterogeneous Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The HTSS formulation exposes deep networks to a larger and previously unexplored aggregation of information that can potentially enhance semantic segmentation in three directions: i) performance: increased segmentation metrics on seen datasets, ii) generalization: improved segmentation metrics on unseen datasets, and iii) knowledgeability: increased number of recognizable semantic concepts. To research these benefits of HTSS, we propose a unified framework, that incorporates heterogeneous datasets in a single-network training pipeline following the established FCN standard. |
Panagiotis Meletis; Gijs Dubbelman; | arxiv-cs.CV | 2023-01-18 |
654 | Model-based Inexact Graph Matching on Top of CNNs for Semantic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel post-processing module enforcing structural knowledge about the objects of interest to improve segmentation results provided by deep learning. |
Jérémy Chopin; Jean-Baptiste Fasquel; Harold Mouchère; Rozenn Dahyot; Isabelle Bloch; | arxiv-cs.CV | 2023-01-18 |
655 | Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the cultural heritage field, point clouds, as important raw data of geomatics, are not only three-dimensional (3D) spatial presentations of 3D objects but they also have the … |
Su Yang; M. Hou; Songnian Li; | Remote. Sens. | 2023-01-17 |
656 | Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To decrease the negative influence of domain shift, we propose a self-training guided disentangled adaptation network (ST-DASegNet). |
Qi Zhao; Shuchang Lyu; Binghao Liu; Lijiang Chen; Hongbo Zhao; | arxiv-cs.CV | 2023-01-13 |
657 | A Comprehensive Review of Modern Object Segmentation Approaches Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is the task of associating pixels in an image with their respective object class labels. It has a wide range of applications in many industries including … |
Yuanbo Wang; Unaiza Ahsan; H. Li; Matthew S. Hagen; | ArXiv | 2023-01-13 |
658 | RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the issues above, we propose a novel semi-supervised segmentation method named as Rectified Contrastive Pseudo Supervision (RCPS), which combines a rectified pseudo supervision and voxel-level contrastive learning to improve the effectiveness of semi-supervised segmentation. |
XIANGYU ZHAO et. al. | arxiv-cs.CV | 2023-01-13 |
659 | Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we adopt a coarse-to-fine strategy and propose a self-supervised correction learning paradigm for semi-supervised biomedical image segmentation. |
Ruifei Zhang; Sishuo Liu; Yizhou Yu; Guanbin Li; | arxiv-cs.CV | 2023-01-12 |
660 | Semantic Segmentation Via Pixel-to-Center Similarity Calculation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we first rethink semantic segmentation from a perspective of similarity between pixels and class centers. |
DONGYUE WU et. al. | arxiv-cs.CV | 2023-01-12 |
661 | LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a lightweight and efficient projection-based semantic segmentation network called LENet with an encoder-decoder structure for LiDAR-based semantic segmentation. |
Ben Ding; | arxiv-cs.CV | 2023-01-10 |
662 | RCCT-ASPPNet: Dual-Encoder Remote Image Segmentation Based on Transformer and ASPP Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote image semantic segmentation technology is one of the core research elements in the field of computer vision and has a wide range of applications in production life. Most … |
Yazhou Li; Zhiyou Cheng; Chuanjian Wang; Jinling Zhao; Linsheng Huang; | Remote. Sens. | 2023-01-07 |
663 | Benchmarking The Robustness of LiDAR Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to comprehensively analyze the robustness of LiDAR semantic segmentation models under various corruptions. |
XU YAN et. al. | arxiv-cs.CV | 2023-01-03 |
664 | I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel UDA pipeline for semantic segmentation that unifies image-level and feature-level adaptation. |
Haoyu Ma; Xiangru Lin; Yizhou Yu; | arxiv-cs.CV | 2023-01-03 |
665 | Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is one of the most challenging tasks for very high-resolution (VHR) remote sensing applications. Deep convolutional neural networks (DCNNs) based on the … |
Renchu Guan; Ming Wang; L. Bruzzone; Haishi Zhao; Chen Yang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
666 | Brain Tumour Segmentation Using S-Net and SA-Net Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is an application area of computer vision and digital image processing that partitions a digital image into multiple image regions or segments. This process … |
S. ROY et. al. | IEEE Access | 2023-01-01 |
667 | MISNet: Multiscale Cross-Layer Interactive and Similarity Refinement Network for Scene Parsing of Aerial Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although progress has been made in multisource data scene parsing of natural scene images, extracting complex backgrounds from aerial images of various types and presenting the … |
Wujie Zhou; Xiaomin Fan; Lu Yu; Jingsheng Lei; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
668 | Graph Attention Guidance Network With Knowledge Distillation for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has become a popular method for studying the semantic segmentation of high-resolution remote sensing images (HRRSIs). Existing methods have adopted convolutional … |
WUJIE ZHOU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
669 | Canny Enhanced High-Resolution Neural Network for Satellite Image Based Land Cover Classification and Its Application in Wireless Channel Simulations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Satellite image based land cover classification, which falls under the category of semantic segmentation, is critical for many global and environmental applications. Deep learning … |
LINA WU et. al. | IEEE Journal of Selected Topics in Signal Processing | 2023-01-01 |
670 | EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object segmentation is a per-pixel label prediction task that targets at providing context analysis for autonomous driving. Moving-object segmentation (MOS) serves as a subbranch … |
ZHIJIAN HE et. al. | IEEE Transactions on Computer-Aided Design of Integrated … | 2023-01-01 |
671 | Slender Flexible Object Segmentation Based on Object Correlation Module and Loss Function Optimization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Slender flexible objects are ubiquitous in real-world circumstances. The existing object detection and segmentation algorithms have achieved high accuracy and speed in rigid … |
Xinqiang Chen; Weihao Chen; Lumei Su; Tianyou Li; | IEEE Access | 2023-01-01 |
672 | Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time semantic segmentation of aerial imagery is essential for unmanned ariel vehicle applications, including military surveillance, land characterization, and disaster damage … |
Farshad Safavi; M. Rahnemoonfar; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
673 | Multi-modal Unsupervised Domain Adaptation for Semantic Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sijie Hu; Fabien Bonardi; S. Bouchafa; D. Sidibé; | Pattern Recognit. | 2023-01-01 |
674 | Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two … |
Shakhboz Abdigapporov; Shokhrukh Miraliev; Vijay Kakani; Hakil Kim; | IEEE Access | 2023-01-01 |
675 | Hidden Feature-Guided Semantic Segmentation Network for Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For semantic segmentation of remote sensing images, convolutional neural networks (CNNs) have proven to be powerful tools. However, the existing CNN-based methods have the … |
Zhen Wang; Shanwen Zhang; Chuanlei Zhang; Buhong Wang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
676 | SegTrans: Semantic Segmentation With Transfer Learning for MLS Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Three-dimensional point cloud semantic segmentation plays an essential role in fine-grained scene understanding from photogrammetry to autonomous driving. Although recent efforts … |
SHUO SHEN et. al. | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
677 | One Model Is Enough: Toward Multiclass Weakly Supervised Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images (RSIs) is effective for large-scale land cover mapping, which heavily relies on a large amount of training data with laborious … |
Zhenshi Li; Xue-liang Zhang; P. Xiao; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
678 | SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame Annotations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Sequential point clouds acquired by light detection and ranging (LiDAR) technology provide accurate spatial information for environmental sensing. However, semantic segmentation … |
JUNHAO ZHAO et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
679 | Guiding Text-to-Image Diffusion Model Towards Grounded Generation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The goal of this paper is to augment a pre-trained text-toimage diffusion model with the ability of open-vocabulary objects grounding, i.e., simultaneously generating images and … |
ZIYI LI et. al. | ArXiv | 2023-01-01 |
680 | Context-Aware 3D Point Cloud Semantic Segmentation With Plane Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Point cloud segmentation is fundamental in under- standing 3D environments. However, most existing methods usually perform poorly on identifying boundaries of touching objects and … |
Tingyu Weng; Junhao Xiao; Feilong Yan; Haiyong Jiang; | IEEE Transactions on Multimedia | 2023-01-01 |
681 | Building Extraction From Very High-Resolution Remote Sensing Images Using Refine-UNet IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate building extraction from very high-resolution (VHR) remote sensing images plays an important role in urban dynamic monitoring, planning, and management. However, it is … |
Weiyan Qiu; Lingjia Gu; Fang Gao; Tao Jiang; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
682 | Multimodal Remote Sensing Image Segmentation With Intuition-Inspired Hypergraph Modeling IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multimodal remote sensing (RS) image segmentation aims to comprehensively utilize multiple RS modalities to assign pixel-level semantics to the studied scenes, which can provide a … |
QI HE et. al. | IEEE Transactions on Image Processing | 2023-01-01 |
683 | Label Propagation and Contrastive Regularization for Semisupervised Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remarkable progress based on deep neural networks has been achieved in the semantic segmentation of remote sensing images (RSIs). However, pixel-level labeling is expensive for … |
ZHUJUN YANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
684 | Cross-Modality Features Fusion for Synthetic Aperture Radar Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic aperture radar (SAR) image segmentation stands as a formidable research frontier within the domain of SAR image interpretation. The fully convolutional network (FCN) … |
F. GAO et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
685 | DSM-Assisted Unsupervised Domain Adaptive Network for Semantic Segmentation of Remote Sensing Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of high-resolution remote sensing imagery (RSI) is an essential task for many applications. As a promising unsupervised learning method, unsupervised … |
SHUNPING ZHOU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
686 | Edge Detection Guide Network for Semantic Segmentation of Remote-Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The acquisition of high-resolution satellite and airborne remote sensing images has been significantly simplified due to the rapid development of sensor technology. Several … |
J. Jin; Wujie Zhou; Rongwang Yang; L. Ye; Lu Yu; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
687 | Weakly Supervised Few-Shot Semantic Segmentation Via Pseudo Mask Enhancement and Meta Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Few shot semantic segmentation has been proposed to enhance the generalization ability of traditional models with limited data. Previous works mainly focus on the supervised … |
MAN ZHANG et. al. | IEEE Transactions on Multimedia | 2023-01-01 |
688 | 3D Point Cloud Semantic Segmentation System Based on Lightweight FPConv Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we proposed a 3D point cloud semantic segmentation system based on lightweight FPConv. In 3D point cloud mapping, data is depicted in a 3D space to represent 3D … |
Yunqi Fan; Kuan-Yu Liao; You-Sheng Xiao; Min-Hua Lu; Wei-Zhe Yan; | IEEE Access | 2023-01-01 |
689 | Adjacent Bi-Hierarchical Network for Scene Parsing of Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Driven by the rapid development and application of earth observation sensors, the scene parsing of remote sensing images (RSIs) has attracted extensive research attention in … |
Jiabao Ma; Wujie Zhou; Jingsheng Lei; Lu Yu; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
690 | High-Order Semantic Decoupling Network for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Low-order features based on convolution kernel are easy to be distorted when encountering dramatic view angle transformation and atmospheric scattering in remote sensing (RS) … |
C. ZHENG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
691 | BIBED-Seg: Block-in-Block Edge Detection Network for Guiding Semantic Segmentation Task of High-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Edge optimization of semantic segmentation results is a challenging issue in remote sensing image processing. This article proposes a semantic segmentation model guided by a … |
Baikai Sui; Yungang Cao; Xue Bai; Shuang Zhang; Ren-Fen Wu; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
692 | Semantic Segmentation in Aerial Imagery Using Multi-level Contrastive Learning with Local Consistency Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in large-scale aerial images is an extremely challenging task. On one hand, the limited ground truth, as compared to the vast area the images cover, greatly … |
Maofeng Tang; Konstantinos Georgiou; Hairong Qi; Cody Champion; Marc Bosch; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
693 | RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proposal of the segment anything model (SAM) has created a new paradigm for the deep-learning-based semantic segmentation field and has shown amazing generalization … |
ZHIYUAN YAN et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
694 | A Real-Time Scene Parsing Network for Autonomous Maritime Transportation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: On the sea, scene parsing, one of the most basic environmental perception methods for autonomous tasks, helps autonomous devices safely navigate and avoid obstacles. However, most … |
Run Zhou; Yulong Gao; Yang Wang; Xingxiang Xie; Xiongwei Zhao; | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
695 | Medical Image Segmentation Based on Transformer and HarDNet Structures IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement … |
Tongping Shen; Huanqing Xu; | IEEE Access | 2023-01-01 |
696 | MIGN: Multiscale Image Generation Network for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of computer vision, the semantic segmentation of remote sensing images, which has become an important topic, has been utilized in various applications for … |
JIE NIE et. al. | IEEE Transactions on Multimedia | 2023-01-01 |
697 | Zero-Shot Object Segmentation Through Concept Distillation from Generative Image Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel method that enables the generation of general foreground-background segmentation models from simple textual descriptions, without requiring segmentation labels. |
Mischa Dombrowski; Hadrien Reynaud; Matthew Baugh; Bernhard Kainz; | arxiv-cs.CV | 2022-12-29 |
698 | PanDepth: Joint Panoptic Segmentation and Depth Completion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a multi-task model for panoptic segmentation and depth completion using RGB images and sparse depth maps. |
Juan Lagos; Esa Rahtu; | arxiv-cs.CV | 2022-12-29 |
699 | AttEntropy: Segmenting Unknown Objects in Complex Scenes Using The Spatial Attention Entropy of Semantic Segmentation Transformers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we conduct an in-depth study of the spatial attentions of different backbone layers of semantic segmentation transformers and uncover interesting properties. |
Krzysztof Lis; Matthias Rottmann; Sina Honari; Pascal Fua; Mathieu Salzmann; | arxiv-cs.CV | 2022-12-29 |
700 | Interactive Segmentation of Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the ISRF method to interactively segment objects with fine structure and appearance. |
Rahul Goel; Dhawal Sirikonda; Saurabh Saini; PJ Narayanan; | arxiv-cs.CV | 2022-12-27 |
701 | Efficient Semantic Segmentation on Edge Devices Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this project, we developed a real-time UNet based model and deployed that network on Jetson AGX Xavier module. |
FARSHAD SAFAVI et. al. | arxiv-cs.CV | 2022-12-27 |
702 | Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes a method that performs path segmentation with semi-supervised learning methods. |
Ahmet Alp Kindiroglu; Metehan Yalçın; Furkan Burak Bağcı; Mahiye Uluyağmur Öztürk; | arxiv-cs.CV | 2022-12-26 |
703 | Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To improve the segmentation near object boundaries, we propose a boundary-aware feature propagation mechanism. |
Shenglan Du; Nail Ibrahimli; Jantien Stoter; Julian Kooij; Liangliang Nan; | arxiv-cs.CV | 2022-12-23 |
704 | DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Transformer-based models have been widely demonstrated to be successful in computer vision tasks by modelling long-range dependencies and capturing global representations. … |
FEILONG TANG et. al. | ArXiv | 2022-12-21 |
705 | Lightweight Monocular Depth Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The goal of our method is to create a lightweight machine-learning model in order to predict the depth value of each pixel given only a single RGB image as input with the Unet structure of the image segmentation network. |
Ruilin Ma; Shiyao Chen; Qin Zhang; | arxiv-cs.CV | 2022-12-21 |
706 | Image Segmentation-based Unsupervised Multiple Objects Discovery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unsupervised object discovery aims to localize objects in images, while removing the dependence on annotations required by most deep learning-based methods. To address this problem, we propose a fully unsupervised, bottom-up approach, for multiple objects discovery. |
Sandra Kara; Hejer Ammar; Florian Chabot; Quoc-Cuong Pham; | arxiv-cs.CV | 2022-12-20 |
707 | UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a Unified Domain Adaptive 3D semantic segmentation pipeline (UniDA3D) to enhance the weak generalization ability, and bridge the point distribution gap between domains. |
BEN FEI et. al. | arxiv-cs.CV | 2022-12-20 |
708 | DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Successful implementation of oil spill segmentation in synthetic aperture radar (SAR) images is vital for marine environmental protection. In this article, we develop an effective … |
Fang Chen; H. Balzter; Feixiang Zhou; Pengxin Ren; Huiyu Zhou; | IEEE Transactions on Geoscience and Remote Sensing | 2022-12-19 |
709 | Semantic Segmentation for Remote Sensing Images Based on An AD-HRNet Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation for remote sensing images faces challenges of unbalanced category weight, rich context causing difficulties of recognition, blurred boundaries of multi-scale … |
Xue Yang; Xiang Fan; Mingjun Peng; Qingfeng Guan; Luliang Tang; | International Journal of Digital Earth | 2022-12-19 |
710 | Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present IMAS, a method that segments the primary objects in videos without manual annotation in training or inference. |
Long Lian; Zhirong Wu; Stella X. Yu; | arxiv-cs.CV | 2022-12-17 |
711 | Annotation By Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel point-supervised contrastive variance method (PSCV) for medical image semantic segmentation, which only requires one pixel-point from each organ category to be annotated. |
Qing En; Yuhong Guo; | arxiv-cs.CV | 2022-12-16 |
712 | Lightweight Integration of 3D Features to Improve 2D Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we show that image segmentation can benefit from 3D geometric information without requiring a 3D groundtruth, by training the geometric feature extraction and the 2D segmentation network jointly, in an end-to-end fashion, using only the 2D segmentation loss. |
Olivier Pradelle; Raphaelle Chaine; David Wendland; Julie Digne; | arxiv-cs.CV | 2022-12-16 |
713 | SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Two ECS, i.e., ECS-MS and ECS-SS, are proposed and investigated in this study. |
Yuanzhi Cai; Lei Fan; Yuan Fang; | arxiv-cs.CV | 2022-12-15 |
714 | SBSS: Stacking-Based Semantic Segmentation Framework for Very High-Resolution Remote Sensing Image Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of very high-resolution (VHR) remote sensing images is a fundamental task for many applications. However, large variations in the scales of objects in those … |
Yuanzhi Cai; L. Fan; Yuan Fang; | IEEE Transactions on Geoscience and Remote Sensing | 2022-12-15 |
715 | Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we show that coarse annotation is a low-cost but highly effective alternative for training semantic segmentation models. |
Anurag Das; Yongqin Xian; Yang He; Zeynep Akata; Bernt Schiele; | arxiv-cs.CV | 2022-12-15 |
716 | Learning A Fast 3D Spectral Approach to Object Segmentation and Tracking Over Space and Time Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We pose video object segmentation as spectral graph clustering in space and time, with one graph node for each pixel and edges forming local space-time neighborhoods. |
Elena Burceanu; Marius Leordeanu; | arxiv-cs.CV | 2022-12-15 |
717 | MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To demonstrate the potential of MAELi, we pre-train backbones in an end-to-end manner and show the effectiveness of our unsupervised pre-trained weights on the tasks of 3D object detection and semantic segmentation. |
Georg Krispel; David Schinagl; Christian Fruhwirth-Reisinger; Horst Possegger; Horst Bischof; | arxiv-cs.CV | 2022-12-14 |
718 | Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As limited by the network’s inflexibility, fused features can only pass through a decoder network, which affects model performance due to insufficient depth. To alleviate these drawbacks, in this paper, we argue that despite its simplicity, projecting unidirectionally multi-view 2D deep semantic features into the 3D space aligned with 3D deep semantic features could lead to better feature fusion. |
CHAOLONG YANG et. al. | arxiv-cs.CV | 2022-12-13 |
719 | GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the Group Propagation Vision Transformer (GPViT): a novel nonhierarchical (i.e. non-pyramidal) transformer model designed for general visual recognition with high-resolution features. |
Chenhongyi Yang; Jiarui Xu; Shalini De Mello; Elliot J. Crowley; Xiaolong Wang; | arxiv-cs.CV | 2022-12-13 |
720 | ALSO: Automotive Lidar Self-supervision By Occupancy Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new self-supervised method for pre-training the backbone of deep perception models operating on point clouds. |
Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet; | arxiv-cs.CV | 2022-12-12 |
721 | DeepCut: Unsupervised Segmentation Using Graph Neural Networks Clustering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this approach reduces the high-dimensional information encoded in the features to pair-wise scalar affinities. To address this limitation, this study introduces a lightweight Graph Neural Network (GNN) to replace classical clustering methods while optimizing for the same clustering objective function. |
Amit Aflalo; Shai Bagon; Tamar Kashti; Yonina Eldar; | arxiv-cs.CV | 2022-12-12 |
722 | Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Nevertheless, the restricted resolution of 2D feature maps impedes accurate re-projection and often induces a pronounced boundary-blurring effect, which is primarily attributed to erroneous semantic segmentation. To well handle this limitation, we propose a general multi-modal fusion framework Multi-Sem Fusion (MSF) to fuse the semantic information from both the 2D image and 3D points scene parsing results. |
SHAOQING XU et. al. | arxiv-cs.CV | 2022-12-10 |
723 | MQANet: Multi-Task Quadruple Attention Network of Multi-Object Semantic Segmentation from Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-object semantic segmentation from remote sensing images has gained significant attention in land resource surveying, global change monitoring, and disaster detection. … |
YUXIA LI et. al. | Remote. Sens. | 2022-12-10 |
724 | Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Patch Aligned Contrastive Learning (PACL), a modified compatibility function for CLIP’s contrastive loss, intending to train an alignment between the patch tokens of the vision encoder and the CLS token of the text encoder. |
JISHNU MUKHOTI et. al. | arxiv-cs.CV | 2022-12-09 |
725 | Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, previous research tends to pay much attention to visual information yet ignores the multi-modal nature of videos. To fill this gap, we construct the Tencent `Ads Video Segmentation’~(TAVS) dataset in the ads domain to escalate multi-modal video analysis to a new level. |
JIE JIANG et. al. | arxiv-cs.CV | 2022-12-09 |
726 | Latent Graph Representations for Critical View of Safety Assessment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We show that our method not only outperforms several baseline methods when trained with bounding box annotations, but also scales effectively when trained with segmentation masks, maintaining state-of-the-art performance. |
ADITYA MURALI et. al. | arxiv-cs.CV | 2022-12-08 |
727 | Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of aggregating multiple scans to densify the point clouds, we propose a novel approach based on the self-attention mechanism to accurately perform sparse, single-scan segmentation. |
Matthias Zeller; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss; | arxiv-cs.CV | 2022-12-07 |
728 | Domain Generalization of 3D Semantic Segmentation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite its importance, domain generalization is relatively unexplored in the case of 3D autonomous driving semantic segmentation. To fill this gap, this paper presents the first benchmark for this application by testing state-of-the-art methods and discussing the difficulty of tackling Laser Imaging Detection and Ranging (LiDAR) domain shifts. |
Jules Sanchez; Jean-Emmanuel Deschaud; Francois Goulette; | arxiv-cs.CV | 2022-12-07 |
729 | Few-shot Medical Image Segmentation with Cycle-resemblance Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel self-supervised few-shot medical image segmentation network and introduce a novel Cycle-Resemblance Attention (CRA) module to fully leverage the pixel-wise relation between query and support medical images. |
Hao Ding; Changchang Sun; Hao Tang; Dawen Cai; Yan Yan; | arxiv-cs.CV | 2022-12-07 |
730 | CLD-Net: Complement Local Detail For Medical Small-Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has achieved outstanding performance in biomedical image segmentation. However, it still lacks attention to medical small-object segmentation scenarios, which is … |
RUI CHEN et. al. | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
731 | Multi-Scale Feature Aggregation Network for Semantic Segmentation of Land Cover Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Land cover semantic segmentation is an important technique in land. It is very practical in land resource protection planning, geographical classification, surveying and mapping … |
Xu Shen; L. Weng; Min Xia; Haifeng Lin; | Remote. Sens. | 2022-12-05 |
732 | Location-Aware Self-Supervised Transformers for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we pretrain network with a location-aware (LOCA) self-supervised method which fosters the emergence of strong dense features. |
Mathilde Caron; Neil Houlsby; Cordelia Schmid; | arxiv-cs.CV | 2022-12-05 |
733 | A Hyperspectral and RGB Dataset for Building Facade Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we investigated deep learning based semantic segmentation algorithms on RGB and hyperspectral images to classify various building materials, such as timber, brick and concrete. |
NARIMAN HABILI et. al. | arxiv-cs.CV | 2022-12-05 |
734 | SASFormer: Transformers for Sparsely Annotated Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a simple yet effective sparse annotated semantic segmentation framework based on segformer, dubbed SASFormer, that achieves remarkable performance. |
Hui Su; Yue Ye; Wei Hua; Lechao Cheng; Mingli Song; | arxiv-cs.CV | 2022-12-04 |
735 | CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Also, the previous data training of segmentation models may be inaccessible due to privacy problems. Therefore, to address these problems, in this work, we propose a Continual Unsupervised Domain Adaptation (CONDA) approach that allows the model to continuously learn and adapt with respect to the presence of the new data. |
Thanh-Dat Truong; Pierce Helton; Ahmed Moustafa; Jackson David Cothren; Khoa Luu; | arxiv-cs.CV | 2022-12-01 |
736 | Pedestrian Detection for Autonomous Cars: Inference Fusion of Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Network fusion has been recently explored as an approach for improving pedestrian detection performance. However, most existing fusion methods suffer from runtime efficiency, … |
M. Islam; vvAbdullah Al Redwan Newaz; A. Karimoddini; | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
737 | Multi-Class Segmentation from Aerial Views Using Recursive Noise Diffusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, aerial images present unique challenges such as diverse viewpoints, extreme scale variations, and high scene complexity. In this paper, we propose an end-to-end multi-class semantic segmentation diffusion model that addresses these challenges. |
Benedikt Kolbeinsson; Krystian Mikolajczyk; | arxiv-cs.CV | 2022-12-01 |
738 | 3D Segmentation of Humans in Point Clouds with Synthetic Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Few works have attempted to directly segment humans in cluttered 3D scenes, which is largely due to the lack of annotated training data of humans interacting with 3D scenes. We address this challenge and propose a framework for generating training data of synthetic humans interacting with real 3D scenes. |
AYÇA TAKMAZ et. al. | arxiv-cs.CV | 2022-12-01 |
739 | Light Transport Induced Domain Adaptation for Semantic Segmentation in Thermal Infrared Urban Scenes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in urban scenes is widely used in applications of intelligent transportation systems (ITS). In urban scenes, thermal infrared (TIR) images can be captured in … |
JUNZHANG CHEN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
740 | Geometry-Aware Network for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Geometry-Aware Network for Domain Adaptation (GANDA), leveraging more compact 3D geometric point cloud representations to shrink the domain gaps. |
YINGHONG LIAO et. al. | arxiv-cs.CV | 2022-12-01 |
741 | SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image fusion aims to integrate complementary information in source images to synthesize a fused image comprehensively characterizing the imaging scene. However, existing image … |
Linfeng Tang; Yuxin Deng; Yong Ma; Jun Huang; Jiayi Ma; | IEEE/CAA Journal of Automatica Sinica | 2022-12-01 |
742 | Unsupervised Domain Adaptation for Semantic Segmentation of Urban Street Scenes Reflected By Convex Mirrors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Reflective convex mirrors are often used on street corners or as passenger-side mirrors on cars to obtain scene information by reflecting blind spots in the field of view, which … |
Yongjie Shi; Xianghua Ying; H. Zha; | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
743 | Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a data-driven framework to automate the vectorization and machine interpretation of 2D engineering part drawings. |
WENTAI ZHANG et. al. | arxiv-cs.CV | 2022-12-01 |
744 | BANet: Boundary-Assistant Encoder-Decoder Network for Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, boundary information has gained great attraction for semantic segmentation. This paper presents a novel encoder-decoder network, called BANet, for accurate semantic … |
Quan Zhou; Yong Qiang; Yuwei Mo; Xiaofu Wu; Longin Jan Latecki; | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
745 | Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for contextual information extraction and decision making. Beyond modeling advances, the … |
K. MUHAMMAD et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
746 | Extracting Semantic Knowledge from GANs with Unsupervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel clustering algorithm, named KLiSH, which leverages the linear separability to cluster GAN’s features. |
Jianjin Xu; Zhaoxiang Zhang; Xiaolin Hu; | arxiv-cs.CV | 2022-11-29 |
747 | Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the data-hungry challenge, we have proposed a semi-supervised contrastive learning framework for the task of class-imbalanced semantic segmentation. |
Kangcheng Liu; | arxiv-cs.CV | 2022-11-27 |
748 | Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised image semantic segmentation(UISS) aims to match low-level visual features with semantic-level representations without outer supervision. In this paper, we address the … |
DAOAN ZHANG et. al. | ArXiv | 2022-11-26 |
749 | Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we leverage estimated depth to boost self-supervised contrastive learning for segmentation of urban scenes, where unlabeled videos are readily available for training self-supervised depth estimation. |
Liang Zeng; Attila Lengyel; Nergis Tömen; Jan van Gemert; | arxiv-cs.CV | 2022-11-25 |
750 | Peekaboo: Text to Image Diffusion Models Are Zero-Shot Segmentors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore how an off-the-shelf text-to-image diffusion model, trained without exposure to localization information, can ground various semantic phrases without segmentation-specific re-training. |
Ryan Burgert; Kanchana Ranasinghe; Xiang Li; Michael S. Ryoo; | arxiv-cs.CV | 2022-11-23 |
751 | Satellite Remote Sensing Identification of Discolored Standing Trees for Pine Wilt Disease Based on Semi-Supervised Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Pine wilt disease (PWD) is the most dangerous biohazard of pine species and poses a serious threat to forest resources. Coupling satellite remote sensing technology and deep … |
JIAHAO WANG et. al. | Remote. Sens. | 2022-11-23 |
752 | EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce the EurNet for Efficient multi-range relational modeling. |
MINGHAO XU et. al. | arxiv-cs.LG | 2022-11-23 |
753 | One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An active weakly supervised framework is proposed to leverage scarce labels by involving weak supervision from global and local perspectives. |
Puzuo Wang; Wei Yao; Jie Shao; | arxiv-cs.CV | 2022-11-22 |
754 | ONeRF: Unsupervised 3D Object Segmentation from Multiple Views Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present ONeRF, a method that automatically segments and reconstructs object instances in 3D from multi-view RGB images without any additional manual annotations. |
Shengnan Liang; Yichen Liu; Shangzhe Wu; Yu-Wing Tai; Chi-Keung Tang; | arxiv-cs.CV | 2022-11-22 |
755 | Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, recent studies show that these strong results in broad and common domains may generalize poorly even to specific industrial applications on earth. To address this, we propose a method for generating synthetic image data that are labelled for semantic segmentation, generalizable to other tasks, and provide a prototype synthetic image dataset consisting of 2D monocular images of unmanned spacecraft, in order to enable further research in the area of autonomous spacecraft rendezvous. |
William S. Armstrong; Spencer Drakontaidis; Nicholas Lui; | arxiv-cs.CV | 2022-11-21 |
756 | Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we pioneer the investigation of Semantic Segmentation under Optical Aberrations (SSOA) with MOS. |
QI JIANG et. al. | arxiv-cs.CV | 2022-11-21 |
757 | Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving Under Adverse Weather Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As such, we propose a doubly contrastive approach to improve the performance of a more practical lightweight model for self-driving, specifically under adverse weather conditions such as fog, nighttime, rain and snow. |
Jongoh Jeong; Jong-Hwan Kim; | arxiv-cs.CV | 2022-11-20 |
758 | Improving Pixel-Level Contrastive Learning By Leveraging Exogenous Depth Information Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we will focus on the depth information, which can be obtained by using a depth estimation network or measured from available data (stereovision, parallax motion, LiDAR, etc.). |
AHMED BEN SAAD et. al. | arxiv-cs.CV | 2022-11-18 |
759 | A Morphological Post-Processing Approach for Overlapped Segmentation of Bacterial Cell Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scanning electron microscopy (SEM) techniques have been extensively performed to image and study bacterial cells with high-resolution images. Bacterial image segmentation in SEM … |
Dilanga L. B. Abeyrathna; Shailabh Rauniyar; R. Sani; Pei-Chi Huang; | Mach. Learn. Knowl. Extr. | 2022-11-17 |
760 | Interclass Prototype Relation for Few-Shot Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes the Interclass Prototype Relation Network (IPRNet), which improves the separation performance by reducing the similarity between other classes. |
Atsuro Okazawa; | arxiv-cs.CV | 2022-11-16 |
761 | Robust Online Video Instance Segmentation with Track Queries Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This makes them incapable of handling the long videos that appear in challenging new video instance segmentation datasets like UVO and OVIS. We propose a fully online transformer-based video instance segmentation model that performs comparably to top offline methods on the YouTube-VIS 2019 benchmark and considerably outperforms them on UVO and OVIS. |
Zitong Zhan; Daniel McKee; Svetlana Lazebnik; | arxiv-cs.CV | 2022-11-16 |
762 | Backdoor Attacks for Remote Sensing Data with Wavelet Transform Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we provide a systematic analysis of backdoor attacks for remote sensing data, where both scene classification and semantic segmentation tasks are considered. |
Nikolaus Dräger; Yonghao Xu; Pedram Ghamisi; | arxiv-cs.CV | 2022-11-15 |
763 | E-MPSPNet: Ice-Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Distinguishing sea ice and water is crucial for safe navigation and carrying out offshore activities in ice zones. However, due to the complexity and dynamics of the ice–water … |
Wei Song; Hongtao Li; Qi He; G. Gao; A. Liotta; | Remote. Sens. | 2022-11-14 |
764 | Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a … |
Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing‐Long Han; | ArXiv | 2022-11-13 |
765 | Gaussian Dynamic Convolution for Semantic Segmentation in Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Different scales of the objects pose a great challenge for the segmentation of remote sensing images of special scenes. This paper focuses on the problem of large-scale variations … |
Min Feng; Xin Sun; Junyu Dong; Haoran Zhao; | Remote. Sens. | 2022-11-13 |
766 | A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: So in this study, we proposed two datasets for benchmarking OOD detection in 3D semantic segmentation. |
Lokesh Veeramacheneni; Matias Valdenegro-Toro; | arxiv-cs.CV | 2022-11-11 |
767 | LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose LiDAL, a novel active learning method for 3D LiDAR semantic segmentation by exploiting inter-frame uncertainty among LiDAR frames. |
ZEYU HU et. al. | arxiv-cs.CV | 2022-11-10 |
768 | High-Quality Entity Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Given the high-quality and -resolution nature of the dataset, we propose CropFormer which is designed to tackle the intractability of instance-level segmentation on high-resolution images. |
LU QI et. al. | arxiv-cs.CV | 2022-11-10 |
769 | Unsupervised Multi-Object Segmentation By Predicting Probable Motion Patterns IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new approach to learn to segment multiple image objects without manual supervision. |
Laurynas Karazija; Subhabrata Choudhury; Iro Laina; Christian Rupprecht; Andrea Vedaldi; | nips | 2022-11-06 |
770 | Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present radiance field propagation (RFP), a novel approach to segmenting objects in 3D during reconstruction given only unlabeled multi-view images of a scene. |
Xinhang Liu; Jiaben Chen; Huai Yu; Yu-Wing Tai; Chi-Keung Tang; | nips | 2022-11-06 |
771 | Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: What is missing are structural insights into the uncertainty, which would be desirable for interpretability and systematic adjustments. In the context of state-of-the-art stochastic segmentation networks (SSNs), we solve this issue by dismantling the overall predicted uncertainty into smaller uncertainty components. |
Jakob Gawlikowski; Frank Nussbaum; Julia Niebling; | nips | 2022-11-06 |
772 | OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike all existing methods which usually require a large amount of human annotations for full supervision, we propose the first unsupervised method, called OGC, to simultaneously identify multiple 3D objects in a single forward pass, without needing any type of human annotations. |
Ziyang Song; Bo Yang; | nips | 2022-11-06 |
773 | Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The original CAM method usually produces incomplete and inaccurate localization maps. To tackle with this issue, this paper proposes an Expansion and Shrinkage scheme based on the offset learning in the deformable convolution, to sequentially improve the \textbf{recall} and \textbf{precision} of the located object in the two respective stages. |
JINLONG LI; Zequn Jie; Xu Wang; Xiaolin Wei; Lin Ma; | nips | 2022-11-06 |
774 | MultiScan: Scalable RGBD Scanning for 3D Environments with Articulated Objects Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce MultiScan, a scalable RGBD dataset construction pipeline leveraging commodity mobile devices to scan indoor scenes with articulated objects and web-based semantic annotation interfaces to efficiently annotate object and part semantics and part mobility parameters. |
Yongsen Mao; Yiming Zhang; Hanxiao Jiang; Angel Chang; Manolis Savva; | nips | 2022-11-06 |
775 | Self-Supervised Visual Representation Learning with Semantic Grouping IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead, we propose contrastive learning from data-driven semantic slots, namely SlotCon, for joint semantic grouping and representation learning. |
Xin Wen; Bingchen Zhao; Anlin Zheng; Xiangyu Zhang; Xiaojuan Qi; | nips | 2022-11-06 |
776 | Weak-shot Semantic Segmentation Via Dual Similarity Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we focus on the problem named weak-shot semantic segmentation, where the novel classes are learnt from cheaper image-level labels with the support of base classes having off-the-shelf pixel-level labels. |
JUNJIE CHEN et. al. | nips | 2022-11-06 |
777 | Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel adversarial style augmentation approach for domain generalization in semantic segmentation, which is easy to implement and can effectively improve the model performance on unseen real domains. |
Zhun Zhong; Yuyang Zhao; Gim Hee Lee; Nicu Sebe; | nips | 2022-11-06 |
778 | Semantic Difference Convolution for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an efficient boundary-aware convolution operator to boost the boundary modeling capacity for semantic segmentation, named Semantic Difference Convolution (SDC). |
Haoru Tan; Sitong Wu; Jimin Pi; | nips | 2022-11-06 |
779 | Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By training more than 200 models, we demonstrate that current unsupervised methods cannot segment generic objects from real-world single images, unless the complex objectness biases are removed. |
Yafei YANG; Bo Yang; | nips | 2022-11-06 |
780 | Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel 2D-3D joint framework for learning 2D and 3D weakly supervised semantic segmentation using image- and scene-level classification labels only. |
Hyeokjun Kweon; Kuk-Jin Yoon; | nips | 2022-11-06 |
781 | Analysing The Effectiveness of A Generative Model for Semi-supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In such settings, semi-supervised learning (SSL) attempts to leverage the abundance of unlabelled data to obtain more robust and reliable models. Recently, generative models have been proposed for semantic segmentation, as they make an attractive choice for SSL. |
Margherita Rosnati; Fabio De Sousa Ribeiro; Miguel Monteiro; Daniel Coelho de Castro; Ben Glocker; | arxiv-cs.CV | 2022-11-03 |
782 | Quantifying Model Uncertainty for Semantic Segmentation Using Operators in The RKHS Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a simple framework for high-resolution predictive uncertainty quantification of semantic segmentation models that leverages a multi-moment functional definition of uncertainty associated with the model’s feature space in the reproducing kernel Hilbert space (RKHS). |
Rishabh Singh; Jose C. Principe; | arxiv-cs.CV | 2022-11-03 |
783 | Hypergraph Convolutional Network Based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel weighted hypergraph convolutional network-based method, called WHCN, to confront the challenges of learning point-wise labels from scene-level annotations. |
Zhuheng Lu; Peng Zhang; Yuewei Dai; Weiqing Li; Zhiyong Su; | arxiv-cs.CV | 2022-11-02 |
784 | Deep-Separation Guided Progressive Reconstruction Network for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success of deep learning and the segmentation of remote sensing images (RSIs) has improved semantic segmentation in recent years. However, existing RSI segmentation methods … |
Jiabao Ma; Wujie Zhou; Xiaolin Qian; Lu Yu; | Remote. Sens. | 2022-11-01 |
785 | Multiscale Lightweight 3D Segmentation Algorithm with Attention Mechanism: Brain Tumor Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hengxin Liu; Guoqiang Huo; Qiang Li; Xin Guan; M. Tseng; | Expert Syst. Appl. | 2022-11-01 |
786 | SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, considerable progress has been made in semantic segmentation of images with favorable environments. However, the environmental perception of autonomous driving … |
HAI WANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-11-01 |
787 | UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As one of the fundamental technologies for scene understanding, semantic segmentation has been widely explored in the last few years. Light field cameras encode the geometric … |
HAO SHENG et. al. | IEEE Transactions on Circuits and Systems for Video … | 2022-11-01 |
788 | Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes a new WSSS method dubbed ViT-PCM (ViT Patch-Class Mapping), not based on CAM. |
Simone Rossetti; Damiano Zappia; Marta Sanzari; Marco Schaerf; Fiora Pirri; | arxiv-cs.CV | 2022-10-31 |
789 | Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we tackle the few-shot segmentation using a self-regularized prototypical network (SRPNet) based on prototype extraction for better utilization of the support information. |
Henghui Ding; Hui Zhang; Xudong Jiang; | arxiv-cs.CV | 2022-10-30 |
790 | Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Classification, Reconstruction, and Tracking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate and robust tracking and reconstruction of the surgical scene is a critical enabling technology toward autonomous robotic surgery. Existing algorithms for 3D perception in … |
SHAN LIN et. al. | ArXiv | 2022-10-29 |
791 | Weakly Supervised Pavement Crack Semantic Segmentation Based on Multi-scale Object Localization and Incremental Annotation Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zaid Al-Huda; Bo Peng; Riyadh Nazar Ali Algburi; Saghir Alfasly; Tianrui Li; | Applied Intelligence | 2022-10-27 |
792 | Accelerating Diffusion Models Via Pre-segmentation Diffusion Sampling for Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise … |
XUTAO GUO et. al. | ArXiv | 2022-10-27 |
793 | Fast and Efficient Scene Categorization for Autonomous Driving Using VAEs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to generate a fast and efficient intermediate interpretable generalized global descriptor that captures coarse features from the image and use a classification head to map the descriptors to 3 scene categories: Rural, Urban and Suburban. |
Saravanabalagi Ramachandran; Jonathan Horgan; Ganesh Sistu; John McDonald; | arxiv-cs.CV | 2022-10-26 |
794 | RGB-T Semantic Segmentation with Location, Activation, and Sharpening IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel feature fusion-based network for RGB-T semantic segmentation, named \emph{LASNet}, which follows three steps of location, activation, and sharpening. |
Gongyang Li; Yike Wang; Zhi Liu; Xinpeng Zhang; Dan Zeng; | arxiv-cs.CV | 2022-10-26 |
795 | From Colouring-in to Pointillism: Revisiting Semantic Segmentation Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we propose instead a pointillist approach for semantic segmentation annotation, where only point-wise yes/no questions are answered. |
Rodrigo Benenson; Vittorio Ferrari; | arxiv-cs.CV | 2022-10-25 |
796 | Domain Generalization in Medical Image Segmentation Via Meta-Learners Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic and semi-automatic radiological image segmentation can help physicians in the processing of real-world medical data for several tasks such as detection/diagnosis of … |
H. Oliveira; R. M. Cesar; P. H. T. Gama; J. D. Santos; | 2022 35th SIBGRAPI Conference on Graphics, Patterns and … | 2022-10-24 |
797 | SLAMs: Semantic Learning Based Activation Map for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel semantic learning based framework, named SLAMs (Semantic Learning based Activation Map), for WSSS. |
Junliang Chen; Xiaodong Zhao; Minmin Liu; Linlin Shen; | arxiv-cs.CV | 2022-10-22 |
798 | A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: A key algorithm for understanding the world is material segmentation, which assigns a label (metal, glass, etc.) to each pixel. We find that a model trained on existing data underperforms in some settings and propose to address this with a large-scale dataset of 3.2 million dense segments on 44,560 indoor and outdoor images, which is 23x more segments than existing data. |
Paul Upchurch; Ransen Niu; | eccv | 2022-10-19 |
799 | HM: Hybrid Masking for Few-Shot Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we develop a simple, effective, and efficient approach to enhance feature masking (FM). |
SEONGHYEON MOON et. al. | eccv | 2022-10-19 |
800 | PseudoClick: Interactive Image Segmentation with Click Imitation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose PseudoClick, a generic framework that enables existing segmentation networks to propose candidate next clicks. |
QIN LIU et. al. | eccv | 2022-10-19 |
801 | 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new approach to instill 4D dynamic object priors into learned 3D representations by unsupervised pre-training. |
Yujin Chen; ner Matthias Nieß Angela Dai; | eccv | 2022-10-19 |
802 | LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, we leverage geometry patterns in outdoor scenes to have a heuristic pre-segmentation to reduce the manual labeling and jointly design the learning targets with the labeling process. |
MINGHUA LIU et. al. | eccv | 2022-10-19 |
803 | Drive\&Segment: Unsupervised Semantic Segmentation of Urban Scenes Via Cross-Modal Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work investigates learning pixel-wise semantic image segmentation in urban scenes without any manual annotation, just from the raw non-curated data collected by cars which, equipped with cameras and LiDAR sensors, drive around a city. |
ANTONIN VOBECKY et. al. | eccv | 2022-10-19 |
804 | Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a few-shot segmentation model that employs anatomical auxiliary information from medical images without target classes for dual contrastive learning. |
Huisi Wu; Fangyan Xiao; Chongxin Liang; | eccv | 2022-10-19 |
805 | Improving DNN Fault Tolerance in Semantic Segmentation Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of images is essential for autonomous driving and modern DNNs now achieve high accuracy. Automotive systems must comply with safety standards, requiring … |
Stéphane Burel; A. Evans; L. Anghel; | 2022 IEEE International Symposium on Defect and Fault … | 2022-10-19 |
806 | Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a target domain. |
Geon Lee; Chanho Eom; Wonkyung Lee; Hyekang Park; Bumsub Ham; | eccv | 2022-10-19 |
807 | Language-Grounded Indoor 3D Semantic Segmentation in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This large number of class categories also induces a large natural class imbalance, both of which are challenging for existing 3D semantic segmentation methods. To learn more robust 3D features in this context, we propose a language-driven pre-training method to encourage learned 3D features that might have limited training examples to lie close to their pre-trained text embeddings. |
vid Rozenberszki Dá Or Litany; Angela Dai; | eccv | 2022-10-19 |
808 | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose an effective and efficient segmentation attack method, dubbed SegPGD. |
Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip H. S. Torr; | eccv | 2022-10-19 |
809 | Object Discovery and Representation Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, by introducing hand-crafted image segmentations to define regions of interest, or specialized augmentation strategies, these methods sacrifice the simplicity and generality that makes SSL so powerful. Instead, we propose a self-supervised learning paradigm that discovers this image structure by itself. |
NAFF OLIVIER J. H&EACUTE et. al. | eccv | 2022-10-19 |
810 | ESS: Learning Event-Based Semantic Segmentation from Still Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce ESS (Event-based Semantic Segmentation), which tackles this problem by directly transferring the semantic segmentation task from existing labeled image datasets to unlabeled events via unsupervised domain adaptation (UDA). |
Zhaoning Sun; Nico Messikommer; Daniel Gehrig; Davide Scaramuzza; | eccv | 2022-10-19 |
811 | Waymo Open Dataset: Panoramic Video Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We therefore present the Waymo Open Dataset: Panoramic Video Panoptic Segmentation dataset, a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving. |
JIERU MEI et. al. | eccv | 2022-10-19 |
812 | Generalizable Medical Image Segmentation Via Random Amplitude Mixup and Domain-Specific Image Restoration IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we present a novel generalizable medical image segmentation method. |
Ziqi Zhou; Lei Qi; Yinghuan Shi; | eccv | 2022-10-19 |
813 | Robust Visual Tracking By Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a segmentation-centric tracking pipeline that not only produces a highly accurate segmentation mask, but also internally works with segmentation masks instead of bounding boxes. |
Matthieu Paul; Martin Danelljan; Christoph Mayer; Luc Van Gool; | eccv | 2022-10-19 |
814 | Open-World Semantic Segmentation for LIDAR Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a REdundAncy cLassifier (REAL) framework to provide a general architecture for both open-set semantic segmentation and incremental learning. |
JUN CEN et. al. | eccv | 2022-10-19 |
815 | TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, it is hard to meet this demand by directly deploying data-driven algorithms, since 3D tabletop scenes are rarely available in current datasets. To remedy this defect, we introduce TO-Scene, a large-scale dataset focusing on tabletop scenes, which contains 20,740 scenes with three variants. |
Mutian Xu; Pei Chen; Haolin Liu; Xiaoguang Han; | eccv | 2022-10-19 |
816 | Background-Insensitive Scene Text Recognition with Text Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Background-Insensitive approach BINet by explicitly leveraging the text Semantic Segmentation (SSN) to extract texts more accurately. |
Liang Zhao; Zhenyao Wu; Xinyi Wu; Greg Wilsbacher; Song Wang; | eccv | 2022-10-19 |
817 | Cross-Domain Few-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we extend few-shot semantic segmentation to a new task, called Cross-Domain Few-Shot Semantic Segmentation (CD-FSS), which aims to generalize the meta-knowledge from domains with sufficient training labels to low-resource domains. |
SHUO LEI et. al. | eccv | 2022-10-19 |
818 | Scaling Open-Vocabulary Image Segmentation with Image-Level Labels IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We argue that these models miss an important step of visual grouping, which organizes pixels into groups before learning visual-semantic alignments. We propose OpenSeg to address the above issue while still making use of scalable image-level supervision of captions. |
Golnaz Ghiasi; Xiuye Gu; Yin Cui; Tsung-Yi Lin; | eccv | 2022-10-19 |
819 | CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a pixel-wise contrastive learning method called CP2 (Copy-Paste Contrastive Pretraining), which facilitates both image- and pixel-level representation learning and therefore is more suitable for downstream dense prediction tasks. |
Feng Wang; Huiyu Wang; Chen Wei; Alan Yuille; Wei Shen; | eccv | 2022-10-19 |
820 | 3D Compositional Zero-Shot Learning with DeCompositional Consensus IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a solution, we propose DeCompositional Consensus, which combines a part segmentation network with a part scoring network. |
Muhammad Ferjad Naeem; rnek Evin P?nar Ö Yongqin Xian; Luc Van Gool; Federico Tombari; | eccv | 2022-10-19 |
821 | TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose the first top-down unsupervised semantic segmentation framework for fine-grained segmentation in extremely complicated scenarios. |
ZHAOYUAN YIN et. al. | eccv | 2022-10-19 |
822 | RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: On the other hand, in a typical image or video, only a few categories, i.e., a small subset of the complete label are present. Motivated by this intuition, in this paper, we propose to decompose segmentation into two sub-problems: (i) image-level or video-level multi-label classification and (ii) pixel-level rank-adaptive selected-label classification. |
Haodi He; Yuhui Yuan; Xiangyu Yue; Han Hu; | eccv | 2022-10-19 |
823 | Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper introduces an effective approach to tackle the 3D scene understanding problem when labeled scenes are limited. |
Kangcheng Liu; Yuzhi Zhao; Qiang Nie; Zhi Gao; Ben M. Chen; | eccv | 2022-10-19 |
824 | Segmentation-free Direct Iris Localization Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an efficient iris localization method without using iris segmentation and circle fitting. |
Takahiro Toizumi; Koichi Takahashi; Masato Tsukada; | arxiv-cs.CV | 2022-10-19 |
825 | GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel two-stage Geometry PrIor-based Transformation framework named GitNet, consisting of (i) the geometry-guided pre-alignment and (ii) ray-based transformer. |
SHI GONG et. al. | eccv | 2022-10-19 |
826 | Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of learning a single prototype for each class, in this paper, we propose to use an adaptive number of prototypes to dynamically describe the different point patterns within a semantic class. |
YANGHENG ZHAO et. al. | arxiv-cs.CV | 2022-10-18 |
827 | Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities. |
Simon Bultmann; Jan Quenzel; Sven Behnke; | arxiv-cs.CV | 2022-10-18 |
828 | Intra-Source Style Augmentation for Improved Domain Generalization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The generalization with respect to domain shifts, as they frequently appear in applications such as autonomous driving, is one of the remaining big challenges for deep learning models. Therefore, we propose an intra-source style augmentation (ISSA) method to improve domain generalization in semantic segmentation. |
Yumeng Li; Dan Zhang; Margret Keuper; Anna Khoreva; | arxiv-cs.CV | 2022-10-18 |
829 | A Survey on Medical Image Segmentation Based on Deep Learning Techniques IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep … |
Jayashree Moorthy; U. Gandhi; | Big Data Cogn. Comput. | 2022-10-17 |
830 | Heterogeneous Feature Distillation Network for SAR Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, SAR images are generally more difficult to be segmented than their EO (Electro-Optical) counterparts, since speckle noises and layovers are inevitably involved in SAR images. To address this problem, we investigate how to introduce EO features to assist the training of a SAR-segmentation model, and propose a heterogeneous feature distillation network for segmenting SAR images, called HFD-Net, where a SAR-segmentation student model gains knowledge from a pre-trained EO-segmentation teacher model. |
Gao Mengyu; Dong Qiulei; | arxiv-cs.CV | 2022-10-17 |
831 | EISeg: An Efficient Interactive Segmentation Tool Based on PaddlePaddle Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce EISeg, an Efficient Interactive SEGmentation annotation tool that can drastically improve image segmentation annotation efficiency, generating highly accurate segmentation masks with only a few clicks. |
YUYING HAO et. al. | arxiv-cs.CV | 2022-10-17 |
832 | Maskformer with Improved Encoder-Decoder Module for Semantic Segmentation of Fine-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In 2021, the Transformer based models have demonstrated extraordinary achievement in the field of computer vision. Among which, Maskformer, a Transformer based model adopting the … |
Zhuoxuan Li; Junli Yang; Bin Wang; Yaqi Li; Ting Pan; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
833 | Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ubiquitous accumulation of large volumes of data, and increased availability of annotated medical data in particular, has made it possible to show the many and varied benefits of … |
Ziyang Wang; Nanqing Dong; I. Voiculescu; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
834 | Semantic Segmentation with Active Semi-Supervised Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we endeavor to overcome this problem with a novel algorithm that combines semi-supervised and active learning, resulting in the ability to train an effective semantic segmentation algorithm with significantly lesser labeled data. To do this, we extend the prior state-of-the-art S4AL algorithm by replacing its mean teacher approach for semi-supervised learning with a self-training approach that improves learning with noisy labels. |
Aneesh Rangnekar; Christopher Kanan; Matthew Hoffman; | arxiv-cs.CV | 2022-10-15 |
835 | Multi-Feature Aggregation for Semantic Segmentation of An Urban Scene Point Cloud Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of cities, semantic segmentation of urban scenes, as an important and effective imaging method, can accurately obtain the distribution information of … |
Jiaqing Chen; Yindi Zhao; Congtang Meng; Yang Liu; | Remote. Sens. | 2022-10-14 |
836 | MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel solution with a multi-task network that performs monocular depth estimation and video panoptic segmentation. |
Andra Petrovai; Sergiu Nedevschi; | arxiv-cs.CV | 2022-10-14 |
837 | Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input images to avoid labeling costs and further produce pseudo masks for the downstream task. |
PINGYI CHEN et. al. | arxiv-cs.CV | 2022-10-14 |
838 | Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work demonstrates the possibilities of using physics-based rendering for labeled image dataset generation, as well as image-to-image translation capabilities to improve the accuracy of real image segmentation for AM systems. |
Aliaksei Petsiuk; Harnoor Singh; Himanshu Dadhwal; Joshua M. Pearce; | arxiv-cs.CV | 2022-10-13 |
839 | Hierarchical Instance Mixing Across Domains in Aerial Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the task of unsupervised domain adaptation in aerial semantic segmentation and discover that the current state-of-the-art algorithms designed for autonomous driving based on domain mixing do not translate well to the aerial setting. This is due to two factors: (i) a large disparity in the extension of the semantic categories, which causes a domain imbalance in the mixed image, and (ii) a weaker structural consistency in aerial scenes than in driving scenes since the same scene might be viewed from different perspectives and there is no well-defined and repeatable structure of the semantic elements in the images. |
Edoardo Arnaudo; Antonio Tavera; Fabrizio Dominici; Carlo Masone; Barbara Caputo; | arxiv-cs.CV | 2022-10-12 |
840 | Image Segmentation Semantic Communication Over Internet of Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, the problem of semantic-based efficient image transmission is studied over the Internet of Vehicles (IoV). |
QIANG PAN et. al. | arxiv-cs.NI | 2022-10-11 |
841 | Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models require a lot of densely annotated images. To address this problem, we propose a new algorithm that uses HyperGraph Convolutional Networks for Weakly-supervised Semantic Segmentation (HyperGCN-WSS). |
Jhony H. Giraldo; Vincenzo Scarrica; Antonino Staiano; Francesco Camastra; Thierry Bouwmans; | arxiv-cs.CV | 2022-10-11 |
842 | TriangleNet: Edge Prior Augmented Network for Semantic Segmentation Through Cross-Task Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, implicit cross-task consistency learning in multi-task networks is limited. To address this, we propose a novel decoupled cross-task consistency loss that explicitly enhances cross-task consistency. |
Dan Zhang; Rui Zheng; Luosang Gadeng; Pei Yang; | arxiv-cs.CV | 2022-10-11 |
843 | CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose CLIP-Fields, an implicit scene model that can be used for a variety of tasks, such as segmentation, instance identification, semantic search over space, and view localization. |
Nur Muhammad Mahi Shafiullah; Chris Paxton; Lerrel Pinto; Soumith Chintala; Arthur Szlam; | arxiv-cs.RO | 2022-10-11 |
844 | Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a deep reinforcement learning method of progressive view inpainting for colored semantic point cloud scene completion under volume guidance, achieving high-quality scene reconstruction from only a single RGB-D image with severe occlusion. |
ZHAOXUAN ZHANG et. al. | arxiv-cs.CV | 2022-10-11 |
845 | LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene Via Local Adaptive and Comprehensive VLAD Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To capture local and global information effectively, we propose an end-to-end deep neural network called LACV-Net for large-scale point cloud semantic segmentation. |
ZIYIN ZENG et. al. | arxiv-cs.CV | 2022-10-11 |
846 | Semi-supervised Semantic Segmentation Via Prototypical Contrastive Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The key idea of semi-supervised semantic segmentation is to leverage both labeled and unlabeled data. To achieve the goal, most existing methods resort to pseudo-labels for … |
Zenggui Chen; Z. Lian; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
847 | Boat in The Sky: Background Decoupling and Object-aware Pooling for Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Previous image-level weakly-supervised semantic segmentation methods based on Class Activation Map (CAM) have two limitations: 1) focusing on partial discriminative foreground … |
JIANJUN XU et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
848 | PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation tasks often have multiple output hypotheses for a single input image. Particularly in medical images, these ambiguities arise from unclear object boundaries … |
Wei Zhang; Xiaohong Zhang; Sheng Huang; Yuting Lu; Kun Wang; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
849 | SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Data-driven single image deraining (SID) models have achieved greater progress by simulations, but there is still a large gap between current deraining performance and practical … |
YANYAN WEI et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
850 | A Real-time Semantic Segmentation Method for Autonomous Driving in Surface Mine Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation for perception of autonomous vehicles has made great progress with the development of deep learning technique. However, existing related studies mainly focus … |
Qinggong Wei; Ruiqi Song; Xue Yang; Yunfeng Ai; | 2022 IEEE 25th International Conference on Intelligent … | 2022-10-08 |
851 | Mask3D: Mask Transformer for 3D Semantic Instance Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Building on the successes of recent Transformer-based methods for object detection and image segmentation, we propose the first Transformer-based approach for 3D semantic instance segmentation. |
JONAS SCHULT et. al. | arxiv-cs.CV | 2022-10-06 |
852 | WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For scenarios where weak supervision and cross-domain problems coexist, this paper defines a new task: unsupervised domain adaptation based on weak source domain labels (WUDA). To explore solutions for this task, this paper proposes two intuitive frameworks: 1) Perform weakly supervised semantic segmentation in the source domain, and then implement unsupervised domain adaptation; 2) Train an object detection model using source domain data, then detect objects in the target domain and implement weakly supervised semantic segmentation. |
Shengjie Liu; Chuang Zhu; Wenqi Tang; | arxiv-cs.CV | 2022-10-05 |
853 | Self-supervised Pre-training for Semantic Segmentation in An Indoor Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose RegConsist, a method for self-supervised pre-training of a semantic segmentation model, exploiting the ability of the agent to move and register multiple views in the novel environment. |
Sulabh Shrestha; Yimeng Li; Jana Kosecka; | arxiv-cs.CV | 2022-10-04 |
854 | FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. |
Bruno Berenguel-Baeta; Jesus Bermudez-Cameo; Jose J. Guerrero; | arxiv-cs.CV | 2022-10-04 |
855 | FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions from Single Panoramas Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal … |
Bruno Berenguel-Baeta; J. Bermudez-Cameo; J. J. Guerrero; | 2023 IEEE International Conference on Robotics and … | 2022-10-04 |
856 | Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we address multi-target domain adaptation (MTDA) in semantic segmentation, which consists in adapting a single model from an annotated source dataset to multiple unannotated target datasets that differ in their underlying data distributions. |
Yangsong Zhang; Subhankar Roy; Hongtao Lu; Elisa Ricci; Stéphane Lathuilière; | arxiv-cs.CV | 2022-10-04 |
857 | GaIA: Graphical Information Gain Based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While point cloud semantic segmentation is a significant task in 3D scene understanding, this task demands a time-consuming process of fully annotating labels. To address this … |
Min Seok Lee; Seok Woo Yang; S. Han; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2022-10-02 |
858 | NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a two-stage framework to design our NAS-based RSPNet model for light-weight semantic segmentation. |
Yi-Chun Wang; Jun-Wei Hsieh; Ming-Ching Chang; | arxiv-cs.CV | 2022-10-02 |
859 | Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
IMRAN QURESHI et. al. | Inf. Fusion | 2022-10-01 |
860 | Swin-T-NFC CRFs: An Encoder-decoder Neural Model for High-precision UAV Positioning Via Point Cloud Super Resolution and Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
SUHONG WANG et. al. | Comput. Commun. | 2022-10-01 |
861 | Multi-Modal Feature Fusion Network with Adaptive Center Point Detector for Building Instance Extraction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Building information extraction utilizing remote sensing technology has vital applications in many domains, such as urban planning, cadastral mapping, geographic information … |
Q. Yuan; H. Shafri; | Remote. Sens. | 2022-10-01 |
862 | Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation plays a critical role in scene understanding for self-driving vehicles. A line of efforts has proven that global context matters in urban scene segmentation … |
QUAN TANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-10-01 |
863 | Semantic Segmentation Guided Coarse-to-Fine Detection of Individual Trees from MLS Point Clouds Based on Treetop Points Extraction and Radius Expansion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Urban trees are vital elements of outdoor scenes via mobile laser scanning (MLS), accurate individual trees detection from disordered, discrete, and high-density MLS is an … |
X. NING et. al. | Remote. Sens. | 2022-10-01 |
864 | Research on Ground Object Classification Method of High Resolution Remote-Sensing Images Based on Improved DeeplabV3+ Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ground-object classification using remote-sensing images of high resolution is widely used in land planning, ecological monitoring, and resource protection. Traditional image … |
JUNJIE FU et. al. | Sensors (Basel, Switzerland) | 2022-10-01 |
865 | A Deep Learning Based Framework for Remote Sensing Image Ground Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xingjun Dong; Changsheng Zhang; Lei Fang; Yuxiao Yan; | Appl. Soft Comput. | 2022-10-01 |
866 | Remote Sensing Scene Graph and Knowledge Graph Matching with Parallel Walking Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In deep neural network model training and prediction, due to the limitation of GPU memory and computing resources, massive image data must be cropped into limited-sized samples. … |
WEIWEN CUI et. al. | Remote. Sens. | 2022-09-29 |
867 | FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we use natural language as supervision without any pixel-level annotation for open world segmentation. |
Yi Li; Huifeng Yao; Hualiang Wang; Xiaomeng Li; | arxiv-cs.CV | 2022-09-27 |
868 | Deep Learning Based Semantic Image Segmentation Methods for Classification of Web Page Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is the task of clustering together parts of an image that belong to the same object class. Semantic segmentation of webpages is important for inferring … |
Ramya Krishna Manugunta; R. Maskeliūnas; R. Damaševičius; | Future Internet | 2022-09-27 |
869 | PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, our quantative and qualitative studies have found that Random Sampling may be less suitable for the autonomous driving scenario, since the LiDAR points follow an uneven or even long-tailed distribution across the space, which prevents the model from capturing sufficient information from points in different distance ranges and reduces the model’s learning capability. To alleviate this problem, we propose a new Polar Cylinder Balanced Random Sampling method that enables the downsampled point clouds to maintain a more balanced distribution and improve the segmentation performance under different spatial distributions. |
XianFeng Han; Huixian Cheng; Hang Jiang; Dehong He; Guoqiang Xiao; | arxiv-cs.CV | 2022-09-27 |
870 | ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce ERASE-Net, an Efficient RAdar SEgmentation Network to segment the raw radar signals semantically. |
SHIHONG FANG et. al. | arxiv-cs.RO | 2022-09-26 |
871 | SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of high-resolution remote sensing images (HRRSIs) is a basic task for remote sensing image processing and has a wide range of applications. However, the … |
XIAOYAN ZHANG et. al. | Remote. Sens. | 2022-09-23 |
872 | SF2SE3: Clustering Scene Flow Into SE(3)-Motions Via Proposal and Selection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SF2SE3, a novel approach to estimate scene dynamics in form of a segmentation into independently moving rigid objects and their SE(3)-motions. |
Leonhard Sommer; Philipp Schröppel; Thomas Brox; | arxiv-cs.CV | 2022-09-18 |
873 | Continual Learning for Class- and Domain-Incremental Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: At the same time while unsupervised domain adaption for semantic segmentation gained a lot of traction, investigations regarding domain-incremental learning in an continual setting is not well-studied. Therefore, the goal of our work is to evaluate and adapt established solutions for continual object recognition to the task of semantic segmentation and to provide baseline methods and evaluation protocols for the task of continual semantic segmentation. |
Tobias Kalb; Masoud Roschani; Miriam Ruf; Jürgen Beyerer; | arxiv-cs.CV | 2022-09-16 |
874 | Weakly Supervised Semantic Segmentation Via Progressive Patch Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a novel Progressive Patch Learning approach is proposed to improve the local details extraction of the classification, producing the CAM better covering the whole object rather than only the most discriminative regions as in CAMs obtained in conventional classification models. |
JINLONG LI et. al. | arxiv-cs.CV | 2022-09-16 |
875 | Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we introduce a method for weakly supervised segmentation of 3D scenes that combines self-training with active learning. |
Gengxin Liu; Oliver van Kaick; Hui Huang; Ruizhen Hu; | arxiv-cs.CV | 2022-09-15 |
876 | MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel soft mining contextual information beyond image paradigm named MCIBI++ to further boost the pixel-level representations. |
Zhenchao Jin; Dongdong Yu; Zehuan Yuan; Lequan Yu; | arxiv-cs.CV | 2022-09-09 |
877 | A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Both recognizable structural elements and apparent surface defects are present in the inspection images. This paper is motivated to develop a multitask deep learning model that fully utilizes such interdependence between bridge elements and defects to boost the model’s task performance and generalization. |
Chenyu Zhang; Muhammad Monjurul Karim; Ruwen Qin; | arxiv-cs.CV | 2022-09-05 |
878 | Semantic Segmentation in Learned Compressed Domain Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method based on the compressed domain to improve segmentation tasks. |
Jinming Liu; Heming Sun; Jiro Katto; | arxiv-cs.CV | 2022-09-03 |
879 | Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper demonstrates a novel approach to improve face-recognition pose-invariance using semantic-segmentation features. |
Ali Hassani; Zaid El Shair; Rafi Ud Duala Refat; Hafiz Malik; | arxiv-cs.CV | 2022-09-02 |
880 | UAVformer: A Composite Transformer Network for Urban Scene Segmentation of UAV Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shi Yi; Xi Liu; Junjie Li; Ling Chen; | Pattern Recognit. | 2022-09-01 |
881 | SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose a new end-to-end model for performing semantic segmentation and depth completion jointly. |
Juan Pablo Lagos; Esa Rahtu; | arxiv-cs.CV | 2022-09-01 |
882 | End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving Via Multi-Task Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation and depth estimation lie at the heart of scene understanding and play crucial roles especially for autonomous driving. In particular, it is desirable for an … |
Taek-jin Song; Jong-Lyul Jeong; Jong-Hwan Kim; | IEEE Transactions on Intelligent Transportation Systems | 2022-09-01 |
883 | Edge-aware and Spectral-spatial Information Aggregation Network for Multispectral Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
DI ZHANG et. al. | Eng. Appl. Artif. Intell. | 2022-09-01 |
884 | Weather-degraded Image Semantic Segmentation with Multi-task Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhi Li; Xing Wu; Jianjia Wang; Yike Guo; | Image Vis. Comput. | 2022-09-01 |
885 | An Access Control Method with Secret Key for Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A novel method for access control with a secret key is proposed to protect models from unauthorized access in this paper. |
Teru Nagamori; Ryota Iijima; Hitoshi Kiya; | arxiv-cs.CV | 2022-08-28 |
886 | Real-Time Weed Control Application Using A Jetson Nano Edge Device and A Spray Mechanism IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Portable devices play an essential role where edge computing is necessary and mobility is required (e.g., robots in agriculture within remote-sensing applications). With the … |
E. ASSUNÇÃO et. al. | Remote. Sens. | 2022-08-26 |
887 | Refine and Represent: Region-to-Object Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Region-to-Object Representation Learning (R2O) which unifies region-based and object-centric pretraining. |
AKASH GOKUL et. al. | arxiv-cs.CV | 2022-08-24 |
888 | A Geometry-aware Attention Network for Semantic Segmentation of MLS Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of mobile laser scanning (MLS) point clouds can provide meaningful 3 D semantic information of urban facilities for various applications. However, it still … |
Jie Wan; Yongyang Xu; Qinjun Qiu; Zhong Xie; | International Journal of Geographical Information Science | 2022-08-24 |
889 | Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel two-stage entropy-based UDA method for semantic segmentation. |
Weihao Yan; Yeqiang Qian; Chunxiang Wang; Ming Yang; | arxiv-cs.CV | 2022-08-22 |
890 | IoT Enabled Deep Learning Based Framework for Multiple Object Detection in Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced collaborative and communication technologies play a significant role in intelligent services and applications, including artificial intelligence, Internet of Things … |
Imran Ahmed; Misbah Ahmad; A. Chehri; M. Hassan; Gwanggil Jeon; | Remote. Sens. | 2022-08-22 |
891 | Automatic Teeth Segmentation on Panoramic X-rays Using Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to build an intelligent dental care process that both facilitates the treatment and improves the diagnosis, an accurate tooth segmentation and recognition on panoramic … |
Rafic Nader; A. Smorodin; Natalia De La Fournière; Y. Amouriq; F. Autrusseau; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
892 | EAA-Net: Rethinking The Autoencoder Architecture with Intra-class Features for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a light-weight end-to-end segmentation framework based on multi-task learning, termed Edge Attention autoencoder Network (EAA-Net), to improve edge segmentation ability. |
Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo; | arxiv-cs.CV | 2022-08-19 |
893 | Semi-supervised Domain Adaptation with CycleGAN Guided By A Downstream Task Loss Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main contributions of this work are 1) a modular semi-supervised domain adaptation method for semantic segmentation by training a downstream task aware CycleGAN while refraining from adapting the synthetic semantic segmentation expert 2) the demonstration that the method is applicable to complex domain adaptation tasks and 3) a less biased domain gap analysis by using from scratch networks. |
Annika Mütze; Matthias Rottmann; Hanno Gottschalk; | arxiv-cs.CV | 2022-08-18 |
894 | Estimating Appearance Models for Image Segmentation Via Tensor Factorization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Image Segmentation is one of the core tasks in Computer Vision and solving it often depends on modeling the image appearance data via the color distributions of each it its constituent regions. Whereas many segmentation algorithms handle the appearance models dependence using alternation or implicit methods, we propose here a new approach to directly estimate them from the image without prior information on the underlying segmentation. |
Jeova Farias Sales Rocha Neto; | arxiv-cs.CV | 2022-08-16 |
895 | Unsupervised Domain Adaptation Semantic Segmentation of High-resolution Remote Sensing Imagery with Invariant Domain-level Prototype Memory Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This study proposes a novel unsupervised domain adaptation semantic segmentation network (MemoryAdaptNet) for the semantic segmentation of HRS imagery. |
JINGRU ZHU et. al. | arxiv-cs.CV | 2022-08-16 |
896 | Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main challenges of applying NAS to semantic segmentation arise from two aspects: (i) high-resolution images to be processed; (ii) additional requirement of real-time inference speed (i.e., real-time semantic segmentation) for applications such as autonomous driving. To meet such challenges, we propose a surrogate-assisted multi-objective method in this paper. |
ZHICHAO LU et. al. | arxiv-cs.CV | 2022-08-14 |
897 | Online Refinement of A Scene Recognition Model for Mobile Robots By Observing Human’s Interaction with Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a method of online refinement of a scene recognition model for robot navigation considering traversable plants, flexible plant parts which a robot can push aside while moving. |
Shigemichi Matsuzaki; Hiroaki Masuzawa; Jun Miura; | arxiv-cs.RO | 2022-08-13 |
898 | Semantic Segmentation-assisted Instance Feature Fusion for Multi-level 3D Part Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View |
C. Sun; Xin Tong; Yang Liu; | Computational Visual Media | 2022-08-09 |
899 | DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in LiDAR point clouds has become an important research topic for autonomous driving systems. This paper proposes a dynamic graph convolution neural network … |
W. SONG et. al. | Remote. Sens. | 2022-08-08 |
900 | RT‐Unet: An Advanced Network Based on Residual Network and Transformer for Medical Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For the past several years, semantic segmentation method based on deep learning, especially Unet, have achieved tremendous success in medical image processing. The U‐shaped … |
BO LI et. al. | International Journal of Intelligent Systems | 2022-08-08 |
901 | Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a deep-learning-based segmentation method to perform accurate semantic segmentation on fused data from a LiDAR-Camera visual sensor. |
Hanwen Kang; Xing Wang; | arxiv-cs.CV | 2022-08-04 |
902 | SSformer: A Lightweight Transformer for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we rethink the Swin Transformer for semantic segmentation, and design a lightweight yet effective transformer model, called SSformer. |
Wentao Shi; Jing Xu; Pan Gao; | arxiv-cs.CV | 2022-08-03 |
903 | SAM-Net: LiDAR Depth Inpainting for 3D Static Map Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Various sensors can be attached and added to autonomous vehicles, included visual cameras, radar, LiDAR (Light Detection And Ranging), and GNSS (Global Navigation Satellite … |
Junhyeop Lee; Sangwon Hwang; Woojin Kim; Sangyoun Lee; | IEEE Transactions on Intelligent Transportation Systems | 2022-08-01 |
904 | Semantic Image Segmentation for Sea Ice Parameters Recognition Using Deep Convolutional Neural Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
C. Zhang; Xiaodong Chen; S. Ji; | Int. J. Appl. Earth Obs. Geoinformation | 2022-08-01 |
905 | LEARD-Net: Semantic Segmentation for Large-scale Point Cloud Scene IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZIYIN ZENG et. al. | Int. J. Appl. Earth Obs. Geoinformation | 2022-08-01 |
906 | FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we adapt a state-of-the-art semi-supervised classification method FixMatch to semantic segmentation task, introducing FixMatchSeg. |
Pratima Upretee; Bishesh Khanal; | arxiv-cs.CV | 2022-07-31 |
907 | A Novel Weakly Supervised Remote Sensing Landslide Semantic Segmentation Method: Combining CAM and CycleGAN Algorithms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of deep learning algorithms, more and more deep learning algorithms are being applied to remote sensing image classification, detection, and semantic … |
YONGXIU ZHOU et. al. | Remote. Sens. | 2022-07-29 |
908 | Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a comprehensive review of recently proposed semi-supervised learning methods for medical image segmentation and summarized both the technical novelties and empirical results. |
Rushi Jiao; Yichi Zhang; Le Ding; Rong Cai; Jicong Zhang; | arxiv-cs.CV | 2022-07-28 |
909 | GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel GPS-based training framework for nighttime semantic segmentation. |
Hongjae Lee; Changwoo Han; Jun-Sang Yoo; Seung-Won Jung; | arxiv-cs.CV | 2022-07-27 |
910 | Adaptive Sampling for Scanning Pixel Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: It can provide very detailed images at the expense of samplerates and slow image acquisition time. This paper proposes a new algorithm which allows the sensor to adapt the samplerate over the course of this sequence. |
Yusuf Duman; Jean-Yves Guillemaut; Simon Hadfield; | arxiv-cs.CV | 2022-07-27 |
911 | Two-Stream UNET Networks for Semantic Segmentation in Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Compared to image segmentation in the wild, properties of both medical images themselves and of existing medical datasets hinder training deeper and larger models because of overfitting. To this end, we propose a novel two-stream UNET architecture for automatic end-to-end medical image segmentation, in which intensity value and gradient vector flow (GVF) are two inputs for each stream, respectively. |
Xin Chen; Ke Ding; | arxiv-cs.CV | 2022-07-27 |
912 | CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a \textbf{concise} and \textbf{efficient} image-based semantic segmentation network, named \textbf{CENet}. |
Hui-Xian Cheng; Xian-Feng Han; Guo-Qiang Xiao; | arxiv-cs.CV | 2022-07-26 |
913 | A Brief Survey on Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic Segmentation is the process of assigning a label to every pixel in the image that share same semantic properties and stays a challenging task in computer vision. In … |
Youssef Ouassit; S. Ardchir; M. Y. E. Ghoumari; M. Azouazi; | Int. J. Online Biomed. Eng. | 2022-07-26 |
914 | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose an effective and efficient segmentation attack method, dubbed SegPGD. |
Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip Torr; | arxiv-cs.CV | 2022-07-25 |
915 | Behind Every Domain There Is A Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) lack of semantic annotations in the 360-degree imagery. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2022-07-24 |
916 | Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To greatly reduce the labeling burden, in this work, we study semi-supervised scene segmentation from robotic surgical video, which is practically essential yet rarely explored before. |
YANG YU et. al. | arxiv-cs.CV | 2022-07-20 |
917 | Region Aware Video Object Segmentation with Deep Motion Modeling IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To reduce redundancy, we present a Region Aware Video Object Segmentation (RAVOS) approach that predicts regions of interest (ROIs) for efficient object segmentation and memory storage. |
Bo Miao; Mohammed Bennamoun; Yongsheng Gao; Ajmal Mian; | arxiv-cs.CV | 2022-07-20 |
918 | Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To fit the internal structure, during training, we predict a Gaussian Mixture Model from the data, which, merged with the skip connections and the decoding stage, helps avoid wrong inductive biases. |
Darwin Saire; Adín Ramírez Rivera; | arxiv-cs.CV | 2022-07-19 |
919 | SeasoNet: A Seasonal Scene Classification, Segmentation and Retrieval Dataset for Satellite Imagery Over Germany Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents SeasoNet, a new large-scale multi-label land cover and land use scene understanding dataset. |
Dominik Koßmann; Viktor Brack; Thorsten Wilhelm; | arxiv-cs.CV | 2022-07-19 |
920 | Vision Transformers: From Semantic Segmentation to Dense Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, for the first time we explore the global context learning potentials of ViTs for dense visual prediction (e.g., semantic segmentation). |
LI ZHANG et. al. | arxiv-cs.CV | 2022-07-19 |
921 | Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This limitation is due to the difficulty of finegrained prediction at the pixel level. To address this issue, we build upon the recent ObsNet approach by providing object instance knowledge to the observer. |
Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot; | arxiv-cs.CV | 2022-07-18 |
922 | Open-world Semantic Segmentation Via Contrasting and Clustering Vision-Language Embedding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new open-world semantic segmentation pipeline that makes the first attempt to learn to segment semantic objects of various open-world categories without any efforts on dense annotations, by purely exploiting the image-caption data that naturally exist on the Internet. |
QUANDE LIU et. al. | arxiv-cs.CV | 2022-07-18 |
923 | Quality Quantification in Deep Convolutional Neural Networks for Skin Lesion Segmentation Using Fuzzy Uncertainty Measurement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep convolutional neural networks (DCNN)-based methods have achieved promising performance in semantic image segmentation. However, in practical applications, it is important not … |
Qiao Lin; Xin Chen; Chao Chen; J. Garibaldi; | 2022 IEEE International Conference on Fuzzy Systems … | 2022-07-18 |
924 | A Prior Level Fusion Approach for The Semantic Segmentation of 3D Point Clouds Using Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Three-dimensional digital models play a pivotal role in city planning, monitoring, and sustainable management of smart and Digital Twin Cities (DTCs). In this context, semantic … |
Z. Ballouch; R. Hajji; Florent Poux; A. Kharroubi; R. Billen; | Remote. Sens. | 2022-07-16 |
925 | GeoSegNet: Point Cloud Semantic Segmentation Via Geometric Encoder-Decoder Modeling Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a robust semantic segmentation network by deeply exploring the geometry of point clouds, dubbed GeoSegNet. |
CHEN CHEN et. al. | arxiv-cs.CV | 2022-07-14 |
926 | Multi-Category Segmentation of Sentinel-2 Images Based on The Swin UNet Method IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medium-resolution remote sensing satellites have provided a large amount of long time series and full coverage data for Earth surface monitoring. However, the different objects … |
Jun Yao; Shuanggen Jin; | Remote. Sens. | 2022-07-14 |
927 | Automated Detection of Label Errors in Semantic Segmentation Datasets Via Deep Learning and Uncertainty Quantification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we for the first time present a method for detecting label errors in image datasets with semantic segmentation, i.e., pixel-wise class labels. |
Matthias Rottmann; Marco Reese; | arxiv-cs.CV | 2022-07-13 |
928 | SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple but effective slimmable semantic segmentation (SlimSeg) method, which can be executed at different capacities during inference depending on the desired accuracy-efficiency tradeoff. |
DANNA XUE et. al. | arxiv-cs.CV | 2022-07-13 |
929 | AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-spectral semantic segmentation has shown great advantages under poor illumination conditions, especially for remote scene understanding of autonomous vehicles, since the … |
Haijun Liu; Fenglei Chen; Zhihong Zeng; Xiaoheng Tan; | Remote. Sens. | 2022-07-13 |
930 | Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we show that recent advances in self-supervised feature learning enable unsupervised object discovery and semantic segmentation with a performance that matches the state of the field on supervised semantic segmentation 10 years ago. |
Andrii Zadaianchuk; Matthaeus Kleindessner; Yi Zhu; Francesco Locatello; Thomas Brox; | arxiv-cs.CV | 2022-07-11 |
931 | Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow Related Papers Related Patents Related Grants Related Venues Related Experts View |
XIANGTAI LI et. al. | International Journal of Computer Vision | 2022-07-10 |
932 | Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an efficient multi-task approach for RGB-D scene analysis~(EMSANet) that simultaneously performs semantic and instance segmentation~(panoptic segmentation), instance orientation estimation, and scene classification. |
Daniel Seichter; Söhnke Benedikt Fischedick; Mona Köhler; Horst-Michael Groß; | arxiv-cs.CV | 2022-07-10 |
933 | Self-attention on Multi-Shifted Windows for Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: One of the challenges for this learning task is to consider the spatial and semantic relationships to obtain descriptive feature representations, so learning the feature maps from multiple scales is a common practice in scene segmentation. In this paper, we explore the effective use of self-attention within multi-scale image windows to learn descriptive visual features, then propose three different strategies to aggregate these feature maps to decode the feature representation for dense prediction. |
Litao Yu; Zhibin Li; Jian Zhang; Qiang Wu; | arxiv-cs.CV | 2022-07-10 |
934 | Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a self-supervised learning (SSL) method suitable for semi-global tasks such as object detection and semantic segmentation. |
ASHRAFUL ISLAM et. al. | arxiv-cs.CV | 2022-07-10 |
935 | SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, although deep learning has achieved great success in the field of semantic segmentation, the precision of the segmentation boundary region is not high due to the loss of detailed information caused by the classical segmentation network in the process of encoding and decoding process. This paper introduces a matting algorithm to calibrate the boundary of the segmentation region of the semantic segmentation network to solve this problem. |
Qi Wang; Jingwu Mei; | arxiv-cs.CV | 2022-07-09 |
936 | Generative Adversarial Networks and Other Generative Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This chapter gives a basic introduction into the motivation for Generative Adversarial Networks (GANs) and traces the path of their success by abstracting the basic task and working mechanism, and deriving the difficulty of early practical approaches. |
Markus Wenzel; | arxiv-cs.CV | 2022-07-08 |
937 | False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we enhance semantic segmentation predictions using monocular depth estimation to improve segmentation by reducing the occurrence of non-detected objects in presence of domain shift. |
Kira Maag; Matthias Rottmann; | arxiv-cs.CV | 2022-07-07 |
938 | Unsupervised Domain Adaptation Through Shape Modeling for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, we propose a new unsupervised domain adaptation pipeline based on a pseudo loss and a VAE reconstruction loss under a teacher-student learning paradigm. |
YUAN YAO et. al. | arxiv-cs.CV | 2022-07-06 |
939 | Latents2Segments: Disentangling The Latent Space of Generative Models for Semantic Segmentation of Face Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Few State of the Art (SOTA) methods which solve this problem, do so by incorporating priors with respect to facial structure or other face attributes such as expression and pose in their deep classifier architecture. Our endeavour in this work is to do away with the priors and complex pre-processing operations required by SOTA multi-class face segmentation models by reframing this operation as a downstream task post infusion of disentanglement with respect to facial semantic regions of interest (ROIs) in the latent space of a Generative Autoencoder model. |
Snehal Singh Tomar; A. N. Rajagopalan; | arxiv-cs.CV | 2022-07-05 |
940 | SiamMask: A Framework for Fast Online Object Tracking and Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we introduce SiamMask, a framework to perform both visual object tracking and video object segmentation, in real-time, with the same simple method. |
Weiming Hu; Qiang Wang; Li Zhang; Luca Bertinetto; Philip H. S. Torr; | arxiv-cs.CV | 2022-07-05 |
941 | S$^{5}$Mars: Semi-Supervised Learning for Mars Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, there is a lack of sufficient detailed and high-confidence data annotations, which are exactly required by most deep learning methods to obtain a good model. To address this problem, we propose our solution from the perspective of joint data and method design. |
Jiahang Zhang; Lilang Lin; Zejia Fan; Wenjing Wang; Jiaying Liu; | arxiv-cs.CV | 2022-07-04 |
942 | DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the varying issues in segmenting the different relevant structures in these surgeries make the designation of a unique network quite challenging. This paper proposes a semantic segmentation network, termed DeepPyramid, that can deal with these challenges using three novelties: (1) a Pyramid View Fusion module which provides a varying-angle global view of the surrounding region centering at each pixel position in the input convolutional feature map; (2) a Deformable Pyramid Reception module which enables a wide deformable receptive field that can adapt to geometric transformations in the object of interest; and (3) a dedicated Pyramid Loss that adaptively supervises multi-scale semantic feature maps. |
Negin Ghamsarian; Mario Taschwer; Raphael Sznitman; Klaus Schoeffmann; | arxiv-cs.CV | 2022-07-04 |
943 | Open-world Semantic Segmentation for LIDAR Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The closed-set assumption makes the network only able to output labels of trained classes, even for objects never seen before, while a static network cannot update its knowledge base according to what it has seen. Therefore, in this work, we propose the open-world semantic segmentation task for LIDAR point clouds, which aims to 1) identify both old and novel classes using open-set semantic segmentation, and 2) gradually incorporate novel objects into the existing knowledge base using incremental learning without forgetting old classes. |
JUN CEN et. al. | arxiv-cs.CV | 2022-07-04 |
944 | OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, scene segmentation concerns more on the local difference between adjacent shots while classification needs the global representation of scene segments, which probably leads to the model dominated by one of the two tasks in the training phase. In this paper, from an alternate perspective to overcome the above challenges, we unite these two tasks into one task by a new form of predicting shots link: a link connects two adjacent shots, indicating that they belong to the same scene or category. |
YE LIU et. al. | arxiv-cs.CV | 2022-07-04 |
945 | A Survey on Label-efficient Deep Image Segmentation: Bridging The Gap Between Weak Supervision and Dense Prediction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper offers a comprehensive review on label-efficient image segmentation methods. |
WEI SHEN et. al. | arxiv-cs.CV | 2022-07-04 |
946 | Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we present our real-time egocentric body segmentation algorithm. |
ESTER GONZALEZ-SOSA et. al. | arxiv-cs.CV | 2022-07-04 |
947 | Improving Nighttime Driving-Scene Segmentation Via Dual Image-adaptive Learnable Filters IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although encouraging performance has been achieved on daytime images, the performance on nighttime images are less satisfactory due to the insufficient exposure and the lack of labeled data. To address these issues, we present an add-on module called dual image-adaptive learnable filters (DIAL-Filters) to improve the semantic segmentation in nighttime driving conditions, aiming at exploiting the intrinsic features of driving-scene images under different illuminations. |
WENYU LIU et. al. | arxiv-cs.CV | 2022-07-04 |
948 | Learning Indoor Point Cloud Semantic Segmentation from Image-level Labels Related Papers Related Patents Related Grants Related Venues Related Experts View |
YOUCHENG SONG et. al. | The Visual Computer | 2022-07-02 |
949 | Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the issues, we propose a novel region-level contrastive and consistency learning framework (RC^2L) for semi-supervised semantic segmentation. |
Jianrong Zhang; Tianyi Wu; Chuanghao Ding; Hongwei Zhao; Guodong Guo; | ijcai | 2022-07-01 |
950 | RBorderNet: Rider Border Collie Optimization-based Deep Convolutional Neural Network for Road Scene Segmentation and Road Intersection Classification Related Papers Related Patents Related Grants Related Venues Related Experts View |
Michael Mahesh K; S. Veluchamy; J. Thirumalai; P. Sureshkanna; | Digit. Signal Process. | 2022-07-01 |
951 | Semantic Image Segmentation Using Scant Pixel Annotations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success of deep networks for the semantic segmentation of images is limited by the availability of annotated training data. The manual annotation of images for segmentation is … |
A. D. Chakravarthy; Dilanga L. B. Abeyrathna; M. Subramaniam; P. Chundi; V. Gadhamshetty; | Mach. Learn. Knowl. Extr. | 2022-07-01 |
952 | Learning to Segment from Object Sizes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an algorithm for training a deep segmentation network from a dataset of a few pixel-wise annotated images and many images with known object sizes. |
Denis Baručić; Jan Kybic; | arxiv-cs.CV | 2022-07-01 |
953 | Hybrid CNN-LSTM Architecture for LiDAR Point Clouds Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of LiDAR in the outdoor environment is still an open problem in the field of automatic driving. Although the emerging development and technological … |
Shuhuan Wen; Tao Wang; Sheng Tao; | IEEE Robotics and Automation Letters | 2022-07-01 |
954 | Online Reflective Learning for Robust Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, inspired by human learning cycle, we propose a novel online reflective learning framework (RefSeg) to improve segmentation robustness. |
YUHAO HUANG et. al. | arxiv-cs.CV | 2022-07-01 |
955 | One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method called prediction filtering, which instead of extracting pseudo-labels, just uses the classifier as a classifier: it ignores any segmentation predictions from classes which the classifier is confident are not present. |
Wonho Bae; Junhyug Noh; Milad Jalali Asadabadi; Danica J. Sutherland; | ijcai | 2022-07-01 |
956 | Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scene understanding in adverse weather conditions (e.g. rainy and foggy days) has drawn increasing attention, arising some specific benchmarks and algorithms. However, scene … |
XIAN ZHONG et. al. | ijcai | 2022-07-01 |
957 | PST: Plant Segmentation Transformer for 3D Point Clouds of Rapeseed Plants at The Podding Stage IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we proposed a deep learning network plant segmentation transformer (PST) to achieve the semantic and instance segmentation of rapeseed plants point clouds acquired by handheld laser scanning (HLS) with the high spatial resolution, which can characterize the tiny siliques as the main traits targeted. |
Ruiming Du; Zhihong Ma; Pengyao Xie; Yong He; Haiyan Cen; | arxiv-cs.CV | 2022-06-27 |
958 | Unseen Food Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Food image segmentation is important for detailed analysis on food images, especially for classification of multiple food items and calorie amount estimation. However, there is a … |
Yuma Honbu; Keiji Yanai; | Proceedings of the 2022 International Conference on … | 2022-06-27 |
959 | Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel adversarial domain generalization method for organ segmentation trained on data from a \emph{single} domain. |
YANWU XU et. al. | arxiv-cs.CV | 2022-06-27 |
960 | Multi-scale Wavelet Frequency Channel Attention for Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Among recent developments in semantic segmentation, deep convolutional encoder-decoder has become the main-scheme model for remote sensing images. In this paper, we propose a … |
Yu-Chen Su; Tsung-Jung Liu; Kuan-Hsien Liu; | 2022 IEEE 14th Image, Video, and Multidimensional Signal … | 2022-06-26 |
961 | An Enhancement Model Based on Dense Atrous and Inception Convolution for Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Erjing Zhou; Xiang Xu; Baomin Xu; Hongwei Wu; | Applied Intelligence | 2022-06-25 |
962 | MaskRange: A Mask-classification Model for Range-view Based LiDAR Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This raises an interesting question: can the mask-classification paradigm benefit the range-view based LiDAR segmentation and achieve better performance than the counterpart per-pixel paradigm? To answer this question, we propose a unified mask-classification model, MaskRange, for the range-view based LiDAR semantic and panoptic segmentation. |
Yi Gu; Yuming Huang; Chengzhong Xu; Hui Kong; | arxiv-cs.CV | 2022-06-24 |
963 | The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge–Track 3: Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, based on the strong baseline framework–ReferFormer, we propose several tricks to boost further, including cyclical learning rates, semi-supervised approach, and test-time augmentation inference. |
LEILEI CAO et. al. | arxiv-cs.CV | 2022-06-23 |
964 | Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically in robotic surgery, data scarcity and imbalance have heavily affected the model accuracy and limited the design and deployment of deep learning-based surgical applications such as surgical instrument segmentation. Considering this, we rethink the surgical instrument segmentation task and propose a one-to-many data generation solution that gets rid of the complicated and expensive process of data collection and annotation from robotic surgery. |
An Wang; Mobarakol Islam; Mengya Xu; Hongliang Ren; | arxiv-cs.CV | 2022-06-23 |
965 | LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in A Single Multi-task Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022. |
DONGQIANGZI YE et. al. | arxiv-cs.CV | 2022-06-22 |
966 | Toward Unpaired Multi-modal Medical Image Segmentation Via Learning Structured Semantic Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel scheme to learn the mutual benefits of different modalities to achieve better segmentation results for unpaired multi-modal medical images. |
Jie Yang; Ye Zhu; Chaoqun Wang; Zhen Li; Ruimao Zhang; | arxiv-cs.CV | 2022-06-21 |
967 | SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We investigate how a robot can autonomously discover novel semantic classes and improve accuracy on known classes when exploring an unknown environment. |
Hermann Blum; Marcus G. Müller; Abel Gawel; Roland Siegwart; Cesar Cadena; | arxiv-cs.RO | 2022-06-21 |
968 | Semantic Labeling of High-Resolution Images Using EfficientUNets and Transformers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation necessitates approaches that learn high-level characteristics while dealing with enormous quantities of data. Convolutional neural networks (CNNs) can learn … |
Hasan Almarzouqi; L. Saad Saoud; | IEEE Transactions on Geoscience and Remote Sensing | 2022-06-20 |
969 | Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recently, deep transformers have proven their capability to record global interactions between different objects in the image. In this paper, we propose a new segmentation model that combines convolutional neural networks with transformers, and show that this mixture of local and global feature extraction techniques provides significant advantages in remote sensing segmentation. |
Hasan AlMarzouqi; Lyes Saad Saoud; | arxiv-cs.CV | 2022-06-20 |
970 | Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, CAMs can only discover the most discriminative parts of objects, thus leading to inferior pixel-level pseudo labels. To address this issue, we propose a saliency guided Inter- and Intra-Class Relation Constrained (I$^2$CRC) framework to assist the expansion of the activated object regions in CAMs. |
TAO CHEN et. al. | arxiv-cs.CV | 2022-06-19 |
971 | 3D Face Parsing Via Surface Parameterization and 2D Semantic Segmentation Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method based on the 3D-2D-3D strategy to accomplish 3D face parsing. |
WENYUAN SUN et. al. | arxiv-cs.CV | 2022-06-18 |
972 | Multi-granularity Semantic Alignment Distillation Learning for Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
DI ZHANG et. al. | Frontiers of Computer Science | 2022-06-17 |
973 | On Efficient Real-Time Semantic Segmentation: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, many of the top performing semantic segmentation models are extremely complex and cumbersome, and as such are not suited to deployment onboard autonomous vehicle platforms where computational resources are limited and low-latency operation is a vital requirement. In this survey, we take a thorough look at the works that aim to address this misalignment with more compact and efficient models capable of deployment on low-memory embedded systems while meeting the constraint of real-time inference. |
Christopher J. Holder; Muhammad Shafique; | arxiv-cs.CV | 2022-06-17 |
974 | Simple and Efficient Architectures for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We show that with minor and inexpensive modifications to ResNets, enlarging the receptive field, very simple and competitive baselines can be created for Semantic Segmentation. We present a family of such simple architectures for desktop as well as mobile targets, which match or exceed the performance of complex models on the Cityscapes dataset. |
DUSHYANT MEHTA et. al. | arxiv-cs.CV | 2022-06-16 |
975 | Real3D-Aug: Point Cloud Augmentation By Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an augmentation framework that reuses real data, automatically finds suitable placements in the scene to be augmented, and handles occlusions explicitly. |
Petr Šebek; Šimon Pokorný; Patrik Vacek; Tomáš Svoboda; | arxiv-cs.CV | 2022-06-15 |
976 | Waymo Open Dataset: Panoramic Video Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The high labeling costs also make it challenging to extend existing datasets to the video domain and to multi-camera setups. We therefore present the Waymo Open Dataset: Panoramic Video Panoptic Segmentation Dataset, a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving. |
JIERU MEI et. al. | arxiv-cs.CV | 2022-06-15 |
977 | S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a new model to achieve a trade-off between accuracy/speed for real-time road scene semantic segmentation. |
Mohammed A. M. Elhassan; Chenhui Yang; Chenxi Huang; Tewodros Legesse Munea; Xin Hong; | arxiv-cs.CV | 2022-06-15 |
978 | S2-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern high-performance semantic segmentation methods employ a heavy backbone and dilated convolution to extract the relevant feature. Although extracting features with both … |
M. A. Elhassan; Chunming Yang; Chenxi Huang; Tewodros Legesse Munea; Xin Hong; | ArXiv | 2022-06-15 |
979 | How to Reduce Change Detection to Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new paradigm that reduces CD to semantic segmentation which means tailoring an existing and powerful semantic segmentation network to solve CD. |
Guo-Hua Wang; Bin-Bin Gao; Chengjie Wang; | arxiv-cs.CV | 2022-06-15 |
980 | Image Semantic Segmentation with Hierarchical Feature Fusion Based on Deep Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the field of image segmentation in industrial production. When using depth neural network to extract features from image information. Deep neural network can not effectively … |
Dawei Yang; Yan-ping Du; Hong Yao; Liyan Bao; | Connection Science | 2022-06-14 |
981 | Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a consistent end-to-end video instance segmentation framework with Inter-Frame Recurrent Attention to model both the temporal instance consistency for adjacent frames and the global temporal context. |
Quanzeng You; Jiang Wang; Peng Chu; Andre Abrantes; Zicheng Liu; | arxiv-cs.CV | 2022-06-14 |
982 | DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction Via A Structure-Specific Generative Method Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an end-to-end latent-space-based framework, DeepRecon, that generates multiple clinically essential outcomes, including accurate image segmentation, synthetic high-resolution 3D image, and 3D reconstructed volume. |
QI CHANG et. al. | arxiv-cs.CV | 2022-06-14 |
983 | A Multi-task Framework for Infrared Small Target Detection and Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose a novel end-to-end framework for infrared small target detection and segmentation in this paper. |
Yuhang Chen; Liyuan Li; Xin Liu; Xiaofeng Su; Fansheng Chen; | arxiv-cs.CV | 2022-06-14 |
984 | Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents MaskDistill: a novel framework for unsupervised semantic segmentation based on three key ideas. |
Wouter Van Gansbeke; Simon Vandenhende; Luc Van Gool; | arxiv-cs.CV | 2022-06-13 |
985 | FocusCut: Diving Into A Focus View in Interactive Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the global view makes the model lose focus from later clicks, and is not in line with user intentions. In this paper, we dive into the view of clicks’ eyes to endow them with the decisive role in object details again. |
Zheng Lin; Zheng-Peng Duan; Zhao Zhang; Chun-Le Guo; Ming-Ming Cheng; | cvpr | 2022-06-07 |
986 | Amodal Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This ability of amodal perception forms the basis of our perceptual and cognitive understanding of our world. To enable robots to reason with this capability, we formulate and propose a novel task that we name amodal panoptic segmentation. |
Rohit Mohan; Abhinav Valada; | cvpr | 2022-06-07 |
987 | Deep Hierarchical Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we instead address hierarchical semantic segmentation (HSS), which aims at structured, pixel-wise description of visual observation in terms of a class hierarchy. |
Liulei Li; Tianfei Zhou; Wenguan Wang; Jianwu Li; Yi Yang; | cvpr | 2022-06-07 |
988 | Incremental Learning in Semantic Segmentation From Image Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a novel framework for Weakly Incremental Learning for Semantic Segmentation, that aims at learning to segment new classes from cheap and largely available image-level labels. |
Fabio Cermelli; Dario Fontanel; Antonio Tavera; Marco Ciccone; Barbara Caputo; | cvpr | 2022-06-07 |
989 | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, ViTs are mainly designed for image classification that generate single-scale low-resolution representations, which makes dense prediction tasks such as semantic segmentation challenging for ViTs. Therefore, we propose HRViT, which enhances ViTs to learn semantically-rich and spatially-precise multi-scale representations by integrating high-resolution multi-branch architectures with ViTs. |
JIAQI GU et. al. | cvpr | 2022-06-07 |
990 | Generalized Few-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a new benchmark, called Generalized Few-Shot Semantic Segmentation (GFS-Seg), to analyze the generalization ability of simultaneously segmenting the novel categories with very few examples and the base categories with sufficient examples. |
ZHUOTAO TIAN et. al. | cvpr | 2022-06-07 |
991 | L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present L2G, a simple online local-to-global knowledge transfer framework for high-quality object attention mining. |
Peng-Tao Jiang; Yuqi Yang; Qibin Hou; Yunchao Wei; | cvpr | 2022-06-07 |
992 | Scene Consistency Representation Learning for Video Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Spotting the correct scene boundary from the long-term video is a challenging task, since a model must understand the storyline of the video to figure out where a scene starts and ends. To this end, we propose an effective Self-Supervised Learning (SSL) framework to learn better shot representations from unlabeled long-term videos. |
HAOQIAN WU et. al. | cvpr | 2022-06-07 |
993 | Self-Supervised Image Representation Learning With Geometric Set Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method for self-supervised image representation learning under the guidance of 3D geometric consistency. |
Nenglun Chen; Lei Chu; Hao Pan; Yan Lu; Wenping Wang; | cvpr | 2022-06-07 |
994 | FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose FLOAT, a factorized label space framework for scalable multi-object multi-part parsing. |
Rishubh Singh; Pranav Gupta; Pradeep Shenoy; Ravikiran Sarvadevabhatla; | cvpr | 2022-06-07 |
995 | Coarse-To-Fine Feature Mining for Video Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, there is no research about how to simultaneously learn static and motional contexts which are highly correlated and complementary to each other. To address this problem, we propose a Coarse-to-Fine Feature Mining (CFFM) technique to learn a unified presentation of static contexts and motional contexts. |
Guolei Sun; Yun Liu; Henghui Ding; Thomas Probst; Luc Van Gool; | cvpr | 2022-06-07 |
996 | SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this technique, we propose SemAffiNet for point cloud semantic segmentation, which utilizes the attention mechanism in the Transformer module to implicitly and explicitly capture global structural knowledge within local parts for overall comprehension of each category. |
Ziyi Wang; Yongming Rao; Xumin Yu; Jie Zhou; Jiwen Lu; | cvpr | 2022-06-07 |
997 | Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Panoptic SegFormer, a general framework for panoptic segmentation with transformers. |
ZHIQI LI et. al. | cvpr | 2022-06-07 |
998 | Weakly Supervised Semantic Segmentation By Pixel-to-Prototype Contrast IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose weakly-supervised pixel-to-prototype contrast that can provide pixel-level supervisory signals to narrow the gap. |
Ye Du; Zehua Fu; Qingjie Liu; Yunhong Wang; | cvpr | 2022-06-07 |
999 | Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The limitation of visual representation is prone to causing vision-language mismatching and producing poor segmentation results. To address this, we propose a novel multi-level representation learning approach, which explores the inherent structure of the video content to provide a set of discriminative visual embedding, enabling more effective vision-language semantic alignment. |
Dongming Wu; Xingping Dong; Ling Shao; Jianbing Shen; | cvpr | 2022-06-07 |
1000 | Cross-View Transformers for Real-Time Map-View Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present cross-view transformers, an efficient attention-based model for map-view semantic segmentation from multiple cameras. |
Brady Zhou; Philipp Krähenbühl; | cvpr | 2022-06-07 |
1001 | Using Open Vector-Based Spatial Data to Create Semantic Datasets for Building Segmentation for Raster Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With increasing access to open spatial data, it is possible to improve the quality of analyses carried out in the preliminary stages of the investment process. The extraction of … |
Szymon Glinka; T. Owerko; Karolina Tomaszkiewicz; | Remote. Sens. | 2022-06-07 |
1002 | Neural 3D Scene Reconstruction With The Manhattan-World Assumption IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we show that the planar constraints can be conveniently integrated into the recent implicit neural representation-based reconstruction methods. |
HAOYU GUO et. al. | cvpr | 2022-06-07 |
1003 | Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Yet annotating 3D Lidar data for these tasks is tedious and costly. In this context, we propose a self-supervised pre-training method for 3D perception models that is tailored to autonomous driving data. |
CORENTIN SAUTIER et. al. | cvpr | 2022-06-07 |
1004 | Accelerating Video Object Segmentation With Compressed Video Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an efficient plug-and-play acceleration framework for semi-supervised video object segmentation by exploiting the temporal redundancies in videos presented by the compressed bitstream. |
Kai Xu; Angela Yao; | cvpr | 2022-06-07 |
1005 | On The Road to Online Adaptation for Semantic Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new problem formulation and a corresponding evaluation framework to advance research on unsupervised domain adaptation for semantic image segmentation. |
Riccardo Volpi; Pau De Jorge; Diane Larlus; Gabriela Csurka; | cvpr | 2022-06-07 |
1006 | Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In particular, we propose regional semantic contrast and aggregation (RCA). |
Tianfei Zhou; Meijie Zhang; Fang Zhao; Jianwu Li; | cvpr | 2022-06-07 |
1007 | Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Distortions and the distinct image-feature distribution in 360deg panoramas impede the transfer from the annotation-rich pinhole domain and therefore come with a big dent in performance. To get around this domain difference and bring together semantic annotations from pinhole- and 360deg surround-visuals, we propose to learn object deformations and panoramic image distortions in the Deformable Patch Embedding (DPE) and Deformable MLP (DMLP) components which blend into our Transformer for PAnoramic Semantic Segmentation (Trans4PASS) model. |
JIAMING ZHANG et. al. | cvpr | 2022-06-07 |
1008 | Multimodal Material Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce the MCubeS dataset (from MultiModal Material Segmentation) which contains 500 sets of multimodal images capturing 42 street scenes. |
Yupeng Liang; Ryosuke Wakaki; Shohei Nobuhara; Ko Nishino; | cvpr | 2022-06-07 |
1009 | C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we find that there are mainly two challenges of medical images in WSSS: i) the boundary of object foreground and background is not clear; ii) the co-occurrence phenomenon is very severe in training stage. We thus propose a Causal CAM (C-CAM) method to overcome the above challenges. |
Zhang Chen; Zhiqiang Tian; Jihua Zhu; Ce Li; Shaoyi Du; | cvpr | 2022-06-07 |
1010 | HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To enable one-shot NAS for medical image segmentation, our method, named HyperSegNAS, introduces a HyperNet to assist super-net training by incorporating architecture topology information. |
CHENG PENG et. al. | cvpr | 2022-06-07 |
1011 | NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose NightLab, a novel nighttime segmentation framework that leverages multiple deep learning models imbued with night-aware features to yield State-of-The-Art (SoTA) performance on multiple night segmentation benchmarks. |
Xueqing Deng; Peng Wang; Xiaochen Lian; Shawn Newsam; | cvpr | 2022-06-07 |
1012 | Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Differently from existing methods, which are purely based on deep learning, we take inspiration from traditional spectral segmentation methods by reframing image decomposition as a graph partitioning problem. |
Luke Melas-Kyriazi; Christian Rupprecht; Iro Laina; Andrea Vedaldi; | cvpr | 2022-06-07 |
1013 | C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Contrastive learning for Class-agnostic Activation Map (C^2AM) generation only using unlabeled image data, without the involvement of image-level supervision. |
JINHENG XIE et. al. | cvpr | 2022-06-07 |
1014 | Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents Segment-Fusion, a novel attention-based method for hierarchical fusion of semantic and instance information to address the part misclassifications. |
Anirud Thyagharajan; Benjamin Ummenhofer; Prashant Laddha; Om Ji Omer; Sreenivas Subramoney; | cvpr | 2022-06-07 |
1015 | Learning Non-Target Knowledge for Few-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing studies in few-shot semantic segmentation only focus on mining the target object information, however, often are hard to tell ambiguous regions, especially in non-target regions, which include background (BG) and Distracting Objects (DOs). To alleviate this problem, we propose a novel framework, namely Non-Target Region Eliminating (NTRE) network, to explicitly mine and eliminate BG and DO regions in the query. |
YUANWEI LIU et. al. | cvpr | 2022-06-07 |
1016 | Wnet: Audio-Guided Video Object Segmentation Via Wavelet-Based Cross-Modal Denoising Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we consider the problem of audio-guided video semantic segmentation from the viewpoint of end-to-end denoised encoder-decoder network learning. |
WENWEN PAN et. al. | cvpr | 2022-06-07 |
1017 | Hyperbolic Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we show that hyperbolic manifolds provide a valuable alternative for image segmentation and propose a tractable formulation of hierarchical pixel-level classification in hyperbolic space. |
Mina Ghadimi Atigh; Julian Schoep; Erman Acar; Nanne van Noord; Pascal Mettes; | cvpr | 2022-06-07 |
1018 | Fast Point Transformer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Fast Point Transformer that consists of a new lightweight self-attention layer. |
Chunghyun Park; Yoonwoo Jeong; Minsu Cho; Jaesik Park; | cvpr | 2022-06-07 |
1019 | ReSTR: Convolution-Free Referring Image Segmentation Using Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Most of existing methods for this task rely heavily on convolutional neural networks, which however have trouble capturing long-range dependencies between entities in the language expression and are not flexible enough for modeling interactions between the two different modalities. To address these issues, we present the first convolution-free model for referring image segmentation using transformers, dubbed ReSTR. |
Namyup Kim; Dongwon Kim; Cuiling Lan; Wenjun Zeng; Suha Kwak; | cvpr | 2022-06-07 |
1020 | Representation Compensation Networks for Continual Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetting. |
Chang-Bin Zhang; Jia-Wen Xiao; Xialei Liu; Ying-Cong Chen; Ming-Ming Cheng; | cvpr | 2022-06-07 |
1021 | Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our idea is that a good representation must be able to reveal not just a particular level of grouping, but any level of grouping in a consistent and predictable manner across different levels of granularity. |
Tsung-Wei Ke; Jyh-Jing Hwang; Yunhui Guo; Xudong Wang; Stella X. Yu; | cvpr | 2022-06-07 |
1022 | Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we train a SANCE model which utilizes an auxiliary segmentation module to supplement high-level semantic information for contour training by backbone feature sharing and online label supervision. |
Jing Li; Junsong Fan; Zhaoxiang Zhang; | cvpr | 2022-06-07 |
1023 | Cross-Image Relational Knowledge Distillation for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a novel Cross-Image Relational KD (CIRKD), which focuses on transferring structured pixel-to-pixel and pixel-to-region relations among the whole images. |
CHUANGUANG YANG et. al. | cvpr | 2022-06-07 |
1024 | Image Segmentation Using Text and Image Prompts Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose a system that can generate image segmentations based on arbitrary prompts at test time. |
Timo Lüddecke; Alexander Ecker; | cvpr | 2022-06-07 |
1025 | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation Via Semantic Knowledge Transfer and Self-Refinement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel approach including two innovative components. |
Beomyoung Kim; YoungJoon Yoo; Chae Eun Rhee; Junmo Kim; | cvpr | 2022-06-07 |
1026 | FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Robust visual recognition under adverse weather conditions is of great importance in real-world applications. In this context, we propose a new method for learning semantic segmentation models robust against fog. |
Sohyun Lee; Taeyoung Son; Suha Kwak; | cvpr | 2022-06-07 |
1027 | Towards Fewer Annotations: Active Learning Via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple region-based active learning approach for semantic segmentation under a domain shift, aiming to automatically query a small partition of image regions to be labeled while maximizing segmentation performance. |
Binhui Xie; Longhui Yuan; Shuang Li; Chi Harold Liu; Xinjing Cheng; | cvpr | 2022-06-07 |
1028 | GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, the vanilla MS appears to be very slow for large-scale datasets. To address this issue, we propose a mode-seeking algorithm called GridShift, with significant speedup and principally based on MS. To accelerate, GridShift employs a grid-based approach for neighbor search, which is linear in the number of data points. |
Abhishek Kumar; Oladayo S. Ajani; Swagatam Das; Rammohan Mallipeddi; | arxiv-cs.CV | 2022-06-05 |
1029 | Impacts of Data Anonymization on Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For the development of machine learning-based driver assistance systems and highly automated driving functions, training data play a significant role in ensuring machine learning … |
Jingxing Zhou; J. Beyerer; | 2022 IEEE Intelligent Vehicles Symposium (IV) | 2022-06-05 |
1030 | Traffic Scene Perception Based on Joint Object Detection and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Libo Weng; Y. Wang; Fei Gao; | Neural Processing Letters | 2022-06-04 |
1031 | H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, we propose a novel framework, called hierarchical earth mover’s distance (H-EMD), for instance segmentation in biomedical 2D+time videos and 3D images, which judiciously incorporates consistent instance selection with semantic-segmentation-generated probability maps. |
PEIXIAN LIANG et. al. | arxiv-cs.CV | 2022-06-02 |
1032 | A Lightweight Network for Real-Time Target Semantic Segmentation Based on Dual Paths Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: High-precision extraction of target features is a challenge in real-time image analysis. Contemporary real-time semantic segmentation methods sacrifice segmentation accuracy to … |
Yuming Li; W. Zhang; Yanyan Liu; Xiaorui Shao; | 2022 5th World Conference on Mechanical Engineering and … | 2022-06-01 |
1033 | Scene Representation in Bird’s-Eye View from Surrounding Cameras with Transformers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scene representation in the bird’s-eye-view (BEV) coordinate frame provides a succinct and effective way to understand surrounding environments for autonomous vehicles and … |
Yun Zhao; Y. Zhang; Zhan Gong; H. Zhu; | 2022 IEEE/CVF Conference on Computer Vision and Pattern … | 2022-06-01 |
1034 | Denoising Pretraining for Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation labels are expensive and time consuming to acquire. To improve label efficiency of semantic segmentation models, we revisit denoising autoencoders and study … |
EMMANUEL ASIEDU BREMPONG et. al. | 2022 IEEE/CVF Conference on Computer Vision and Pattern … | 2022-06-01 |
1035 | Amodal Cityscapes: A New Dataset, Its Generation, and An Amodal Semantic Segmentation Challenge Baseline Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we consider the task of amodal semantic segmentation and propose a generic way to generate datasets to train amodal semantic segmentation methods. |
Jasmin Breitenstein; Tim Fingscheidt; | arxiv-cs.CV | 2022-06-01 |
1036 | CIMFNet: Cross-Layer Interaction and Multiscale Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images has received increasing attention in recent years; however, using a single imaging modality limits the segmentation performance. … |
Wujie Zhou; J. Jin; Jingsheng Lei; Lu Yu; | IEEE Journal of Selected Topics in Signal Processing | 2022-06-01 |
1037 | Wnet: Audio-Guided Video Object Segmentation Via Wavelet-Based Cross- Modal Denoising Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Audio-Guided video object segmentation is a challenging problem in visual analysis and editing, which automatically separates foreground objects from the background in a video … |
WENWEN PAN et. al. | 2022 IEEE/CVF Conference on Computer Vision and Pattern … | 2022-06-01 |
1038 | Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new co-training procedure for synth-to-real UDA of semantic segmentation models. |
Jose L. Gómez; Gabriel Villalonga; Antonio M. López; | arxiv-cs.CV | 2022-05-31 |
1039 | MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present MVMO (Multi-View, Multi-Object dataset): a synthetic dataset of 116,000 scenes containing randomly placed objects of 10 distinct classes and captured from 25 camera locations in the upper hemisphere. |
Aitor Alvarez-Gila; Joost van de Weijer; Yaxing Wang; Estibaliz Garrote; | arxiv-cs.CV | 2022-05-30 |
1040 | Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Decoupled Pyramid Correlation Network (DPC-Net) that exploits attention mechanisms to fully leverage both low- and high-level features embedded in FCN to segment liver tumor. |
YAO ZHANG et. al. | arxiv-cs.CV | 2022-05-26 |
1041 | BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the camera-to-LiDAR projection throws away the semantic density of camera features, hindering the effectiveness of such methods, especially for semantic-oriented tasks (such as 3D scene segmentation). In this paper, we break this deeply-rooted convention with BEVFusion, an efficient and generic multi-task multi-sensor fusion framework. |
ZHIJIAN LIU et. al. | arxiv-cs.CV | 2022-05-26 |
1042 | Semantic Segmentation for Thermal Images: A Comparative Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Even though there are multiple surveys on semantic segmentation methods, the literature lacks a comprehensive survey centered explicitly around semantic segmentation using infrared spectrum. This work aims to fill this gap by presenting algorithms in the literature and categorizing them by their input images. |
Zülfiye Kütük; Görkem Algan; | arxiv-cs.CV | 2022-05-26 |
1043 | Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new architecture for unsupervised object-centric representation learning and multi-object detection and segmentation, which uses a translation-equivariant attention mechanism to predict the coordinates of the objects present in the scene and to associate a feature vector to each object. |
Bruno Sauvalle; Arnaud de La Fortelle; | arxiv-cs.CV | 2022-05-26 |
1044 | Accelerating The Creation of Instance Segmentation Training Sets Through Bounding Box Annotation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our work proposes to delineate instances in three steps, based on a semi-automatic approach: (1) the extreme points of an object (left-most, right-most, top, bottom pixels) are manually defined, thereby providing the object bounding-box, (2) a universal automatic segmentation tool like Deep Extreme Cut is used to turn the bounded object into a segmentation mask that matches the extreme points; and (3) the predicted mask is manually corrected. |
Niels Sayez; Christophe De Vleeschouwer; | arxiv-cs.CV | 2022-05-23 |
1045 | Towards Broad Learning Networks on Unmanned Mobile Robot for Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article investigates the real-time semantic segmentation in robot engineering applications based on the Broad Learning System (BLS), and a novel Multi-level Enhancement … |
Jiehao Li; Yingpeng Dai; Junzheng Wang; Xiaohang Su; Rui-Dian Ma; | 2022 International Conference on Robotics and Automation … | 2022-05-23 |
1046 | HoloSeg: An Efficient Holographic Segmentation Network for Real-time Scene Parsing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time semantic segmentation is a crucial but challenging dense prediction task for scene parsing. However, the existing CNN-based methods commonly bias the model in favor of … |
Shu Li; Qingqing Yan; Chengju Liu; Ming Liu; Qi Chen; | 2022 International Conference on Robotics and Automation … | 2022-05-23 |
1047 | Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a range image-based, effective and efficient method for solving UDA on LiDAR segmentation. |
Eojindl Yi; Juyoung Yang; Junmo Kim; | arxiv-cs.CV | 2022-05-23 |
1048 | Decoder Denoising Pretraining for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a decoder pretraining approach based on denoising, which can be combined with supervised pretraining of the encoder. |
EMMANUEL BREMPONG ASIEDU et. al. | arxiv-cs.CV | 2022-05-23 |
1049 | Object Insertion Based Data Augmentation for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural network used for the LiDAR semantic segmentation task needs the point-wise labeled point clouds for training, which is more expensive than bounding box annotations. … |
Yuan Ren; Siyan Zhao; Bingbing Liu; | 2022 International Conference on Robotics and Automation … | 2022-05-23 |
1050 | Cityscapes TL++: Semantic Traffic Light Annotations for The Cityscapes Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There is a gap in holistic urban scene understanding between multi-modal datasets for segmentation and object detection on the one hand and traffic light datasets on the other … |
Johannes Janosovits; | 2022 International Conference on Robotics and Automation … | 2022-05-23 |
1051 | WeakLabel3D-Net: A Complete Framework for Real-Scene LiDAR Point Clouds Weakly Supervised Multi-Tasks Understanding IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Existing state-of-the-art 3D point clouds understanding methods only perform well in a fully supervised manner. To the best of our knowledge, there exists no unified framework … |
Kangcheng Liu; Yuzhi Zhao; Z. Gao; Ben M. Chen; | 2022 International Conference on Robotics and Automation … | 2022-05-23 |
1052 | RCANet: Row-Column Attention Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a Row-Column Attention Network (RCANet) to encode globally contextual information. |
B. Lu; Q. Hu; Y. Wang; G. Hu; | icassp | 2022-05-22 |
1053 | Fast Video Object Segmentation Via Dynamic YOLACT Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: VOS can be considered an extension of semantic segmentation from a static image to a dynamic image sequence. Following this idea, we propose a fast VOS framework based on YOLACT, a real-time static image segmentation framework. |
T. Meng; W. Zhang; | icassp | 2022-05-22 |
1054 | Contrastive Translation Learning For Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes an advantageous domain translation mechanism to improve the perceptual ability of the network for accurate unlabeled target data segmentation. |
W. Zeng; W. Fan; D. Shen; Y. Chen; X. Luo; | icassp | 2022-05-22 |
1055 | DCSN: Deformable Convolutional Semantic Segmentation Neural Network for Non-Rigid Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel semantic segmentation network for outdoor and unstructured scenarios for autonomous driving based on deformable convolution and geometric distortion pipelines. |
B. -S. Huang; C. -C. Hsu; W. -T. Liao; H. -Y. Kao; X. -Y. Wang; | icassp | 2022-05-22 |
1056 | Feature Space Message Passing Network for Medical Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve both problems, we propose a novel feature space message passing network (FSMPN) framework. |
J. Sun; K. Zhang; S. Niu; Y. Zhang; Y. Kong; | icassp | 2022-05-22 |
1057 | Deep Markov Clustering for Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we adopt a box-free strategy and incorporate a graph-based clustering method to merge repetitive kernel weights for object instances. |
M. Ye; Y. Zhang; S. Zhu; A. Xie; D. Zhang; | icassp | 2022-05-22 |
1058 | Depth Removal Distillation for RGB-D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, it is extremely challenging to take full advantage of RGB-D semantic segmentation methods for segmenting RGB images without the depth input. To address this challenge, a general depth removal distillation method is proposed to remove depth dependence from RGB-D semantic segmentation model by knowledge distillation, which can be employed to any CNN-based segmentation network structure. |
T. Fang; Z. Liang; X. Shao; Z. Dong; J. Li; | icassp | 2022-05-22 |
1059 | Exploring Category Consistency for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Generating a reliable and detailed pseudo mask label is the main challenge for improving the quality of predicted mask. In this paper, we propose Category Consistency Mask Refinement (CCMR) to explore the category consistency cued with the input image, and inject such information to mask refinement, guaranteeing the completeness of the refined mask. |
Z. Xie; H. Lu; | icassp | 2022-05-22 |
1060 | DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To improve the semantic boundary accuracy, we propose low complexity Deep Guided Decoder (DGD) networks, trained with a novel Semantic Boundary-Aware Learning (SBAL) strategy. |
Q. Liu; H. Su; M. El-Khamy; K. -B. Song; | icassp | 2022-05-22 |
1061 | HCFormer: Unified Image Segmentation with Hierarchical Clustering Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a simpler, more interpretable architecture, called HCFormer. |
Teppei Suzuki; | arxiv-cs.CV | 2022-05-19 |
1062 | PFD-SLAM: A New RGB-D SLAM for Dynamic Indoor Environments Based on Non-Prior Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Now, most existing dynamic RGB-D SLAM methods are based on deep learning or mathematical models. Abundant training sample data is necessary for deep learning, and the selection … |
Chenyang Zhang; Rongchun Zhang; Sheng Jin; Xuefeng Yi; | Remote. Sens. | 2022-05-19 |
1063 | Semantically Accurate Super-Resolution Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel architecture and domain-specific feature loss, allowing super-resolution to operate as a pre-processing step to increase the performance of downstream computer vision tasks, specifically semantic segmentation. |
Tristan Frizza; Donald G. Dansereau; Nagita Mehr Seresht; Michael Bewley; | arxiv-cs.CV | 2022-05-17 |
1064 | Scribble2D5: Weakly-Supervised Volumetric Image Segmentation Via Scribble Annotations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a scribble-based volumetric image segmentation, Scribble2D5, which tackles 3D anisotropic image segmentation and improves boundary prediction. |
Qiuhui Chen; Yi Hong; | arxiv-cs.CV | 2022-05-13 |
1065 | Weakly-supervised Segmentation of Referring Expressions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we address image segmentation from referring expressions, a problem that has so far only been addressed in a fully-supervised setting. |
Robin Strudel; Ivan Laptev; Cordelia Schmid; | arxiv-cs.CV | 2022-05-10 |
1066 | STDC-MA Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our approach implements the effective fusion between high-level features and low-level features. |
XIAOCHUN LEI et. al. | arxiv-cs.CV | 2022-05-09 |
1067 | Improved-Flow Warp Module for Remote Sensing Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this letter, we proposed a new module, called improved-flow warp module (IFWM), to adjust semantic feature maps across different scales for remote sensing semantic segmentation. |
Yinjie Zhang; Yi Liu; Wei Guo; | arxiv-cs.CV | 2022-05-09 |
1068 | Distilling Inter-Class Distance for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Knowledge distillation is widely adopted in semantic segmentation to reduce the computation cost.The previous knowledge distillation methods for semantic segmentation focus on pixel-wise feature alignment and intra-class feature variation distillation, neglecting to transfer the knowledge of the inter-class distance in the feature space, which is important for semantic segmentation. To address this issue, we propose an Inter-class Distance Distillation (IDD) method to transfer the inter-class distance in the feature space from the teacher network to the student network. |
Zhengbo Zhang; Chunluan Zhou; Zhigang Tu; | arxiv-cs.CV | 2022-05-07 |
1069 | Mixed-UNet: Refined Class Activation Mapping for Weakly-supervised Semantic Segmentation with Multi-scale Inference IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) … |
YANG LIU et. al. | Frontiers of Computer Science | 2022-05-06 |
1070 | Semantics-Guided Moving Object Segmentation with 3D LiDAR Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a semantics-guided convolutional neural network for moving object segmentation. |
Shuo Gu; Suling Yao; Jian Yang; Hui Kong; | arxiv-cs.CV | 2022-05-06 |
1071 | Cross-view Transformers for Real-time Map-view Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present cross-view transformers, an efficient attention-based model for map-view semantic segmentation from multiple cameras. |
Brady Zhou; Philipp Krähenbühl; | arxiv-cs.CV | 2022-05-05 |
1072 | Point Cloud Semantic Segmentation Using Multi Scale Sparse Convolution Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this letter, we propose a feature extraction module based on multi-scale sparse convolution and a feature selection module based on channel attention and build a point cloud segmentation network framework based on this. |
Yunzheng Su; Lei Jiang; Jie Cao; | arxiv-cs.CV | 2022-05-03 |
1073 | Application of Belief Functions to Medical Image Segmentation: A Review IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide an introduction to the topic of medical image segmentation methods using belief function theory. |
Ling Huang; Su Ruan; Thierry Denoeux; | arxiv-cs.CV | 2022-05-03 |
1074 | 3D Semantic Scene Perception Using Distributed Smart Edge Sensors Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a system for 3D semantic scene perception consisting of a network of distributed smart edge sensors. |
Simon Bultmann; Sven Behnke; | arxiv-cs.CV | 2022-05-03 |
1075 | Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the state-of-the-art, single or multiple deep neural networks are used for either object recognition, semantic segmentation, or human pose estimation. In contrast, we propose our Multitask Detection, Segmentation and Pose Estimation Network (MDSP) — the first multitask network solving all these three tasks jointly in the area of occupancy monitoring. |
Nikolas Ebert; Patrick Mangat; Oliver Wasenmüller; | arxiv-cs.CV | 2022-05-03 |
1076 | Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation By Deep Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our understanding of the learning behavior of DNNs trained by noisy segmentation labels remains limited. We address this deficiency in both binary segmentation of biological microscopy images and multi-class segmentation of natural images. |
Yaoru Luo; Guole Liu; Yuanhao Guo; Ge Yang; | arxiv-cs.CV | 2022-04-30 |
1077 | DoPose-6D Dataset for Object Segmentation and 6D Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We train a Mask R-CNN model that is practical to be used in industry and robotic grasping applications. |
Anas Gouda; Abraham Ghanem; Christopher Reining; | arxiv-cs.RO | 2022-04-28 |
1078 | Self-Supervised Learning of Object Parts for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, learning dense representations is challenging, as in the unsupervised context it is not clear how to guide the model to learn representations that correspond to various potential object categories. In this paper, we argue that self-supervised learning of object parts is a solution to this issue. |
Adrian Ziegler; Yuki M. Asano; | arxiv-cs.CV | 2022-04-27 |
1079 | H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow … |
PEIXIAN LIANG et. al. | IEEE Transactions on Medical Imaging | 2022-04-21 |
1080 | Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a simple yet effective proposal-free architecture for lidar panoptic segmentation. |
Qi Chen; Sourabh Vora; | arxiv-cs.CV | 2022-04-19 |
1081 | Semi-supervised 3D Shape Segmentation with Multilevel Consistency and Part Substitution Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a large amount of unlabeled 3D data. |
CHUN-YU SUN et. al. | arxiv-cs.CV | 2022-04-19 |
1082 | Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the problem of Semantic Segmentation for agricultural aerial imagery. |
Antonio Tavera; Edoardo Arnaudo; Carlo Masone; Barbara Caputo; | arxiv-cs.CV | 2022-04-17 |
1083 | Language-Grounded Indoor 3D Semantic Segmentation in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This large number of class categories also induces a large natural class imbalance, both of which are challenging for existing 3D semantic segmentation methods. To learn more robust 3D features in this context, we propose a language-driven pre-training method to encourage learned 3D features that might have limited training examples to lie close to their pre-trained text embeddings. |
David Rozenberszki; Or Litany; Angela Dai; | arxiv-cs.CV | 2022-04-16 |
1084 | Interactive Object Segmentation in 3D Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we present an interactive 3D object segmentation method in which the user interacts directly with the 3D point cloud. |
Theodora Kontogianni; Ekin Celikkan; Siyu Tang; Konrad Schindler; | arxiv-cs.CV | 2022-04-14 |
1085 | Local Transformer Network on 3D Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is an important component in understanding the 3D point cloud scene. Whether we can effectively obtain local and global contextual information from points is … |
Zijun Wang; Yun Wang; Lifeng An; Jian Liu; Haiyang Liu; | Inf. | 2022-04-14 |
1086 | An FA-SegNet Image Segmentation Model Based on Fuzzy Attention and Its Application in Cardiac MRI Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Ruiping Yang; Jiguo Yu; Jian Yin; Kun Liu; Shaohua Xu; | International Journal of Computational Intelligence Systems | 2022-04-12 |
1087 | Modified U‐Net for Cytological Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning–based medical image segmentation is henceforth widely established as a powerful segmentation process. This article proposes a new U‐Net architecture based on a … |
Mourtada Benazzouz; M. Benomar; Youcef Moualek; | International Journal of Imaging Systems and Technology | 2022-04-12 |
1088 | High-Resolution Boundary-Constrained and Context-Enhanced Network for Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The technology of remote sensing image segmentation has made great progress in recent years. However, there are still several challenges which need to be addressed (e.g., ground … |
Yizhe Xu; Jie Jiang; | Remote. Sens. | 2022-04-12 |
1089 | Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This manipulation is realized in an anti-adversarial manner, so that the original image is perturbed along pixel gradients in directions opposite to those used in an adversarial attack. This process enhances non-discriminative yet class-relevant features, which make an insufficient contribution to previous attribution maps, so that the resulting AdvCAM identifies more regions of the target object. |
Jungbeom Lee; Eunji Kim; Jisoo Mok; Sungroh Yoon; | arxiv-cs.CV | 2022-04-11 |
1090 | HFT: Lifting Perspective Representations Via Hybrid Feature Transformation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we empirically analyze the vital differences between CBFT and CFFT. |
JIAYU ZOU et. al. | arxiv-cs.CV | 2022-04-11 |
1091 | RGB-D Semantic SLAM for Surgical Robot Navigation in The Operating Room Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a method for semantic dense reconstruction of the OR scene using multiple RGB-D cameras attached and registered to the da Vinci Xi surgical system. |
Cong Gao; Dinesh Rabindran; Omid Mohareri; | arxiv-cs.RO | 2022-04-11 |
1092 | Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents Video K-Net, a simple, strong, and unified framework for fully end-to-end video panoptic segmentation. |
XIANGTAI LI et. al. | arxiv-cs.CV | 2022-04-10 |
1093 | Scale Invariant Semantic Segmentation with RGB-D Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a neural network architecture for scale-invariant semantic segmentation using RGB-D images. |
Mohammad Dawud Ansari; Alwi Husada; Didier Stricker; | arxiv-cs.CV | 2022-04-10 |
1094 | Automatic Semantic Segmentation of Benthic Habitats Using Images from Towed Underwater Camera in A Complex Shallow Water Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Underwater image segmentation is useful for benthic habitat mapping and monitoring; however, manual annotation is time-consuming and tedious. We propose automated segmentation of … |
H. Mohamed; K. Nadaoka; Takashi Nakamura; | Remote. Sens. | 2022-04-09 |
1095 | LiDAR-Based Real-Time Panoptic Segmentation Via Spatiotemporal Sequential Data Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fast and accurate semantic scene understanding is essential for mobile robots to operate in complex environments. An emerging research topic, panoptic segmentation, serves such a … |
WEIQI WANG et. al. | Remote. Sens. | 2022-04-07 |
1096 | Semi-Supervised Adversarial Semantic Segmentation Network Using Transformer and Multiscale Convolution for High-Resolution Remote Sensing Imagery IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a crucial approach for remote sensing interpretation. High-precision semantic segmentation results are obtained at the cost of manually collecting massive … |
YALAN ZHENG et. al. | Remote. Sens. | 2022-04-07 |
1097 | Instance Segmentation of Unlabeled Modalities Via Cyclic Segmentation GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Cyclic Segmentation Generative Adversarial Network (CySGAN) that conducts image translation and instance segmentation jointly using a unified framework. |
LEANDER LAUENBURG et. al. | arxiv-cs.CV | 2022-04-06 |
1098 | An Empirical Study of Remote Sensing Pretraining IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Since natural images inevitably present a large domain gap relative to aerial images, probably limiting the finetuning performance on downstream aerial scene tasks. This issue motivates us to conduct an empirical study of remote sensing pretraining (RSP) on aerial images. |
Di Wang; Jing Zhang; Bo Du; Gui-Song Xia; Dacheng Tao; | arxiv-cs.CV | 2022-04-06 |
1099 | Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an Inter-class Separation and Intra-class Aggregation (ISIA) mechanism. |
Bo Yuan; Danpei Zhao; Shuai Shao; Zehuan Yuan; Changhu Wang; | arxiv-cs.CV | 2022-04-05 |
1100 | Technical Report on Subspace Pyramid Fusion Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The following is a technical report to test the validity of the proposed Subspace Pyramid Fusion Module (SPFM) to capture multi-scale feature representations, which is more useful for semantic segmentation. In this investigation, we have proposed the Efficient Shuffle Attention Module(ESAM) to reconstruct the skip-connections paths by fusing multi-level global context features. |
Mohammed A. M. Elhassan; Chenhui Yang; Chenxi Huang; Tewodros Legesse Munea; | arxiv-cs.CV | 2022-04-04 |
1101 | Adversarially Robust Segmentation Models Learn Perceptually-aligned Gradients Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using a simple optimizer, we demonstrate that adversarially-trained semantic segmentation networks can be used to perform image inpainting and generation. |
Pedro Sandoval-Segura; | arxiv-cs.CV | 2022-04-03 |
1102 | DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unmanned Aerial Vehicles (UAVs) are the promising “Flying IoT” devices of the future, which can be equipped with various sensors and cognitive capabilities to perform numerous … |
A. CHAKRAVARTHY et. al. | IEEE Transactions on Vehicular Technology | 2022-04-01 |
1103 | Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel framework STswinCL that explores the complementary intra- and inter-video relations to boost segmentation performance, by progressively capturing the global context. |
YUEMING JIN et. al. | arxiv-cs.CV | 2022-03-29 |
1104 | Abstract Flow for Temporal Semantic Segmentation on The Permutohedral Lattice Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we extend a backbone LatticeNet to process temporal point cloud data. |
Peer Schütt; Radu Alexandru Rosu; Sven Behnke; | arxiv-cs.CV | 2022-03-29 |
1105 | Image Segmentation with Adaptive Spatial Priors from Joint Registration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve such problems, in this work we present a segmentation model with adaptive spatial priors from joint registration. |
Haifeng Li; Weihong Guo; Jun Liu; Li Cui; Dongxing Xie; | arxiv-cs.CV | 2022-03-29 |
1106 | Self-Supervised Leaf Segmentation Under Complex Lighting Conditions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a self-supervised leaf segmentation framework consisting of a self-supervised semantic segmentation model, a color-based leaf segmentation algorithm, and a self-supervised color correction model. |
XUFENG LIN et. al. | arxiv-cs.CV | 2022-03-29 |
1107 | Feature Selective Transformer for Semantic Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on fusing multi-scale features from Transformer-based backbones for semantic segmentation, and propose a Feature Selective Transformer (FeSeFormer), which aggregates features from all scales (or levels) for each query feature. |
Fangjian Lin; Tianyi Wu; Sitong Wu; Shengwei Tian; Guodong Guo; | arxiv-cs.CV | 2022-03-26 |
1108 | Semantic Image Segmentation with Feature Fusion Based on Laplacian Pyramid Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yongsheng Chen; | Neural Processing Letters | 2022-03-26 |
1109 | Contrastive Learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Contrastive learning for Class-agnostic Activation Map (C$^2$AM) generation only using unlabeled image data, without the involvement of image-level supervision. |
JINHENG XIE et. al. | arxiv-cs.CV | 2022-03-25 |
1110 | Self-supervised Semantic Segmentation Grounded in Visual Concepts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a self-supervised pixel representation learning method for semantic segmentation by using visual concepts (i.e., groups of pixels with semantic meanings, such as parts, objects, and scenes) extracted from images. |
Wenbin He; William Surmeier; Arvind Kumar Shekar; Liang Gou; Liu Ren; | arxiv-cs.CV | 2022-03-25 |
1111 | C2 AM: Contrastive Learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While class activation map (CAM) generated by image classification network has been widely used for weakly su-pervised object localization (WSOL) and semantic segmentation (WSSS), … |
JINHENG XIE et. al. | 2022 IEEE/CVF Conference on Computer Vision and Pattern … | 2022-03-25 |
1112 | StructToken : Rethinking Semantic Segmentation with Structural Prior IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new paradigm for semantic segmentation, named structure-aware extraction. |
FANGJIAN LIN et. al. | arxiv-cs.CV | 2022-03-23 |
1113 | GOSS: Towards Generalized Open-set Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present and study a new image segmentation task, called Generalized Open-set Semantic Segmentation (GOSS). |
JIE HONG et. al. | arxiv-cs.CV | 2022-03-22 |
1114 | Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes Via Cross-modal Distillation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work investigates learning pixel-wise semantic image segmentation in urban scenes without any manual annotation, just from the raw non-curated data collected by cars which, equipped with cameras and LiDAR sensors, drive around a city. |
ANTONIN VOBECKY et. al. | arxiv-cs.CV | 2022-03-21 |
1115 | Semantic Segmentation with Active Semi-Supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, it would be ideal to minimize the number of human annotations needed when creating a new dataset. Here, we address this problem by proposing a novel algorithm that combines active learning and semi-supervised learning. |
Aneesh Rangnekar; Christopher Kanan; Matthew Hoffman; | arxiv-cs.CV | 2022-03-21 |
1116 | Soft-CP: A Credible and Effective Data Augmentation for Semantic Segmentation of Medical Lesions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The medical datasets are usually faced with the problem of scarcity and data imbalance. Moreover, annotating large datasets for semantic segmentation of medical lesions is … |
PINGPING DAI et. al. | ArXiv | 2022-03-20 |
1117 | Towards Robust Semantic Segmentation of Accident Scenes Via Multi-Source Mixed Sampling and Meta-Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Multi-source Meta-learning Unsupervised Domain Adaptation (MMUDA) framework, to improve the generalization of segmentation transformers to extreme accident scenes. |
XINYU LUO et. al. | arxiv-cs.CV | 2022-03-19 |
1118 | Semantic SLAM Based on Deep Learning in Endocavity Environment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Traditional endoscopic treatment methods restrict the surgeon’s field of view. New approaches to laparoscopic visualization have emerged due to the advent of robot-assisted … |
HAIBIN WU et. al. | Symmetry | 2022-03-19 |
1119 | Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, this paper presents a Self-supervised Low-Rank Network (SLRNet) for single-stage WSSS and SSSS. |
JUNWEN PAN et. al. | arxiv-cs.CV | 2022-03-19 |
1120 | Multi-similarity Based Hyperrelation Network for Few-shot Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an effective Multi-similarity Hyperrelation Network (MSHNet) to tackle the few-shot semantic segmentation problem. |
XIANGWEN SHI et. al. | arxiv-cs.CV | 2022-03-17 |
1121 | Object Discovery and Representation Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, by introducing hand-crafted image segmentations to define regions of interest, or specialized augmentation strategies, these methods sacrifice the simplicity and generality that makes SSL so powerful. Instead, we propose a self-supervised learning paradigm that discovers this image structure by itself. |
OLIVIER J. HÉNAFF et. al. | arxiv-cs.CV | 2022-03-16 |
1122 | SATS: Self-Attention Transfer for Continual Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Different from existing solutions, this study proposes to transfer a new type of information relevant to knowledge, i.e. the relationships between elements (Eg. |
YIQIAO QIU et. al. | arxiv-cs.CV | 2022-03-15 |
1123 | PNM: Pixel Null Model for General Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we argue that assigning proper prior weights to error-prone pixels such as object boundaries can significantly improve the segmentation quality. |
Han Zhang; Zihao Zhang; Wenhao Zheng; Wei Xu; | arxiv-cs.CV | 2022-03-13 |
1124 | Hyperbolic Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we show that hyperbolic manifolds provide a valuable alternative for image segmentation and propose a tractable formulation of hierarchical pixel-level classification in hyperbolic space. |
Mina GhadimiAtigh; Julian Schoep; Erman Acar; Nanne van Noord; Pascal Mettes; | arxiv-cs.CV | 2022-03-11 |
1125 | CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike previous modality-specific methods, in this work, we propose a unified fusion framework, CMX, for RGB-X semantic segmentation. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2022-03-09 |
1126 | All You Need Is LUV: Unsupervised Collection of Labeled Images Using Invisible UV Fluorescent Indicators Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes Labels from UltraViolet (LUV), a novel framework that enables rapid, labeled data collection in real manipulation environments without human labeling. |
Brijen Thananjeyan; Justin Kerr; Huang Huang; Joseph E. Gonzalez; Ken Goldberg; | arxiv-cs.CV | 2022-03-09 |
1127 | UNeXt: MLP-based Rapid Medical Image Segmentation Network IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: UNet and its latest extensions like TransUNet have been the leading medical image segmentation methods in recent years. However, these networks cannot be effectively adopted for … |
Jeya Maria Jose Valanarasu; Vishal M. Patel; | International Conference on Medical Image Computing and … | 2022-03-09 |
1128 | BEVSegFormer: Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present BEVSegFormer, an effective transformer-based method for BEV semantic segmentation from arbitrary camera rigs. |
Lang Peng; Zhirong Chen; Zhangjie Fu; Pengpeng Liang; Erkang Cheng; | arxiv-cs.CV | 2022-03-08 |
1129 | Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel Deep Multi-branch Aggregation Network (called DMA-Net) based on the encoder-decoder structure to perform real-time semantic segmentation in street scenes. |
XI WENG et. al. | arxiv-cs.CV | 2022-03-08 |
1130 | Semantic Segmentation in Art Paintings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an unsupervised method for semantic segmentation of paintings using domain adaptation. |
Nadav Cohen; Yael Newman; Ariel Shamir; | arxiv-cs.CV | 2022-03-07 |
1131 | Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Taking depth into consideration has been proven to improve the performance of semantic segmentation through providing additional geometry information. Most existing works adopt a … |
Li Yan; Jianming Huang; Hong Xie; Pengcheng Wei; Zhao Gao; | Remote. Sens. | 2022-03-07 |
1132 | Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, to address the aforementioned problem, we introduce Transformers, which naturally integrate global information, to generate more integral initial pseudo labels for end-to-end WSSS. |
Lixiang Ru; Yibing Zhan; Baosheng Yu; Bo Du; | arxiv-cs.CV | 2022-03-05 |
1133 | Objective Object Segmentation Visual Quality Evaluation: Quality Measure and Pooling Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Objective object segmentation visual quality evaluation is an emergent member of the visual quality assessment family. It aims to develop an objective measure instead of a … |
Ran Shi; Jing Ma; K. Ngan; Jian Xiong; Tong Qiao; | ACM Transactions on Multimedia Computing, Communications, … | 2022-03-04 |
1134 | Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these challenges, we propose a curriculum-style local-to-global cross-domain adaptation framework for the segmentation of VHR RSIs. |
Bo Zhang; Tao Chen; Bin Wang; | arxiv-cs.CV | 2022-03-03 |
1135 | HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction. |
YUNZE LIU et. al. | arxiv-cs.CV | 2022-03-03 |
1136 | SegTAD: Precise Temporal Action Detection Via Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an end-to-end framework SegTAD composed of a 1D semantic segmentation network (1D-SSN) and a proposal detection network (PDN). |
Chen Zhao; Merey Ramazanova; Mengmeng Xu; Bernard Ghanem; | arxiv-cs.CV | 2022-03-03 |
1137 | Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To get around this domain difference and bring together semantic annotations from pinhole- and 360-degree surround-visuals, we propose to learn object deformations and panoramic image distortions in the Deformable Patch Embedding (DPE) and Deformable MLP (DMLP) components which blend into our Transformer for PAnoramic Semantic Segmentation (Trans4PASS) model. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2022-03-02 |
1138 | MT-DSSD: Multi-task Deconvolutional Single Shot Detector for Object Detection, Segmentation, and Grasping Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A robot that picks and places the wide variety of items in a logistics warehouse must detect and recognize items from images and then decide which points to grasp. Our Multi-task … |
Ryosuke Araki; Tsubasa Hirakawa; Takayoshi Yamashita; H. Fujiyoshi; | Advanced Robotics | 2022-03-02 |
1139 | Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To realize the real-time and high-precision segmentation, we propose a new method named Boundary Corrected Multi-scale Fusion Network, which uses the designed Low-resolution Multi-scale Fusion Module to extract semantic information. |
Tianjiao Jiang; Yi Jin; Tengfei Liang; Xu Wang; Yidong Li; | arxiv-cs.CV | 2022-03-01 |
1140 | Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Moreover, the temporal information is not taken into consideration in the single scan segmentation task. To tackle these problems, we propose a novel approach to semantic segmentation for LiDAR sequences named Meta-RangeSeg, where a new range residual image representation is introduced to capture the spatial-temporal information. |
Song Wang; Jianke Zhu; Ruixiang Zhang; | arxiv-cs.CV | 2022-02-27 |
1141 | Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Extracting buildings and roads from remote sensing images is very important in the area of land cover monitoring, which is of great help to urban planning. Currently, a deep … |
Zhongyu Sun; Wangping Zhou; Chen Ding; Min Xia; | ISPRS Int. J. Geo Inf. | 2022-02-25 |
1142 | RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present RescueNet, a meticulously curated high-resolution post-disaster dataset that includes detailed classification and semantic segmentation annotations. |
Maryam Rahnemoonfar; Tashnim Chowdhury; Robin Murphy; | arxiv-cs.CV | 2022-02-24 |
1143 | Fully Self-Supervised Learning for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a fully self-supervised framework for semantic segmentation(FS^4). |
YUAN WANG et. al. | arxiv-cs.CV | 2022-02-24 |
1144 | GroupViT: Semantic Segmentation Emerges from Text Supervision IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead, in this paper, we propose to bring back the grouping mechanism into deep networks, which allows semantic segments to emerge automatically with only text supervision. |
JIARUI XU et. al. | arxiv-cs.CV | 2022-02-22 |
1145 | PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car Using Point Convolution and Sparse Convolution Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the fast voxel-based semantic segmentation model using Point Convolution and 3D Sparse Convolution (PCSCNet). |
Jaehyun Park; Chansoo Kim; Kichun Jo; | arxiv-cs.CV | 2022-02-21 |
1146 | Visual Attention Network IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: (3) It only captures spatial adaptability but ignores channel adaptability. In this paper, we propose a novel linear attention named large kernel attention (LKA) to enable self-adaptive and long-range correlations in self-attention while avoiding its shortcomings. |
Meng-Hao Guo; Cheng-Ze Lu; Zheng-Ning Liu; Ming-Ming Cheng; Shi-Min Hu; | arxiv-cs.CV | 2022-02-20 |
1147 | Semantic Segmentation (U-Net) of Archaeological Features in Airborne Laser Scanning – Example of The Białowieża Forest IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Airborne Laser Scanning (ALS) technology can be used to identify features of terrain relief in forested areas, possibly leading to the discovery of previously unknown … |
PAWEŁ ZBIGNIEW BANASIAK et. al. | Remote. Sens. | 2022-02-18 |
1148 | CDSFusion: Dense Semantic SLAM for Indoor Environment Using CPU Computing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unmanned Aerial Vehicles (UAVs) require the ability to robustly perceive surrounding scenes for autonomous navigation. The semantic reconstruction of the scene is a truly … |
SHENG WANG et. al. | Remote. Sens. | 2022-02-17 |
1149 | An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these challenges, this research proposes an active and contrastive learning-based method that does not rely on pixel-wise labels, but only on patch-based weak annotations for model learning. |
Biao Gao; Xijun Zhao; Huijing Zhao; | arxiv-cs.CV | 2022-02-17 |
1150 | Shift-Memory Network for Temporal Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For real-time tasks based on dynamic scenes, we extend semantic segmentation in temporal domain to enhance the spatial accuracy with motion. |
Guo Cheng; Jiang Yu Zheng; | arxiv-cs.CV | 2022-02-16 |
1151 | Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a learnable module that can be placed on top of existing segmentation networks for performing few-shot segmentation. |
Jun Seo; Young-Hyun Park; Sung Whan Yoon; Jaekyun Moon; | arxiv-cs.CV | 2022-02-14 |
1152 | Language-driven Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a language-driven approach that enables synthesis of zero-shot semantic segmentation models from arbitrary label sets at test time. |
Boyi Li; Kilian Q Weinberger; Serge Belongie; Vladlen Koltun; Rene Ranftl; | iclr | 2022-02-08 |
1153 | A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Innovated by the Vector of Locally Aggregated Descriptor (VLAD), in this paper, we propose a novel image descriptor with aggregated semantic skeleton representation (SSR), dubbed SSR-VLAD, for the VPR under drastic appearance-variation of environments. |
NIE JIWEI et. al. | arxiv-cs.CV | 2022-02-08 |
1154 | Unsupervised Discovery of Object Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inferring object-centric factorized 3D scene representations from a single image, learned without 3D geometry or segmentation supervision. |
Hong-Xing Yu; Leonidas Guibas; Jiajun Wu; | iclr | 2022-02-08 |
1155 | DGS-SLAM: A Fast and Robust RGBD SLAM in Dynamic Environments Combined By Geometric and Semantic Information IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visual Simultaneous Localization and Mapping (VSLAM) is a prerequisite for robots to accomplish fully autonomous movement and exploration in unknown environments. At present, many … |
LI YAN et. al. | Remote. Sens. | 2022-02-08 |
1156 | Bootstrapping Semantic Segmentation with Regional Contrast IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a pixel-level contrastive learning framework to achieve a high-quality semantic segmeantation model trained with very few human annotations. |
Shikun Liu; Shuaifeng Zhi; Edward Johns; Andrew Davison; | iclr | 2022-02-08 |
1157 | Wireless Transmission of Images with The Assistance of Multi-level Semantic Information IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic-oriented communication has been considered a promising method to boost bandwidth efficiency by only transmitting the semantics of the data. In this paper, we propose a … |
Zhenguo Zhang; Qianqian Yang; Shibo He; Mingyang Sun; Jiming Chen; | 2022 International Symposium on Wireless Communication … | 2022-02-08 |
1158 | PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel deep learning-based framework to interpret 3D urban scenes represented as textured meshes. |
Weixiao Gao; Liangliang Nan; Bas Boom; Hugo Ledoux; | arxiv-cs.CV | 2022-02-07 |
1159 | Close The Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on a very practical problem: image segmentation under rain conditions. |
Yi Li; Yi Chang; Changfeng Yu; Luxin Yan; | aaai | 2022-02-07 |
1160 | Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Most existing methods resort to classification-based Class Activation Maps (CAMs) to play as the initial pseudo labels, which tend to focus on the discriminative image regions and lack customized characteristics for the segmentation task. To alleviate this issue, we propose a novel activation modulation and recalibration (AMR) scheme, which leverages a spotlight branch and a compensation branch to obtain weighted CAMs that can provide recalibration supervision and task-specific concepts. |
Jie Qin; Jie Wu; Xuefeng Xiao; Lujun Li; Xingang Wang; | aaai | 2022-02-07 |
1161 | Active Boundary Loss for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a novel active boundary loss for semantic segmentation. |
CHI WANG et. al. | aaai | 2022-02-07 |
1162 | Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple, flexible, and general method for semantic segmentation, termed Cross-Dataset Collaborative Learning (CDCL). |
LI WANG et. al. | aaai | 2022-02-07 |
1163 | Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Due to the high similarity of different sub-categories and large variations in poses, scales, rotations, and color of the same sub-category in the fine-grained image set, the performance of traditional semantic segmentation methods will decline sharply. To alleviate these dilemmas, a new approach, named Class Guided Channel Weighting Network (CGCWNet), is developed in this paper to enable fine-grained semantic segmentation. |
Xiang Zhang; Wanqing Zhao; Hangzai Luo; Jinye Peng; Jianping Fan; | aaai | 2022-02-07 |
1164 | Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These methods usually treat the misclassified and correctly classified pixels equally, hence misleading the optimization process and causing inconsistent intra-class pixel feature representations in the embedding space during learning. In this paper, we propose the auxiliary representation calibration head (RCH), which consists of the image decoupling, prototype clustering, error calibration modules and a metric loss function, to calibrate these error-prone feature representations for better intra-class consistency and segmentation performance. |
Hualiang Wang; Huanpeng Chu; Siming FU; Zuozhu Liu; Haoji Hu; | aaai | 2022-02-07 |
1165 | The Devil Is in The Labels: Semantic Segmentation from Sentences IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an approach to semantic segmentation that achieves state-of-the-art supervised performance when applied in a zero-shot setting. |
Wei Yin; Yifan Liu; Chunhua Shen; Anton van den Hengel; Baichuan Sun; | arxiv-cs.CV | 2022-02-04 |
1166 | StandardSim: A Synthetic Dataset For Retail Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the lack of datasets for retail, we present StandardSim, a large-scale photorealistic synthetic dataset featuring annotations for semantic segmentation, instance segmentation, depth estimation, and object detection. |
Cristina Mata; Nick Locascio; Mohammed Azeem Sheikh; Kenny Kihara; Dan Fischetti; | arxiv-cs.CV | 2022-02-04 |
1167 | SRSe-Net: Super-Resolution-Based Semantic Segmentation Network for Green Tide Extraction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the phenomenon of mixed pixels in low-resolution remote sensing images, the green tide spectral features with low Enteromorpha coverage are not obvious. Super-resolution … |
Binge Cui; Haoqing Zhang; Wei-Peng Jing; Huifang Liu; Jianming Cui; | Remote. Sens. | 2022-02-02 |
1168 | Combining Deep Learning and Ontology Reasoning for Remote Sensing Image Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yansheng Li; Song Ouyang; Yongjun Zhang; | Knowl. Based Syst. | 2022-02-01 |
1169 | CARL-D: A Vision Benchmark Suite and Large Scale Dataset for Vehicle Detection and Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View |
M. A. Butt; F. Riaz; | Signal Process. Image Commun. | 2022-02-01 |
1170 | MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an end-to-end neural architecture, Multiple View Pointwise Net, MVP-Net, to efficiently and directly infer large-scale outdoor point cloud without KNN or any complex pre/postprocessing. |
CHUANYU LUO et. al. | arxiv-cs.CV | 2022-01-30 |
1171 | Class-Aware Adversarial Transformers for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present CASTformer, a novel type of adversarial transformers, for 2D medical image segmentation. |
CHENYU YOU et. al. | arxiv-cs.CV | 2022-01-25 |
1172 | Efficient Instance Segmentation Paradigm for Interpreting SAR and Optical Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Instance segmentation in remote sensing images is challenging due to the object-level discrimination and pixel-level segmentation for the objects. In remote sensing applications, … |
FAN FAN et. al. | Remote. Sens. | 2022-01-23 |
1173 | Classroom Slide Narration System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To utilize the location of the logical regions for slide image segmentation, we propose the architecture, Classroom Slide Segmentation Network (CSSN). |
Jobin K. V.; Ajoy Mondal; C. V. Jawahar; | arxiv-cs.CV | 2022-01-21 |
1174 | A Comprehensive Study of Vision Transformers on Dense Prediction Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these questions, we study and compare VT and CNN architectures as feature extractors in object detection and semantic segmentation. |
KISHAAN JEEVESWARAN et. al. | arxiv-cs.CV | 2022-01-21 |
1175 | MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel Multi-Strategy Contrastive Learning (MuSCLe) framework to obtain enhanced feature representations and improve WSSS performance by exploiting similarity and dissimilarity of contrastive sample pairs at image, region, pixel and object boundary levels. |
KUNHAO YUAN et. al. | arxiv-cs.CV | 2022-01-18 |
1176 | Improving Performance of Semantic Segmentation CycleGANs By Noise Injection Into The Latent Segmentation Space Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To combat this, we propose a noise injection, based either on quantization noise or on Gaussian noise addition to avoid this disadvantageous information flow in the cycle architecture. |
Jonas Löhdefink; Tim Fingscheidt; | arxiv-cs.CV | 2022-01-17 |
1177 | Prototype Guided Network for Anomaly Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a Prototype Guided Anomaly segmentation Network (PGAN) is proposed to extract semantic prototypes for in-distribution training data from limited annotated images. |
Yiqing Hao; Yi Jin; Gaoyun An; | arxiv-cs.CV | 2022-01-15 |
1178 | BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
JONGHWAN MUN et. al. | Asian Conference on Computer Vision | 2022-01-14 |
1179 | Domain Adaptation in LiDAR Semantic Segmentation Via Alternating Skip Connections and Hybrid Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we address the challenging problem of domain adaptation in LiDAR semantic segmentation. |
EDUARDO R. CORRAL-SOTO et. al. | arxiv-cs.CV | 2022-01-14 |
1180 | SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Manually annotating complex scene point cloud datasets is both costly and error-prone. To reduce the reliance on labeled data, a new model called SnapshotNet is proposed as a … |
Xingye Li; Ling Zhang; Zhigang Zhu; | arxiv-cs.CV | 2022-01-13 |
1181 | Boundary-aware Self-supervised Learning for Video Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this, we introduce three novel boundary-aware pretext tasks: 1) Shot-Scene Matching (SSM), 2) Contextual Group Matching (CGM) and 3) Pseudo-boundary Prediction (PP); SSM and CGM guide the model to maximize intra-scene similarity and inter-scene discrimination while PP encourages the model to identify transitional moments. |
JONGHWAN MUN et. al. | arxiv-cs.CV | 2022-01-13 |
1182 | Pyramid Fusion Transformer for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To mine for rich semantic information across the feature pyramid, we propose a transformer-based Pyramid Fusion Transformer (PFT) for per-mask approach semantic segmentation with multi-scale features. |
ZIPENG QIN et. al. | arxiv-cs.CV | 2022-01-11 |
1183 | Language-driven Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present LSeg, a novel model for language-driven semantic image segmentation. |
Boyi Li; Kilian Q. Weinberger; Serge Belongie; Vladlen Koltun; René Ranftl; | arxiv-cs.CV | 2022-01-10 |
1184 | Superpixel-Based Attention Graph Neural Network for Semantic Segmentation in Aerial Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is one of the significant tasks in understanding aerial images with high spatial resolution. Recently, Graph Neural Network (GNN) and attention mechanism … |
QI DIAO et. al. | Remote. Sens. | 2022-01-10 |
1185 | FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents FogAdapt, a novel approach for domain adaptation of semantic segmentation for dense foggy scenes. |
Javed Iqbal; Rehan Hafiz; Mohsen Ali; | arxiv-cs.CV | 2022-01-07 |
1186 | Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address these issues in ASP, with perspectives from tile-level scene classification to pixel-wise semantic labeling. |
Yang Long; Gui-Song Xia; Liangpei Zhang; Gong Cheng; Deren Li; | arxiv-cs.CV | 2022-01-06 |
1187 | On The Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents an extensive evaluation of the robustness of semantic segmentation models when attacked with different types of adversarial patches, including digital, simulated, and physical ones. |
GIULIO ROSSOLINI et. al. | arxiv-cs.CV | 2022-01-05 |
1188 | Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations Via Large Window Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we succeed in introducing multi-scale representations into semantic segmentation ViT via window attention mechanism and further improves the performance and efficiency. |
Haotian Yan; Chuang Zhang; Ming Wu; | arxiv-cs.CV | 2022-01-05 |
1189 | FCAU-Net for The Semantic Segmentation of Fine-Resolution Remotely Sensed Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of fine-resolution remotely sensed images is an urgent issue in satellite image processing. Solving this problem can help overcome various obstacles in … |
Xuerui Niu; Qiaolin Zeng; Xiaobo Luo; Liangfu Chen; | Remote. Sens. | 2022-01-04 |
1190 | Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel attention-based dual supervised decoder for RGBD semantic segmentation. |
Yang Zhang; Yang Yang; Chenyun Xiong; Guodong Sun; Yanwen Guo; | arxiv-cs.CV | 2022-01-04 |
1191 | Towards Unsupervised Open World Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a method where unknown objects are clustered based on visual similarity. |
Svenja Uhlemeyer; Matthias Rottmann; Hanno Gottschalk; | arxiv-cs.CV | 2022-01-04 |
1192 | Multi-Scale Feature Aggregation Network for Water Area Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Water area segmentation is an important branch of remote sensing image segmentation, but in reality, most water area images have complex and diverse backgrounds. Traditional … |
Kai Hu; Meng Li; Min Xia; Haifeng Lin; | Remote. Sens. | 2022-01-03 |
1193 | Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: High-resolution remote sensing images have been put into the application in remote sensing parsing. General remote sensing parsing methods based on semantic segmentation still … |
Xudong Sun; Min Xia; Tianfang Dai; | Remote. Sens. | 2022-01-03 |
1194 | Rethinking Panoptic Segmentation in Remote Sensing: A Hybrid Approach Using Semantic Segmentation and Non-Learning Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This letter proposes a novel method to obtain panoptic predictions by extending the semantic segmentation task with a few non-learning image processing steps, presenting the … |
O. L. F. de Carvalho; O. A. de Carvalho Júnior; A. O. de Albuquerque; N. C. Santana; D. Borges; | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
1195 | Fused Adaptive Receptive Field Mechanism and Dynamic Multiscale Dilated Convolution for Side-Scan Sonar Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Side-scan sonar (SSS) is a vital sensor for marine survey, which is widely used in military and civilian fields. The accurate segmentation of SSS images is critical in sonar image … |
Zhen Wang; Shanwen Zhang; L. Gross; Chuanlei Zhang; Buhong Wang; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1196 | Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation plays a vital role in autonomous vehicles. Fusing the rich details of RGB image and the illumination robustness of thermal image has great potential to … |
HENG ZHOU et. al. | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
1197 | Erroneous Pixel Prediction for Semantic Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We consider semantic image segmentation. Our method is inspired by Bayesian deep learning which improves image segmentation accuracy by modeling the uncertainty of the network … |
Lixue Gong; Yiqun Zhang; Yunke Zhang; Yin Yang; Weiwei Xu; | Computational Visual Media | 2022-01-01 |
1198 | 3-DFineRec: Fine-Grained Recognition for Small-Scale Objects in 3-D Point Cloud Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recognizing small objects with fine-grained categories in a cluttered scenario is challenging in some industrial applications. This article proposes a 3-D fine-grained recognition … |
J. Zhang; Zhengmao Sun; Junhua Sun; | IEEE Transactions on Instrumentation and Measurement | 2022-01-01 |
1199 | Learning Panoptic Segmentation Through Feature Discriminability Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Panoptic segmentation has attracted increasing attention as a joint task of semantic and instance segmentation. However, previous works have not noticed that the different … |
Tao Chu; Wenjie Cai; Qiong Liu; | Pattern Recognition | 2022-01-01 |
1200 | Mask3D for 3D Semantic Instance Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: —Modern 3D semantic instance segmentation ap- proaches predominantly rely on specialized voting mechanisms followed by carefully designed geometric clustering techniques. Building … |
JONAS SCHULT et. al. | ArXiv | 2022-01-01 |
1201 | FHI-Unet: Faster Heterogeneous Images Semantic Segmentation Design and Edge AI Implementation for Visible and Thermal Images Processing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The same class of objects clustering process in a frame is known as semantic segmentation. The deep convolutional neural network-based semantic segmentation needs large-scale … |
M. SHEU et. al. | IEEE Access | 2022-01-01 |
1202 | ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present O B P OSE , an unsupervised object-centric generative model that learns to segment 3D objects from RGB-D video in an unsupervised manner. Inspired by prior art in 2D … |
Yizhe Wu; Oiwi Parker Jones; I. Posner; | ArXiv | 2022-01-01 |
1203 | Improved Sea-ice Identification Using Semantic Segmentation with Raindrop Removal Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Sea-ice identification is an essential process for safety critical navigation support of surface vessels in polar waters. Semantic segmentation has drawn much attention as an … |
Nahed M. Alsharay; Y. Chen; O. Dobre; Oscar De Silva; | IEEE Access | 2022-01-01 |
1204 | A Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of airborne light detection and ranging (LiDAR) technology, it has become a common and efficient way to collect large-scale 3-D spatial information. However, … |
KA ZHANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1205 | Unsupervised Domain Adaptation for Semantic Segmentation of High-resolution Remote Sensing Imagery Driven By Category-Certainty Attention IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is an important task of analysis and understanding of high-resolution remote sensing images (HRSIs). The deep convolutional neural network-based model shows … |
JIE CHEN et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1206 | Deep Semantic Segmentation of Trees Using Multispectral Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Forests can be efficiently monitored by automatic semantic segmentation of trees using satellite and/or aerial images. Still, several challenges can make the problem difficult, … |
Irem Ulku; E. Akagunduz; Pedram Ghamisi; | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1207 | Open-Vocabulary Panoptic Segmentation with MaskCLIP IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we tackle a new computer vision task, open-vocabulary panoptic segmentation, that aims to perform panoptic segmentation (background semantic labeling + foreground … |
Zheng Ding; Jie Wang; Z. Tu; | ArXiv | 2022-01-01 |
1208 | Surgical Scene Segmentation Using Semantic Image Synthesis with A Virtual Surgery Environment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
JIHUN YOON et. al. | International Conference on Medical Image Computing and … | 2022-01-01 |
1209 | LCS: A Collaborative Optimization Framework of Vector Extraction and Semantic Segmentation for Building Extraction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the field of building extraction, many convolutional neural network (CNN)-based methods have been developed to solve the problem of the irregular boundaries in their … |
Zhengyu Liu; Qian Shi; Jinpei Ou; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1210 | Remote-Sensing Image Segmentation Based on Implicit 3-D Scene Representation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote-sensing image segmentation, as a challenging but fundamental task, has drawn increasing attention in the remote-sensing field. Recent advances in deep learning have greatly … |
Zipeng Qi; Zhengxia Zou; Hao Chen; Z. Shi; | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
1211 | AOSVSSNet: Attention-Guided Optical Satellite Video Smoke Segmentation Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Smoke is more observable than open fires. Optical satellite video has the advantages of a wide monitoring range, fast response speed, and good economy in large-scale surface smoke … |
TAOYANG WANG et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1212 | Contextual Ensemble Network for Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, exploring features from different layers in fully convolutional networks (FCNs) has gained substantial attention to capture context information for semantic … |
QUAN ZHOU et. al. | Pattern Recognition | 2022-01-01 |
1213 | Index Your Position: A Novel Self-Supervised Learning Method for Remote Sensing Images Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Learning effective visual representations without human supervision is a critical problem for the task of semantic segmentation of remote sensing images (RSIs), where pixel-level … |
Dilxat Muhtar; Xue-liang Zhang; P. Xiao; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1214 | Fine-Grained Entity Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In dense image segmentation tasks (e.g., semantic, panoptic), existing methods can hardly generalize well to unseen image domains, predefined classes, and image resolution & … |
LU QI et. al. | ArXiv | 2022-01-01 |
1215 | Distortion Convolution Module for Semantic Segmentation of Panoramic Images Based on The Image-Forming Principle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of panoramic images plays a key role in many applications, such as security monitoring and autonomous driving. With the rapid development of deep learning, … |
Xing Hu; Yi An; Cheng Shao; Huosheng Hu; | IEEE Transactions on Instrumentation and Measurement | 2022-01-01 |
1216 | Pseudo-Label-Free Weakly Supervised Semantic Segmentation Using Image Masking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly-supervised semantic segmentation (WSSS) aims to train a semantic segmentation network using weak labels. Recent approaches generate the pseudo-label from the image-level … |
Sangtae Kim; L. Nguyen; Kyuhong Shim; Junhan Kim; B. Shim; | IEEE Access | 2022-01-01 |
1217 | Fine-Scale Urban Informal Settlements Mapping By Fusing Remote Sensing Images and Building Data Via A Transformer-Based Multimodal Fusion Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Urban informal settlements (UISs) are high-density population settlements with low standards of living and supply. UIS semantic segmentation, which identifies pixels corresponding … |
R. FAN et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1218 | A Semi-Supervised Semantic Segmentation Method for Blast-Hole Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : The goal of blast-hole detection is to help place charge explosives into blast-holes. This process is full of challenges, because it requires the ability to extract sample … |
Zeyu Zhang; Honggui Deng; Yang Liu; Qiguo Xu; Gang Liu; | Symmetry | 2022-01-01 |
1219 | HCRB-MSAN: Horizontally Connected Residual Blocks-Based Multiscale Attention Network for Semantic Segmentation of Buildings in HSR Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate and efficient semantic segmentation of buildings in high spatial resolution (HSR) remote sensing images is the basis for applications such as fine urban management, … |
Z. LI et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1220 | MetaSketch: Wireless Semantic Segmentation By Reconfigurable Intelligent Surfaces IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a process of partitioning an image into segments for recognizing regions of humans and objects, which can be widely applied in scenarios such as … |
JINGZHI HU et. al. | IEEE Transactions on Wireless Communications | 2022-01-01 |
1221 | RecurSeed and CertainMix for Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although weakly supervised semantic segmentation using only image-level labels (WSSS-IL) is potentially useful, its low performance and implementation complexity still limit its … |
Sangmin Jo; In-Jae Yu; Kyung-Su Kim; | ArXiv | 2022-01-01 |
1222 | FakeLocator: Robust Localization of GAN-Based Face Manipulations Via Semantic Segmentation Networks with Bells and Whistles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, full face synthesis and partial face manipulation by virtue of the generative adversarial networks (GANs) have raised wide public concern. In the digital media forensics … |
YIHAO HUANG et. al. | ArXiv | 2022-01-01 |
1223 | A Stepwise Domain Adaptive Segmentation Network with Covariate Shift Alleviation for Remote Sensing Imagery IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation for remote sensing images (RSI) is critical for Earth Monitoring System. However, the covariate shift between RSI datasets under different capture conditions … |
JIAOJIAO LI et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1224 | Bounding Box-Free Instance Segmentation Using Semi-Supervised Iterative Learning for Vehicle Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle classification is a hot computer vision topic, with studies ranging from ground-view to top-view imagery. Top-view images allow understanding city patterns, traffic … |
O. L. F. DE CARVALHO et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1225 | Local and Global Structure for Urban ALS Point Cloud Semantic Segmentation with Ground-Aware Attention IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interpretation of airborne laser scanning (ALS) point clouds plays a notably role in geo-information production. As a critical step for interpretation, accurate semantic … |
TENGPING JIANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1226 | BiSeNet-oriented Context Attention Model for Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When the traditional semantic segmentation model is adopted, the different feature importance of feature maps is ignored in the feature extraction stage, which results in the … |
Lin Teng; Yulong Qiao; | Comput. Sci. Inf. Syst. | 2022-01-01 |
1227 | A Systematic Literature Review on Machine Learning and Deep Learning Methods for Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Machine learning and deep learning algorithms are widely used in computer science domains. These algorithms are mostly used for classification and regression problems in almost … |
ALI SOHAIL et. al. | IEEE Access | 2022-01-01 |
1228 | Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation based on deep learning has achieved impressive results in recent years, but these results are supported by a large amount of labeled data, which requires … |
XIAOQIANG LU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1229 | NT-Net: A Semantic Segmentation Network for Extracting Lake Water Bodies From Optical Remote Sensing Images Based on Transformer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The automatic extraction of lake water is one of the research hotspots in the field of remote sensing image processing. Due to the small interclass variance between lakes and … |
Hai-Feng Zhong; Qing Sun; Hong-mei Sun; Ruisheng Jia; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1230 | Historical Information-Guided Class-Incremental Semantic Segmentation in Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite the extraordinary success of the deep architectures on semantic segmentation for remote sensing (RS) images, they have difficulties in learning new classes from a … |
XUEE RONG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1231 | Image Segmentation of Cabin Assembly Scene Based on Improved RGB-D Mask R-CNN IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cabin pose measurement is one of the key procedures in the assembly and docking process of large cabins, which provides important feedback information for the subsequent docking … |
YI FU et. al. | IEEE Transactions on Instrumentation and Measurement | 2022-01-01 |
1232 | Electrical Thermal Image Semantic Segmentation: Large-Scale Dataset and Baseline Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The fault diagnosis of electrical equipment plays a vital role in the safe operation of the power system. The task of electrical thermal image semantic segmentation is to segment … |
FUTIAN WANG et. al. | IEEE Transactions on Instrumentation and Measurement | 2022-01-01 |
1233 | Generation of Novelty Ground Truth Image Using Image Classification and Semantic Segmentation for Copy-Move Forgery Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Since the ground truth (GT) generated by CNN has pieces of patch information of the learned class, the accurate detection of Copy-Move is ambiguous. With various CNNs for image … |
K. Rhee; | IEEE Access | 2022-01-01 |
1234 | Assembly Monitoring Using Semantic Segmentation Network Based on Multiscale Feature Maps and Trainable Guided Filter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Timely detection of errors in assembly process is important for ensuring assembly quality and efficiency. Image segmentation technology can be used to monitor mechanical assembly … |
Chengjun Chen; Chunlin Zhang; Changzhi Li; Jun Hong; | IEEE Transactions on Instrumentation and Measurement | 2022-01-01 |
1235 | Does Monocular Depth Estimation Provide Better Pre-training Than Classification for Semantic Segmentation? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: . Training a deep neural network for semantic segmentation is labor intensive, so it is common to pre-train it for a different task, and then fine-tune it with a small annotated … |
Dong Lao; A. Wong; Stefano Soatto; | ArXiv | 2022-01-01 |
1236 | Segmentation-Based Background-Inference and Small-Person Pose Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite encouraging results have been achieved in human pose estimation in recent years, it remains challenging problems. When the background is similar to the human body parts, … |
Fei Gao; Hua Li; Jiyou Fei; Yangjie Huang; Long Liu; | IEEE Signal Processing Letters | 2022-01-01 |
1237 | Towards Unsupervised Online Domain Adaptation for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, there has been significant progress in overcoming the negative effects of domain shift in semantic segmentation. Yet, existing unsupervised domain adaptation … |
Yevhen Kuznietsov; M. Proesmans; L. Gool; | 2022 IEEE/CVF Winter Conference on Applications of Computer … | 2022-01-01 |
1238 | Hierarchical Context Network for Airborne Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most of the recent methods focus on capturing contextual information by measuring relations (e.g., feature similarity) between each pixel and all the others for airborne image … |
F. Zhou; Renlong Hang; Hui Shuai; Qingshan Liu; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1239 | Clustering As Attention: Unified Image Segmentation with Hierarchical Clustering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a hierarchical clustering-based image segmentation scheme for deep neural networks, called HCFormer. We interpret image segmentation, including semantic, instance, and … |
Teppei Suzuki; | ArXiv | 2022-01-01 |
1240 | Graph Convolutional Networks for Semi-Supervised Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The problem of image segmentation is one of the most significant ones in computer vision. Recently, deep-learning methods have dominated state-of-the-art solutions that … |
A. Fabijańska; | IEEE Access | 2022-01-01 |
1241 | On Calibrating Semantic Segmentation Models: Analysis and An Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We study the problem of semantic segmentation calibration. For image classification, lots of existing solutions are proposed to alleviate model miscalibration of confidence. … |
Dongdong Wang; Boqing Gong; Liqiang Wang; | ArXiv | 2022-01-01 |
1242 | A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Individual tree segmentation in forest scenes provides a foundation for forest ecosystem modeling and biodiversity assessment applications. Existing approaches work well for cases … |
Lihong Chang; H. Fan; N. Zhu; Zhen Dong; | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1243 | High-Resolution Remote Sensing Image Semantic Segmentation Via Multiscale Context and Linear Self-Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote sensing image semantic segmentation, which aims to realize pixel-level classification according to the content of remote sensing images, has broad applications in various … |
Peng Yin; Dongmei Zhang; Wei Han; Jiang Li; Jianmei Cheng; | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1244 | A Game Theoretic Approach on Semantic Segmentation Along with Transfer Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Over the last few years, it has been observed that the segmentation of images is the domain of interest of several researchers. Especially semantic segmentation of images is the … |
Arpita Dutta; Chirantana Mallick; | 2022-01-01 | |
1245 | Context-Aware Network for Semantic Segmentation Toward Large-Scale Point Clouds in Urban Environments IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Point cloud semantic segmentation in urban scenes plays a vital role in intelligent city modeling, autonomous driving, and urban planning. Point cloud semantic segmentation based … |
CHUN LIU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1246 | Semantic Segmentation of Remote Sensing Images With Self-Supervised Semantic-Aware Inpainting Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing imageries plays a crucial role in resource exploration, urban planning, weather forecasting, etc. For this task, deep learning-based … |
Shuyi He; Qingyong Li; Yang Liu; Wen Wang; | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
1247 | A Lightweight Complex-Valued DeepLabv3+ for Semantic Segmentation of PolSAR Image IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic image segmentation is one kindof end-to-end segmentation method which can classify the target region pixel by pixel. As a classic semantic segmentation network in optical … |
LINGJUAN YU et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2022-01-01 |
1248 | Joint Alignment of The Distribution in Input and Feature Space for Cross-domain Aerial Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHE CHEN et. al. | Int. J. Appl. Earth Obs. Geoinformation | 2022-01-01 |
1249 | Few-Shot Segmentation of Remote Sensing Images Using Deep Metric Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current convolutional neural network (CNN)-based methods for remote sensing image segmentation require a large number of densely annotated images for model training and have … |
Xufeng Jiang; Nan Zhou; Xiang Li; | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
1250 | Few-Shot Semantic Segmentation Via Frequency Guided Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Prototype learning is extensively used in few-shot semantic segmentation due to its excellent capability of semantic information extraction and effective prevention of … |
Xiya Rao; Tao Lu; Zhongyuan Wang; Yanduo Zhang; | IEEE Signal Processing Letters | 2022-01-01 |
1251 | Scribble-Supervised Video Object Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, video object segmentation has received great attention in the computer vision community. Most of the existing methods heavily rely on the pixel-wise human annotations, … |
Peiliang Huang; Junwei Han; Nian Liu; Jun Ren; Dingwen Zhang; | IEEE/CAA Journal of Automatica Sinica | 2022-01-01 |
1252 | MGCNet: Multilevel Gated Collaborative Network for RGB-D Semantic Segmentation of Indoor Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: RGB-D semantic segmentation of indoor scenes has long been an enduring research topic. However, because of the intrinsic differences in modal information and large gaps in … |
Enquan Yang; Wujie Zhou; Xionghong Qian; Lu Yu; | IEEE Signal Processing Letters | 2022-01-01 |
1253 | Dynamic Clustering Network for Unsupervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, the ability of self-supervised Vision Transformer (ViT) to represent pixel-level semantic relationships promotes the development of unsupervised dense prediction tasks. … |
KEHAN LI et. al. | ArXiv | 2022-01-01 |
1254 | Unsupervised Single-Scene Semantic Segmentation for Earth Observation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Earth observation data have huge potential to enrich our knowledge about our planet. An important step in many Earth observation tasks is semantic segmentation. Generally, a large … |
Sudipan Saha; M. Shahzad; Lichao Mou; Qian Song; Xiao Xiang Zhu; | IEEE Transactions on Geoscience and Remote Sensing | 2022-01-01 |
1255 | A Semantic Segmentation Method for Remote Sensing Images Based on The Swin Transformer Fusion Gabor Filter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images is increasingly important in urban planning, autonomous driving, disaster monitoring, and land cover classification. With the … |
Dongdong Feng; Zhihua Zhang; Kun Yan; | IEEE Access | 2022-01-01 |
1256 | A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To remedy the discrepancy in processing granularity, we refuse the use of the prevalent one-stage FCN based framework, and advocate a two-stage semantic segmentation framework, with the first stage extracting generalizable mask proposals and the second stage leveraging an image based CLIP model to perform open-vocabulary classification on the masked image crops which are generated in the first stage. |
MENGDE XU et. al. | arxiv-cs.CV | 2021-12-29 |
1257 | MSeg: A Composite Dataset for Multi-domain Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present MSeg, a composite dataset that unifies semantic segmentation datasets from different domains. |
John Lambert; Zhuang Liu; Ozan Sener; James Hays; Vladlen Koltun; | arxiv-cs.CV | 2021-12-27 |
1258 | Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address domain generalized semantic segmentation, in which the segmentation model is trained on multiple source domains and is expected to generalize to unseen data domains. |
Zu-Yun Shiau; Wei-Wei Lin; Ci-Siang Lin; Yu-Chiang Frank Wang; | arxiv-cs.CV | 2021-12-27 |
1259 | NLFNet: Non-Local Fusion Towards Generalized Multimodal Semantic Segmentation Across RGB-Depth, Polarization, and Thermal Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, intelligent driving navigation has made considerable progress, and semantic segmentation is one of the most advanced scene perception methods. At present, … |
Ran Yan; Kailun Yang; Kaiwei Wang; | 2021 IEEE International Conference on Robotics and … | 2021-12-27 |
1260 | SeMask: Semantically Masked Transformers for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To achieve this, we propose SeMask, a simple and effective framework that incorporates semantic information into the encoder with the help of a semantic attention operation. |
JITESH JAIN et. al. | arxiv-cs.CV | 2021-12-23 |
1261 | TagLab: A Human-centric AI System for Interactive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: TagLab is an open-source AI-assisted software for annotating large orthoimages which takes advantage of different degrees of automation; it speeds up image annotation from scratch through assisted tools, creates custom fully automatic semantic segmentation models, and, finally, allows the quick edits of automatic predictions. |
Gaia Pavoni; Massimiliano Corsini; Federico Ponchio; Alessandro Muntoni; Paolo Cignoni; | arxiv-cs.CV | 2021-12-23 |
1262 | A Discriminative Single-Shot Segmentation Network for Visual Object Tracking Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a discriminative single-shot segmentation tracker — D3S2, which narrows the gap between visual object tracking and video object segmentation. |
Alan Lukežič; Jiří Matas; Matej Kristan; | arxiv-cs.CV | 2021-12-22 |
1263 | Maximum Entropy on Erroneous Predictions (MEEP): Improving Model Calibration for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we introduce Maximum Entropy on Erroneous Predictions (MEEP), a training strategy for segmentation networks which selectively penalizes overconfident predictions, focusing only on misclassified pixels. |
Agostina Larrazabal; Cesar Martinez; Jose Dolz; Enzo Ferrante; | arxiv-cs.CV | 2021-12-22 |
1264 | High-Accuracy RGB-D Face Recognition Via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes two CNN models to improve the RGB-D face recognition task. |
Meng-Tzu Chiu; Hsun-Ying Cheng; Chien-Yi Wang; Shang-Hong Lai; | arxiv-cs.CV | 2021-12-22 |
1265 | A Random Point Initialization Approach to Image Segmentation with Variational Level-sets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a modification to the variational level set image segmentation method that can quickly detect object boundaries by making use of random point initialization. |
J. N. Mueller; J. N. Corcoran; | arxiv-cs.CV | 2021-12-22 |
1266 | Distribution-aware Margin Calibration for Semantic Segmentation in Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a margin calibration method, which can be directly used as a learning objective, for an improved generalization of IoU over the data-distribution, underpinned by a rigid lower bound. |
LITAO YU et. al. | arxiv-cs.CV | 2021-12-21 |
1267 | Mask2Former for Video Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this report, we show universal image segmentation architectures trivially generalize to video segmentation by directly predicting 3D segmentation volumes. |
BOWEN CHENG et. al. | arxiv-cs.CV | 2021-12-20 |
1268 | Image Segmentation Using Text and Image Prompts IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose a system that can generate image segmentations based on arbitrary prompts at test time. |
Timo Lüddecke; Alexander S. Ecker; | arxiv-cs.CV | 2021-12-18 |
1269 | Local Contrastive Loss with Pseudo-label Based Self-training for Semi-supervised Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a local contrastive loss to learn good pixel level features useful for segmentation by exploiting semantic label information obtained from pseudo-labels of unlabeled images alongside limited annotated images. |
Krishna Chaitanya; Ertunc Erdil; Neerav Karani; Ender Konukoglu; | arxiv-cs.CV | 2021-12-17 |
1270 | Oil Spill SAR Image Segmentation Via Probability Distribution Modelling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to develop an effective segmentation method which addresses marine oil spill identification in SAR images by investigating the distribution representation of SAR images. |
Fang Chen; Aihua Zhang; Heiko Balzter; Peng Ren; Huiyu Zhou; | arxiv-cs.LG | 2021-12-17 |
1271 | Oil Spill SAR Image Segmentation Via Probability Distribution Modeling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Segmentation of marine oil spills in synthetic aperture radar (SAR) images is a challenging task because of the complexity and irregularities in SAR images. In this work, we aim … |
Fang Chen; A. Zhang; H. Balzter; Peng Ren; Huiyu Zhou; | IEEE Journal of Selected Topics in Applied Earth … | 2021-12-17 |
1272 | HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This requires a large amount of densely annotated video data, which is costly to annotate, and largely redundant since frames within a video are highly correlated. In light of this, we propose HODOR: a novel method that tackles VOS by effectively leveraging annotated static images for understanding object appearance and scene context. |
Ali Athar; Jonathon Luiten; Alexander Hermans; Deva Ramanan; Bastian Leibe; | arxiv-cs.CV | 2021-12-16 |
1273 | Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scene understanding of aerial imagery is essential for proper emergency response during catastrophic events such as hurricanes, earthquakes, and floods. Unmanned Aerial Vehicles … |
Farshad Safavi; Tashnim Chowdhury; M. Rahnemoonfar; | 2021 IEEE International Conference on Big Data (Big Data) | 2021-12-15 |
1274 | M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural Architecture Search Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes an improved structure of a semantic segmentation network based on a deep learning network that combines self-attention neural network and neural network architecture search methods. |
JUNJUN WU et. al. | arxiv-cs.CV | 2021-12-15 |
1275 | Autoencoder-based Background Reconstruction and Foreground Segmentation with Background Noise Estimation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Even after decades of research, dynamic scene background reconstruction and foreground object segmentation are still considered as open problems due various challenges such as illumination changes, camera movements, or background noise caused by air turbulence or moving trees. We propose in this paper to model the background of a frame sequence as a low dimensional manifold using an autoencoder and compare the reconstructed background provided by this autoencoder with the original image to compute the foreground/background segmentation masks. |
Bruno Sauvalle; Arnaud de La Fortelle; | arxiv-cs.CV | 2021-12-15 |
1276 | Scene Terrain Classification for Autonomous Vehicle Navigation Based on Semantic Segmentation Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous transportation is a new paradigm of an Industry 5.0 cyber-physical system that provides a lot of opportunities in smart logistics applications. The safety and … |
S. Julius Fusic; K. Hariharan; R. Sitharthan; S. Karthikeyan; | Transactions of the Institute of Measurement and Control | 2021-12-14 |
1277 | PP-HumanSeg: Connectivity-Aware Portrait Segmentation with A Large-Scale Teleconferencing Video Dataset IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To facilitate the progress in this field, we introduce an open-source solution named PP-HumanSeg. |
LUTAO CHU et. al. | arxiv-cs.CV | 2021-12-13 |
1278 | E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We call this issue Boundary-caused Class Weights Confusion (BCWC). We try to focus on this problem and propose a novel method named Embedded Conditional Random Field (E-CRF) to alleviate it. |
Jie Zhu; Huabin Huang; Banghuai Li; Leye Wang; | arxiv-cs.CV | 2021-12-13 |
1279 | Moment Invariants with Data Augmentation for Tongue Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Tongue diagnosis plays an essential role in diagnosing the syndrome types, pathological types, lesion location and clinical stages of cancers in Traditional Chinese Medicine … |
SENLIN LIN et. al. | 2021 IEEE International Conference on Bioinformatics and … | 2021-12-09 |
1280 | BEA-SegNet: Body and Edge Aware Network for Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image segmentation is a fundamental step for diagnosis and prognosis. This study proposes a new body and edge aware network for automated 2D medical image segmentation … |
H. Kuang; Yixiong Liang; Ning Liu; Jin Liu; Jianxin Wang; | 2021 IEEE International Conference on Bioinformatics and … | 2021-12-09 |
1281 | Exploring Event-driven Dynamic Context for Accident Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we propose to extract dynamic context from event-based data with a higher temporal resolution to enhance static RGB images, even for those from traffic accidents with motion blur, collisions, deformations, overturns, etc. |
Jiaming Zhang; Kailun Yang; Rainer Stiefelhagen; | arxiv-cs.CV | 2021-12-09 |
1282 | A Shared Representation for Photorealistic Driving Simulators Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to improve the quality of generated images by rethinking the discriminator architecture. |
Saeed Saadatnejad; Siyuan Li; Taylor Mordan; Alexandre Alahi; | arxiv-cs.CV | 2021-12-09 |
1283 | AttENT: Domain-Adaptive Medical Image Segmentation Via Attention-Aware Translation and Adversarial Entropy Minimization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the intrinsic domain shift among different modalities, it is nontrivial to directly apply a well-trained model into other cross-modality medical images. Unsupervised domain … |
CHEN LI et. al. | 2021 IEEE International Conference on Bioinformatics and … | 2021-12-09 |
1284 | MIASNet: A Medical Image Segmentation Method Predicting Future Based on Past and Current Cases Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fast and accurate segmentation of medical images is essential for the diagnosis and treatment of diseases. The automatic segmentation technology based on deep learning has … |
Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo; | 2021 IEEE International Conference on Bioinformatics and … | 2021-12-09 |
1285 | A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To demonstrate its advantages, we evaluate our method on two challenging facial expression translation benchmarks, AffectNet and RaFD, and a semantic segmentation benchmark, CelebAMask-HQ across two popular architectures, BiSeNet and UNet. |
Rumeysa Bodur; Binod Bhattarai; Tae-Kyun Kim; | arxiv-cs.CV | 2021-12-08 |
1286 | A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Starting from incremental-class learning for semantic segmentation tasks, our goal is to adapt this strategy to the aerial domain, exploiting a peculiar feature that differentiates it from natural images, namely the orientation. |
Edoardo Arnaudo; Fabio Cermelli; Antonio Tavera; Claudio Rossi; Barbara Caputo; | arxiv-cs.CV | 2021-12-07 |
1287 | Diffusion Models for Implicit Image Segmentation Ensembles IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel semantic segmentation method based on diffusion models. |
Julia Wolleb; Robin Sandkühler; Florentin Bieder; Philippe Valmaggia; Philippe C. Cattin; | arxiv-cs.CV | 2021-12-06 |
1288 | Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose a novel approach for creating semantic segmentation masks for every object, without the need for training segmentation networks or seeing any segmentation masks. |
Nir Zabari; Yedid Hoshen; | arxiv-cs.CV | 2021-12-06 |
1289 | 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new approach to instill 4D dynamic object priors into learned 3D representations by unsupervised pre-training. |
Yujin Chen; Matthias Nießner; Angela Dai; | arxiv-cs.CV | 2021-12-06 |
1290 | Unsupervised Domain Adaptation for Semantic Image Segmentation: A Comprehensive Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the most important semantic segmentation methods; we provide a comprehensive survey on domain adaptation techniques for semantic segmentation; we unveil newer trends such as multi-domain learning, domain generalization, test-time adaptation or source-free domain adaptation; we conclude this survey by describing datasets and benchmarks most widely used in semantic segmentation research. |
Gabriela Csurka; Riccardo Volpi; Boris Chidlovskii; | arxiv-cs.CV | 2021-12-06 |
1291 | ConvLSTM-based Neural Network for Video Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a convolutional long short-term memory(ConvLSTM)-based neural network for video semantic segmentation. The network can capture the timing information between frames … |
Lan Zhou; Hui Yuan; Chuan Ge; | 2021 International Conference on Visual Communications and … | 2021-12-05 |
1292 | MSP : Refine Boundary Segmentation Via Multiscale Superpixel Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple but effective message passing method to improve the boundary quality for the semantic segmentation result. |
Jie Zhu; Huabin Huang; Banghuai Li; Yong Liu; Leye Wang; | arxiv-cs.CV | 2021-12-03 |
1293 | SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a fundamental task in remote sensing image analysis (RSIA). Fully convolutional networks (FCNs) have achieved state-of-the-art performance in the task of … |
GUANZHOU CHEN et. al. | Remote. Sens. | 2021-12-03 |
1294 | Traffic Scene Semantic Segmentation By Using Several Deep Convolutional Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, Intelligent Transportation System (ITS) has become one of the most popular subjects of scientific research. ITS provides innovative services to transport and traffic … |
Amine Kherraki; Muaz Maqbool; Rajae El Ouazzani; | 2021 3rd IEEE Middle East and North Africa COMMunications … | 2021-12-03 |
1295 | Deep-learning-based Carotid Artery Vessel Wall Segmentation in Black-blood MRI Using Anatomical Priors IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Carotid artery vessel wall thickness measurement is an essential step in the monitoring of patients with atherosclerosis. This requires accurate segmentation of the vessel wall, … |
D. Alblas; C. Brune; J. Wolterink; | Medical Imaging | 2021-12-02 |
1296 | Masked-attention Mask Transformer for Universal Image Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Masked-attention Mask Transformer (Mask2Former), a new architecture capable of addressing any image segmentation task (panoptic, instance or semantic). |
Bowen Cheng; Ishan Misra; Alexander G. Schwing; Alexander Kirillov; Rohit Girdhar; | arxiv-cs.CV | 2021-12-02 |
1297 | Putting 3D Spatially Sparse Networks on A Diet Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we perform the first comprehensive study on the weight sparsity of spatially sparse 3D convolutional networks and propose a compact weight-sparse and spatially sparse 3D convnet (WS^3-Convnet) for semantic and instance segmentation on the real-world indoor and outdoor datasets. |
Junha Lee; Christopher Choy; Jaesik Park; | arxiv-cs.CV | 2021-12-02 |
1298 | Towards Collaborative Appearance and Semantic Adaptation for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qiang Wang; Y. Du; Huijie Fan; Chi Ma; | Neurocomputing | 2021-12-01 |
1299 | Application of Image Processing and Convolutional Neural Networks for Flood Image Classification and Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
R. Pally; S. Samadi; | Environ. Model. Softw. | 2021-12-01 |
1300 | Self-attention Neural Architecture Search for Semantic Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHIFANG FAN et. al. | Knowl. Based Syst. | 2021-12-01 |
1301 | Deep Learning-Based Semantic Segmentation in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Perception is the first and most important task of any autonomous driving system. It extracts visual information about the surrounding environment of the vehicle. The perception … |
Hrag Jebamikyous; R. Kashef; | 2021 IEEE 23rd Int Conf on High Performance Computing & … | 2021-12-01 |
1302 | SegDiff: Image Segmentation with Diffusion Probabilistic Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Diffusion Probabilistic Methods are employed for state-of-the-art image generation. In this work, we present a method for extending such models for performing image segmentation. |
Tomer Amit; Tal Shaharbany; Eliya Nachmani; Lior Wolf; | arxiv-cs.CV | 2021-12-01 |
1303 | ARTSeg: Employing Attention for Thermal Images Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we have employed the thermal camera for semantic segmentation. |
Farzeen Munir; Shoaib Azam; Unse Fatima; Moongu Jeon; | arxiv-cs.CV | 2021-11-30 |
1304 | Zero-Shot Semantic Segmentation Via Spatial and Multi-Scale Aware Visual Class Embedding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address L-ZSSS has a limitation in generalization which is a virtue of zero-shot learning. |
Sungguk Cha; Yooseung Wang; | arxiv-cs.CV | 2021-11-30 |
1305 | ILabel: Interactive Neural Scene Labelling IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Joint representation of geometry, colour and semantics using a 3D neural field enables accurate dense labelling from ultra-sparse interactions as a user reconstructs a scene in … |
SHUAIFENG ZHI et. al. | arxiv-cs.CV | 2021-11-29 |
1306 | Recognition of Taxi Violations Based on Semantic Segmentation of PSPNet and Improved YOLOv3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Taxi has the characteristics of strong mobility and wide dispersion, which makes it difficult for relevant law enforcement officers to make accurate judgment on their illegal acts … |
Qiong Yang; Lifeng Yu; | Sci. Program. | 2021-11-29 |
1307 | 3D Compositional Zero-shot Learning with DeCompositional Consensus IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a solution, we propose DeCompositional Consensus, which combines a part segmentation network with a part scoring network. |
Muhammad Ferjad Naeem; Evin Pınar Örnek; Yongqin Xian; Luc Van Gool; Federico Tombari; | arxiv-cs.CV | 2021-11-29 |
1308 | Learning To Segment Dominant Object Motion From Watching Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by a layered image representation, we introduce a technique to group pixel regions according to their affine parametric motion. |
Sahir Shrestha; Mohammad Ali Armin; Hongdong Li; Nick Barnes; | arxiv-cs.CV | 2021-11-28 |
1309 | NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present NeSF, a method for producing 3D semantic fields from posed RGB images alone. |
SUHANI VORA et. al. | arxiv-cs.CV | 2021-11-25 |
1310 | Uncertainty Aware Proposal Segmentation for Unknown Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes to exploit additional predictions of semantic segmentation models and quantifying its confidences, followed by classification of object hypotheses as known vs. unknown, out of distribution objects. |
Yimeng Li; Jana Kosecka; | arxiv-cs.CV | 2021-11-24 |
1311 | APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this framework suffers from biased classification due to incomplete feature comparisons. To address this issue, we present an adaptive prototype representation by introducing class-specific and class-agnostic prototypes and thus construct complete sample pairs for learning semantic alignment with query features. |
JIACHENG CHEN et. al. | arxiv-cs.CV | 2021-11-23 |
1312 | Adversarial Examples on Segmentation Models Can Be Easy to Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we intensively study this topic. |
Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip Torr; | arxiv-cs.CV | 2021-11-22 |
1313 | Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel deep neural network architecture for joint class-agnostic object segmentation and grasp detection for robotic picking tasks using a parallel-plate gripper. |
Stefan Ainetter; Christoph Böhm; Rohit Dhakate; Stephan Weiss; Friedrich Fraundorfer; | arxiv-cs.CV | 2021-11-22 |
1314 | ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To tackle this problem, we present ATLANTIS, a new benchmark for semantic segmentation of waterbodies and related objects. |
Seyed Mohammad Hassan Erfani; Zhenyao Wu; Xinyi Wu; Song Wang; Erfan Goharian; | arxiv-cs.CV | 2021-11-22 |
1315 | Improving Semantic Image Segmentation Via Label Fusion in Semantically Textured Meshes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For this purpose, we present a label fusion framework that is capable of improving semantic pixel labels of video sequences in an unsupervised manner. |
FLORIAN FERVERS et. al. | arxiv-cs.CV | 2021-11-22 |
1316 | EditGAN: High-Precision Semantic Image Editing IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we propose EditGAN, a novel method for high-quality, high-precision semantic image editing, allowing users to edit images by modifying their highly detailed part segmentation masks, e.g., drawing a new mask for the headlight of a car. |
HUAN LING et. al. | nips | 2021-11-20 |
1317 | The Emergence of Objectness: Learning Zero-shot Segmentation from Videos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by this, we develop a zero-shot unsupervised approach for learning object segmentations. |
Runtao Liu; Zhirong Wu; Stella Yu; Stephen Lin; | nips | 2021-11-20 |
1318 | Panoptic 3D Scene Reconstruction From A Single RGB Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new approach for holistic 3D scene understanding from a single RGB image which learns to lift and propagate 2D features from an input image to a 3D volumetric scene representation. |
Manuel Dahnert; Ji Hou; Matthias Niessner; Angela Dai; | nips | 2021-11-20 |
1319 | Coupled Segmentation and Edge Learning Via Dynamic Graph Propagation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a principled end-to-end framework for coupled edge and segmentation learning, where edges are leveraged as pairwise similarity cues to guide segmentation. |
ZHIDING YU et. al. | nips | 2021-11-20 |
1320 | Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As each location on the encoder’s output corresponds to a local patch of the semantic labels, in this work, we represent these local patches of labels with compact neural networks. |
Bowen Zhang; Yifan liu; Zhi Tian; Chunhua Shen; | nips | 2021-11-20 |
1321 | Looking Beyond Single Images for Contrastive Semantic Segmentation Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach to contrastive representation learning for semantic segmentation. |
FEIHU ZHANG; Philip Torr; Rene Ranftl; Stephan Richter; | nips | 2021-11-20 |
1322 | Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Following this observation, we propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction. |
Bowen Cheng; Alex Schwing; Alexander Kirillov; | nips | 2021-11-20 |
1323 | ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we present a new benchmark called ClevrTex, designed as the next challenge to compare, evaluate and analyze algorithms. |
Laurynas Karazija; Iro Laina; Christian Rupprecht; | arxiv-cs.CV | 2021-11-19 |
1324 | Panoptic Segmentation: A Review IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that end, we present in this paper the first comprehensive review of existing panoptic segmentation methods to the best of the authors’ knowledge. |
OMAR ELHARROUSS et. al. | arxiv-cs.CV | 2021-11-19 |
1325 | Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we study the problem of Domain Adaptive Nighttime Semantic Segmentation (DANSS), which aims to learn a discriminative nighttime model with a labeled daytime dataset and an unlabeled dataset, including coarsely aligned day-night image pairs. |
GUANGLEI YANG et. al. | arxiv-cs.CV | 2021-11-19 |
1326 | Weakly-supervised Fire Segmentation By Visualizing Intermediate CNN Layers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider weakly supervised segmentation of fire in images, in which only image labels are used to train the network. |
Milad Niknejad; Alexandre Bernardino; | arxiv-cs.CV | 2021-11-16 |
1327 | Robust 3D Scene Segmentation Through Hierarchical and Learnable Part-Fusion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents Segment-Fusion, a novel attention-based method for hierarchical fusion of semantic and instance information to address the part misclassifications. |
Anirud Thyagharajan; Benjamin Ummenhofer; Prashant Laddha; Om J Omer; Sreenivas Subramoney; | arxiv-cs.CV | 2021-11-16 |
1328 | SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, in this paper, we present a segmentation-aware progressive network (SAPNet) based upon contrastive learning for single image deraining. |
Shen Zheng; Changjie Lu; Yuxiong Wu; Gaurav Gupta; | arxiv-cs.CV | 2021-11-16 |
1329 | Background-Aware 3-D Point Cloud Segmentation With Dynamic Point Feature Aggregation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the proliferation of LiDAR sensors and 3-D vision cameras, 3-D point cloud analysis has attracted significant attention in recent years. In this article, we propose a novel … |
Jiajing Chen; Burak Kakillioglu; Senem Velipasalar; | IEEE Transactions on Geoscience and Remote Sensing | 2021-11-14 |
1330 | Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel 3D point cloud learning network, referred to as Dynamic Point Feature Aggregation Network (DPFA-Net), by selectively performing the neighborhood feature aggregation with dynamic pooling and an attention mechanism. |
Jiajing Chen; Burak Kakillioglu; Senem Velipasalar; | arxiv-cs.CV | 2021-11-14 |
1331 | Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate grain segmentation as a pixel-wise two-class (i.e., grain and background) semantic segmentation task. |
Rajdeep Das; Ajoy Mondal; Tapan Chakraborty; Kuntal Ghosh; | arxiv-cs.CV | 2021-11-13 |
1332 | Clicking Matters:Towards Interactive Human Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on Interactive Human Parsing (IHP), which aims to segment a human image into multiple human body parts with guidance from users’ interactions. |
YUTONG GAO et. al. | arxiv-cs.CV | 2021-11-11 |
1333 | The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our model starts with two separate pathways: an appearance pathway that outputs feature-based region segmentation for a single image, and a motion pathway that outputs motion features for a pair of images. |
Runtao Liu; Zhirong Wu; Stella X. Yu; Stephen Lin; | arxiv-cs.CV | 2021-11-11 |
1334 | FBNet: Feature Balance Network for Urban-Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel add-on module, named Feature Balance Network (FBNet), to eliminate the feature camouflage in urban-scene segmentation. |
Lei Gan; Huabin Huang; Banghuai Li; Ye Yuan; | arxiv-cs.CV | 2021-11-05 |
1335 | Attention on Classification for Fire Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a Convolutional Neural Network (CNN) for joint classification and segmentation of fire in images which improves the performance of the fire segmentation. |
Milad Niknejad; Alexandre Bernardino; | arxiv-cs.CV | 2021-11-04 |
1336 | Panoptic 3D Scene Reconstruction From A Single RGB Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We thus propose a new approach for holistic 3D scene understanding from a single RGB image which learns to lift and propagate 2D features from an input image to a 3D volumetric scene representation. |
Manuel Dahnert; Ji Hou; Matthias Nießner; Angela Dai; | arxiv-cs.CV | 2021-11-03 |
1337 | Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a consequence, misclassifications commonly occur if the distribution of the training data deviates from the one encountered during the robot’s operation. We propose to mitigate this problem by adapting the neural network to the robot’s environment during deployment, without any need for external supervision. |
Jonas Frey; Hermann Blum; Francesco Milano; Roland Siegwart; Cesar Cadena; | arxiv-cs.RO | 2021-11-03 |
1338 | A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this problem, we propose a novel meta-learning framework, which predicts pseudo pixel-level segmentation masks from a limited amount of data and their semantic labels. |
Yuan-Hao Lee; Fu-En Yang; Yu-Chiang Frank Wang; | arxiv-cs.CV | 2021-11-02 |
1339 | LRFNet: An Occlusion Robust Fusion Network for Semantic Segmentation with Light Field Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation, aiming to assign a categorical label to each pixel in an image, has drawn a lot of attention and has made significant achievements in recent years. However … |
Jianwei Zhou; D. Yang; Zhenglong Cui; Sizhe Wang; Hao Sheng; | 2021 IEEE 33rd International Conference on Tools with … | 2021-11-01 |
1340 | Special Object Detection Based On Mask Rcnn Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Mask RCNN is committed to improving the accuracy of target detection. Mask RCNN target detection algorithm belongs to regional convolutional neural network, it can not only detect … |
Miaomiao Chen; Fengshan Bai; Z. Gerile; | 2021 17th International Conference on Computational … | 2021-11-01 |
1341 | SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Different architectures have been adopted for realtime scene segmentation. A popular design is the multi-branch approach in which multiple independent branches are deployed at the … |
Tanmay Singha; Moritz Bergemann; Duc-Son Pham; A. Krishna; | 2021 Digital Image Computing: Techniques and Applications … | 2021-11-01 |
1342 | Investigations of Medical Image Segmentation Methods with Inclusion Mathematical Morphological Operations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image segmentation research is becoming efficient by using mathematical morphological (MM) operators. There are different methods in image segmentation such as supervised … |
Bokka Sridhar; | Traitement du Signal | 2021-10-31 |
1343 | Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing work focuses on image classification and object detection, whereas we provide the first study on semantic image segmentation and introduce two new approaches: \textit{SmartAugment} and \textit{SmartSamplingAugment}. |
Misgana Negassi; Diane Wagner; Alexander Reiterer; | arxiv-cs.CV | 2021-10-31 |
1344 | MFNet: Multiclass Few-Shot Segmentation Network With Pixel-Wise Metric Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In visual recognition tasks, few-shot learning requires the ability to learn object categories with few support examples. Its re-popularity in light of the deep learning … |
Miao Zhang; Miaojing Shi; Li Li; | IEEE Transactions on Circuits and Systems for Video … | 2021-10-30 |
1345 | MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work focuses on few-shot semantic segmentation, which is still a largely unexplored field. |
Miao Zhang; Miaojing Shi; Li Li; | arxiv-cs.CV | 2021-10-30 |
1346 | TMBuD: A Dataset for Urban Scene Building Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we aim to introduce a dataset solution, the TMBuD, that is better fitted for image processing on human made structures for urban scene scenarios. |
Orhei Ciprian; Vert Silviu; Mocofan Muguras; Vasiu Radu; | arxiv-cs.CV | 2021-10-27 |
1347 | BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we apply graph convolution into the segmentation task and propose an improved \textit{Laplacian}. |
YANDA MENG et. al. | arxiv-cs.CV | 2021-10-27 |
1348 | Inferring The Class Conditional Response Map for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this, we propose a class-conditional inference strategy and an activation aware mask refinement loss function to generate better pseudo labels without re-training the classifier. |
Weixuan Sun; Jing Zhang; Nick Barnes; | arxiv-cs.CV | 2021-10-27 |
1349 | A Dynamic Keypoints Selection Network for 6DoF Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel deep neural network based on dynamic keypoints selection designed for 6DoF pose estimation from a single RGBD image. |
Haowen Sun; Taiyong Wang; | arxiv-cs.CV | 2021-10-24 |
1350 | X-Distill: Improving Self-Supervised Monocular Depth Via Cross-Task Distillation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel method, X-Distill, to improve the self-supervised training of monocular depth via cross-task knowledge distillation from semantic segmentation to depth estimation. |
HONG CAI et. al. | arxiv-cs.CV | 2021-10-24 |
1351 | Multi-Domain Incremental Learning for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we pose the problem of multi-domain incremental learning for semantic segmentation. |
PRACHI GARG et. al. | arxiv-cs.CV | 2021-10-23 |
1352 | Learning 3D Semantic Segmentation with Only 2D Image Supervision IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate how to use only those labeled 2D image collections to supervise training 3D semantic segmentation models. |
KYLE GENOVA et. al. | arxiv-cs.CV | 2021-10-21 |
1353 | Semi-supervised Domain Adaptation for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we address semi-supervised domain adaptation (SSDA) for semantic segmentation, where a large amount of labeled source data as well as a small amount of labeled target data are available. |
Ying Chen; Xu Ouyang; Kaiyue Zhu; Gady Agam; | arxiv-cs.CV | 2021-10-20 |
1354 | Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate a novel method of estimating uncertainty. |
YINGHUAN SHI et. al. | arxiv-cs.CV | 2021-10-17 |
1355 | FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To better extract detail spatial information, we propose a two-stage Feature-Enhanced Attention Network (FEANet) for the RGB-T semantic segmentation task. |
FUQIN DENG et. al. | arxiv-cs.CV | 2021-10-17 |
1356 | Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the SNN applications beyond classification and present semantic segmentation networks configured with spiking neurons. |
Youngeun Kim; Joshua Chough; Priyadarshini Panda; | arxiv-cs.CV | 2021-10-14 |
1357 | Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple yet effective approach for unsupervised point cloud learning. |
Jincen Jiang; Xuequan Lu; Wanli Ouyang; Meili Wang; | arxiv-cs.CV | 2021-10-13 |
1358 | Satellite Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a method for the automatic semantic segmentation of satellite images into six classes (sparse forest, dense forest, moor, herbaceous formation, building, and road). We rely on Swin Transformer architecture and build the dataset from IGN open data. |
Eric Guérin; Killian Oechslin; Christian Wolf; Benoît Martinez; | arxiv-cs.CV | 2021-10-12 |
1359 | Weakly-Supervised Semantic Segmentation By Learning Label Uncertainty Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new loss function to train a segmentation network with only a small subset of pixel-perfect labels, but take the advantage of weakly-annotated training samples in the form of cheap bounding-box labels. |
Robby Neven; Davy Neven; Bert De Brabandere; Marc Proesmans; Toon Goedemé; | arxiv-cs.CV | 2021-10-12 |
1360 | Colour Augmentation for Improved Semi-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent work explored the challenges involved in using consistency regularization for segmentation problems. |
Geoff French; Michal Mackiewicz; | arxiv-cs.CV | 2021-10-09 |
1361 | ECS-Net: Improving Weakly Supervised Semantic Segmentation By Using Connections Between Class Activation Maps IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the fact that erasing distinguishing features force networks to collect new ones from non-discriminative object regions, we using relationships between CAMs to propose a novel weakly supervised method. |
Kunyang Sun; Haoqing Shi; Zhengming Zhang; Yongming Huang; | iccv | 2021-10-08 |
1362 | ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this, we introduce ACDC, the Adverse Conditions Dataset with Correspondences for training and testing semantic segmentation methods on adverse visual conditions. |
Christos Sakaridis; Dengxin Dai; Luc Van Gool; | iccv | 2021-10-08 |
1363 | ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this, this paper proposes to augment the pixel representations by aggregating the image-level and semantic-level contextual information, respectively. |
Zhenchao Jin; Bin Liu; Qi Chu; Nenghai Yu; | iccv | 2021-10-08 |
1364 | Pri3D: Can 3D Priors Help 2D Representation Learning? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce an approach to learn view-invariant, geometry-aware representations for network pre-training, based on multi-view RGB-D data, that can then be effectively transferred to downstream 2D tasks. |
Ji Hou; Saining Xie; Benjamin Graham; Angela Dai; Matthias Niessner; | iccv | 2021-10-08 |
1365 | Personalized Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address the problem of personalized image segmentation. |
Yu Zhang; Chang-Bin Zhang; Peng-Tao Jiang; Ming-Ming Cheng; Feng Mao; | iccv | 2021-10-08 |
1366 | Scribble-Supervised Semantic Segmentation Inference IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a progressive segmentation inference (PSI) framework to tackle with scribble-supervised semantic segmentation. |
JINGSHAN XU et. al. | iccv | 2021-10-08 |
1367 | Scaling Semantic Segmentation Beyond 1K Classes on A Single GPU Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel training methodology to train and scale the existing semantic segmentation models for a large number of semantic classes without increasing the memory overhead. |
Shipra Jain; Danda Pani Paudel; Martin Danelljan; Luc Van Gool; | iccv | 2021-10-08 |
1368 | Dual Path Learning for Domain Adaptation of Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, based on the observation that domain adaptation frameworks performed in the source and target domain are almost complementary in terms of image translation and SSL, we propose a novel dual path learning (DPL) framework to alleviate visual inconsistency. |
YITING CHENG et. al. | iccv | 2021-10-08 |
1369 | Deep Metric Learning for Open World Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an open world semantic segmentation system that includes two modules: (1) an open-set semantic segmentation module to detect both in-distribution and OOD objects. (2) an incremental few-shot learning module to gradually incorporate those OOD objects into its existing knowledge base. |
Jun Cen; Peng Yun; Junhao Cai; Michael Yu Wang; Ming Liu; | iccv | 2021-10-08 |
1370 | Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by the significant inter-task correlation, we propose a novel weakly supervised multi-task framework termed as AuxSegNet, to leverage saliency detection and multi-label image classification as auxiliary tasks to improve the primary task of semantic segmentation using only image-level ground-truth labels. |
LIAN XU et. al. | iccv | 2021-10-08 |
1371 | BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we find that the segmentation performance can be considerably boosted if we treat object boundaries properly. |
Yahao Liu; Jinhong Deng; Xinchen Gao; Wen Li; Lixin Duan; | iccv | 2021-10-08 |
1372 | Learning Meta-Class Memory for Few-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce the concept of meta-class, which is the meta information (e.g. certain middle-level features) shareable among all classes. |
Zhonghua Wu; Xiangxi Shi; Guosheng Lin; Jianfei Cai; | iccv | 2021-10-08 |
1373 | Point Transformer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by this success, we investigate the application of self-attention networks to 3D point cloud processing. |
Hengshuang Zhao; Li Jiang; Jiaya Jia; Philip H.S. Torr; Vladlen Koltun; | iccv | 2021-10-08 |
1374 | Complementary Patch for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we formulate the expansion of object regions in CAM as an increase in information. |
Fei Zhang; Chaochen Gu; Chenyue Zhang; Yuchao Dai; | iccv | 2021-10-08 |
1375 | GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new computationally efficient LiDAR based panoptic segmentation framework, called GP-S3Net. |
RYAN RAZANI et. al. | iccv | 2021-10-08 |
1376 | Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel weakly supervised approach for 3D semantic segmentation on volumetric images. |
XIAOYU ZHU et. al. | iccv | 2021-10-08 |
1377 | Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we investigate a collaborative fusion scheme called perception-aware multi-sensor fusion (PMF) to exploit perceptual information from two modalities, namely, appearance information from RGB images and spatio-depth information from point clouds. |
ZHUANGWEI ZHUANG et. al. | iccv | 2021-10-08 |
1378 | Maximize The Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To explore the congeneric semantic regions from the same class to the maximum, we construct the patch-level graph neural network (P-GNN) based on the self-detected patches from different images that contain the same class labels. |
KE ZHANG et. al. | arxiv-cs.CV | 2021-10-08 |
1379 | Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel boundary-aware semi-supervised medical image segmentation network, named Graph-BAS3Net, which incorporates the boundary information and learns duality constraints between semantics and geometrics in the graph domain. |
HUIMIN HUANG et. al. | iccv | 2021-10-08 |
1380 | A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the success of semi-supervised learning methods in image classification, here we propose a simple yet effective semi-supervised learning framework for semantic segmentation. |
Jianlong Yuan; Yifan Liu; Chunhua Shen; Zhibin Wang; Hao Li; | iccv | 2021-10-08 |
1381 | Hypercorrelation Squeeze for Few-Shot Segmenation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the problem, we propose Hypercorrelation Squeeze Networks (HSNet) that leverages multi-level feature correlation and efficient 4D convolutions. |
Juhong Min; Dahyun Kang; Minsu Cho; | iccv | 2021-10-08 |
1382 | TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a light-weight semantic segmentation framework for large-scale point cloud series, called TempNet, which can improve both the accuracy and the stability of existing semantic segmentation models by combining a novel frame aggregation scheme. |
YUNSONG ZHOU et. al. | iccv | 2021-10-08 |
1383 | Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For these matters, we propose the following designs to push the performance to new state-of-art: (i) Coefficient of Variation Smoothing to smooth the CAMs adaptively; (ii) Proportional Pseudo-mask Generation to project the expanded CAMs to pseudo-mask based on a new metric indicating the importance of each class on each location, instead of the scores trained from binary classifiers. |
Yi Li; Zhanghui Kuang; Liyang Liu; Yimin Chen; Wayne Zhang; | iccv | 2021-10-08 |
1384 | SemIE: Semantically-Aware Image Extrapolation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a semantically-aware novel paradigm to perform image extrapolation that enables the addition of new object instances. |
BHOLESHWAR KHURANA et. al. | iccv | 2021-10-08 |
1385 | Interaction Via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we devote to address the challenging problem of scene parsing. |
HENGHUI DING et. al. | iccv | 2021-10-08 |
1386 | BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we first introduce a new Un- aligned Domain Score to measure the efficiency of a learned model on a new target domain in unsupervised manner. Then, we present the new Bijective Maximum Likelihood (BiMaL) loss that is a generalized form of the Adversarial Entropy Minimization without any assumption about pixel independence. |
THANH-DAT TRUONG et. al. | iccv | 2021-10-08 |
1387 | Exploring Cross-Image Pixel Contrast for Semantic Segmentation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by recent advance in unsupervised contrastive representation learning, we propose a pixel-wise contrastive algorithm for semantic segmentation in the fully supervised setting. |
WENGUAN WANG et. al. | iccv | 2021-10-08 |
1388 | SIGN: Spatial-Information Incorporated Generative Network for Generalized Zero-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We improve standard positional encoding by introducing the concept of Relative Positional Encoding, which integrates spatial information at the feature level and can handle arbitrary image sizes. |
Jiaxin Cheng; Soumyaroop Nandi; Prem Natarajan; Wael Abd-Almageed; | iccv | 2021-10-08 |
1389 | Segmenter: Transformer for Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we introduce Segmenter, a transformer model for semantic segmentation. |
Robin Strudel; Ricardo Garcia; Ivan Laptev; Cordelia Schmid; | iccv | 2021-10-08 |
1390 | Vision-based Navigation for A Small-scale Quadruped Robot Pegasus-Mini Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The vision-based navigation method proposed in this study is applicable in such a small-scale quadruped robot platform in which the computation resources and space are limited. |
DENG GANYU et. al. | arxiv-cs.RO | 2021-10-08 |
1391 | Multi-View Radar Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose several novel architectures, and their associated losses, which analyse multiple "views" of the range-angle-Doppler radar tensor to segment it semantically. |
Arthur Ouaknine; Alasdair Newson; Patrick Perez; Florence Tupin; Julien Rebut; | iccv | 2021-10-08 |
1392 | Unsupervised Segmentation Incorporating Shape Prior Via Generative Adversarial Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an image segmentation algorithm that is developed in an unsupervised deep learning framework. |
Dahye Kim; Byung-Woo Hong; | iccv | 2021-10-08 |
1393 | From Contexts to Locality: Ultra-High Resolution Image Segmentation Via Locality-Aware Contextual Correlation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we innovate the widely used high-resolution image segmentation pipeline, in which an ultra-high resolution image is partitioned into regular patches for local segmentation and then the local results are merged into a high-resolution semantic mask. |
Qi Li; Weixiang Yang; Wenxi Liu; Yuanlong Yu; Shengfeng He; | iccv | 2021-10-08 |
1394 | Scaling Up Instance Annotation Via Label Propagation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a highly efficient annotation scheme for building large datasets with object segmentation masks. |
Dim P. Papadopoulos; Ethan Weber; Antonio Torralba; | iccv | 2021-10-08 |
1395 | Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we specifically address this core problem in the context of Unsupervised Domain Adaptation and present a novel low-level adaptation strategy that allows us to obtain sharp predictions. |
Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano; | arxiv-cs.CV | 2021-10-06 |
1396 | Weak-shot Semantic Segmentation By Transferring Semantic Affinity and Boundary Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the observation that semantic affinity and boundary are class-agnostic, we propose a method under the WSSS framework to transfer semantic affinity and boundary from base to novel categories. |
Siyuan Zhou; Li Niu; Jianlou Si; Chen Qian; Liqing Zhang; | arxiv-cs.CV | 2021-10-04 |
1397 | Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a semantic-guided zero-shot low-light enhancement network (SGZ) which is trained in the absence of paired images, unpaired datasets, and segmentation annotation. |
Shen Zheng; Gaurav Gupta; | arxiv-cs.CV | 2021-10-03 |
1398 | Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The domain-adaptive semantic segmentation of aerial images using a deep-learning technique is still challenging owing to the domain gaps between aerial images obtained in … |
Kyungsu Lee; Haeyun Lee; J. Y. Hwang; | 2021 IEEE/CVF International Conference on Computer Vision … | 2021-10-01 |
1399 | Semantic Dense Reconstruction with Consistent Scene Segments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a method for dense semantic 3D scene reconstruction from an RGB-D sequence is proposed to solve high-level scene understanding tasks. |
YINGCAI WAN et. al. | arxiv-cs.CV | 2021-09-29 |
1400 | TUPPer-Map: Temporal and Unified Panoptic Perception for 3D Metric-Semantic Mapping Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose TUPPer-Map, a metric-semantic mapping framework based on the unified panoptic segmentation and temporal data association. In contrast to the previous … |
Zhiliu Yang; Chen Liu; | 2021 IEEE/RSJ International Conference on Intelligent … | 2021-09-27 |
1401 | GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An efficient solution to semantic segmentation of large-scale indoor scene point clouds is proposed in this work. |
Min Zhang; Pranav Kadam; Shan Liu; C. -C. Jay Kuo; | arxiv-cs.CV | 2021-09-24 |
1402 | Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we propose an end-to-end semantic segmentation-assisted scene completion network, including a 2D completion branch and a 3D semantic segmentation branch. |
XUEMENG YANG et. al. | arxiv-cs.CV | 2021-09-23 |
1403 | NudgeSeg: Zero-Shot Object Segmentation By Repeated Physical Interaction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in object segmentation have demonstrated that deep neural networks excel at object segmentation for specific classes in color and depth images. However, their … |
Chahat Deep Singh; N. Sanket; Chethan Parameshwara; Cornelia Fermuller; Y. Aloimonos; | 2021 IEEE/RSJ International Conference on Intelligent … | 2021-09-22 |
1404 | Automatic Segmentation of Immunohistochemical Images Based on U-net Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, the application of convolutional neural networks for automatic segmentation of immunohistochemical images based on the U-net architecture is investigated. The … |
O. BEREZSKY et. al. | 2021 IEEE 16th International Conference on Computer … | 2021-09-22 |
1405 | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation Via Semantic Knowledge Transfer and Self-Refinement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel approach including two innovative components. |
Beomyoung Kim; Youngjoon Yoo; Chaeeun Rhee; Junmo Kim; | arxiv-cs.CV | 2021-09-20 |
1406 | RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast to previous work that utilizes dilated convolutions or deep models, we propose a novel two-stream deep neural network for semantic segmentation of RSI (RSI-Net) to obtain improved performance through modeling and propagating spatial contextual structure effectively and a decoding scheme with image-level and graph-level combination. |
SHUANG HE et. al. | arxiv-cs.CV | 2021-09-19 |
1407 | RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-based Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For semantic segmentation of remote sensing images (RSI), trade-off between representation power and location accuracy is quite important. How to get the trade-off effectively is … |
SHUANG HE et. al. | IEEE Access | 2021-09-19 |
1408 | UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Transformer-based decoder and construct a UNet-like Transformer (UNetFormer) for real-time urban scene segmentation. |
LIBO WANG et. al. | arxiv-cs.CV | 2021-09-18 |
1409 | Context-aware Padding for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As an alternative, we propose a context-aware (CA) padding approach to extend the image. |
Yu-Hui Huang; Marc Proesmans; Luc Van Gool; | arxiv-cs.CV | 2021-09-16 |
1410 | Dense Semantic Contrast for Self-Supervised Visual Representation Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present Dense Semantic Contrast (DSC) for modeling semantic category decision boundaries at a dense level to meet the requirement of these tasks. |
XIAONI LI et. al. | arxiv-cs.CV | 2021-09-16 |
1411 | Evaluating The Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we evaluate the quality of semantic maps generated by state-of-the-art class- and instance-aware dense semantic SLAM algorithms whose codes are publicly available and explore the impacts both semantic segmentation and pose estimation have on the quality of semantic maps. |
SUMAN RAJ BISTA et. al. | arxiv-cs.RO | 2021-09-16 |
1412 | S3LAM: Structured Scene SLAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene. |
Mathieu Gonzalez; Eric Marchand; Amine Kacete; Jérôme Royan; | arxiv-cs.RO | 2021-09-15 |
1413 | Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we propose to segment egocentric images directly in terms of how a robot can navigate in them, and tailor the learning problem to an autonomous navigation task. |
Galadrielle Humblot-Renaux; Letizia Marchegiani; Thomas B. Moeslund; Rikke Gade; | arxiv-cs.RO | 2021-09-15 |
1414 | Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by this investigation, we propose a new framework for the outdoor LiDAR segmentation, where cylindrical partition and asymmetrical 3D convolution networks are designed to explore the 3D geometric pattern while maintaining these inherent properties. |
XINGE ZHU et. al. | arxiv-cs.CV | 2021-09-12 |
1415 | DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a semantic segmentation network termed as DeepPyram that can achieve superior performance in segmenting relevant objects in cataract surgery videos with varying issues. |
Negin Ghamsarian; Mario Taschwer; klaus Schoeffmann; | arxiv-cs.CV | 2021-09-11 |
1416 | Panoptic NuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce the large-scale Panoptic nuScenes benchmark dataset that extends our popular nuScenes dataset with point-wise groundtruth annotations for semantic segmentation, panoptic segmentation, and panoptic tracking tasks. |
WHYE KIT FONG et. al. | arxiv-cs.CV | 2021-09-08 |
1417 | Ultra-high Resolution Image Segmentation Via Locality-aware Context Fusion and Alternating Local Enhancement Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we innovate the widely used high-resolution image segmentation pipeline, in which an ultra-high resolution image is partitioned into regular patches for local segmentation and then the local results are merged into a high-resolution semantic mask. |
WENXI LIU et. al. | arxiv-cs.CV | 2021-09-06 |
1418 | Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Spatial-Temporal Semantic Consistency method to capture class-exclusive context information. |
XINGJIAN HE et. al. | arxiv-cs.CV | 2021-09-06 |
1419 | Deep Learning Based on Semantic Segmentation for Three-Dimensional Object Detection from Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHAO-HUI LIANG et. al. | Chinese Journal of Lasers | 2021-09-04 |
1420 | Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an access control method that uses the spatially invariant permutation of feature maps with a secret key for protecting semantic segmentation models. |
Hiroki Ito; MaungMaung AprilPyone; Hitoshi Kiya; | arxiv-cs.CV | 2021-09-03 |
1421 | Semantic Segmentation on VSPW Dataset Through Aggregation of Transformer Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this report, we briefly introduce the solutions of team ‘BetterThing’ for the ICCV2021 – Video Scene Parsing in the Wild Challenge. |
Zixuan Chen; Junhong Zou; Xiaotao Wang; | arxiv-cs.CV | 2021-09-03 |
1422 | Memory Based Video Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this report, we introduce our solution for the 1st Video Scene Parsing in the Wild Challenge, which achieves a mIoU of 57.44 and obtained the 2nd place (our team name is CharlesBLWX). |
Zhenchao Jin; Dongdong Yu; Kai Su; Zehuan Yuan; Changhu Wang; | arxiv-cs.CV | 2021-09-01 |
1423 | Automatic Labelling of Urban Point Clouds Using Data Fusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we describe an approach to semi-automatically create a labelled dataset for semantic segmentation of urban street-level point clouds. |
Daan Bloembergen; Chris Eijgenstein; | arxiv-cs.CV | 2021-08-31 |
1424 | LUAI Challenge 2021 on Learning to Understand Aerial Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images. |
GUI-SONG XIA et. al. | arxiv-cs.CV | 2021-08-30 |
1425 | Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we present a framework for semi-supervised and domain-adaptive semantic segmentation, which is enhanced by self-supervised monocular depth estimation (SDE) trained only on unlabeled image sequences. |
Lukas Hoyer; Dengxin Dai; Qin Wang; Yuhua Chen; Luc Van Gool; | arxiv-cs.CV | 2021-08-27 |
1426 | Mining Contextual Information Beyond Image for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this, this paper proposes to mine the contextual information beyond individual images to further augment the pixel representations. |
ZHENCHAO JIN et. al. | arxiv-cs.CV | 2021-08-26 |
1427 | An Underwater Image Semantic Segmentation Method Focusing on Boundaries and A Real Underwater Scene Semantic Segmentation Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this dataset, we propose a semi-supervised underwater semantic segmentation network focusing on the boundaries(US-Net: Underwater Segmentation Network). |
ZHIWEI MA et. al. | arxiv-cs.CV | 2021-08-26 |
1428 | PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation Via Poisson Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these problems, we propose a novel semi-supervised FSS framework for medical image segmentation. |
XIAOANG SHEN et. al. | arxiv-cs.CV | 2021-08-26 |
1429 | Semantic Scene Segmentation for Robotics Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate the behavior of the most successful semantic scene segmentation models, in terms of deployment (inference) speed, under various setups (GPUs, input sizes, etc.) in the context of robotics applications. |
Maria Tzelepi; Anastasios Tefas; | arxiv-cs.CV | 2021-08-25 |
1430 | ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel data augmentation method focused on exploring the spatial context of remote sensing semantic segmentation. |
Matheus Barros Pereira; Jefersson Alex dos Santos; | arxiv-cs.CV | 2021-08-25 |
1431 | A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast to popular end-to-end deep learning solutions, we propose a hybrid method with an existing semantic segmentation network to extract semantic information and a traditional LiDAR point cloud cluster algorithm to split each instance object. |
Yiming Zhao; Xiao Zhang; Xinming Huang; | arxiv-cs.CV | 2021-08-21 |
1432 | Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we build a wearable system with a novel dual-head Transformer for Transparency (Trans4Trans) perception model, which can segment general- and transparent objects. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2021-08-20 |
1433 | FSNet: A Failure Detection Framework for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this issue, we propose a failure detection framework to identify pixel-level misclassification. |
Quazi Marufur Rahman; Niko Sünderhauf; Peter Corke; Feras Dayoub; | arxiv-cs.CV | 2021-08-19 |
1434 | Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities. |
Simon Bultmann; Jan Quenzel; Sven Behnke; | arxiv-cs.CV | 2021-08-14 |
1435 | Boundary Knowledge Translation Based Reference Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel Reference semantic segmentation Network (Ref-Net) to conduct visual boundary knowledge translation. |
LECHAO CHENG et. al. | ijcai | 2021-08-13 |
1436 | IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation Through Iterative Mutual Enhancement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We argue that this sequential scheme does not ensure these two tasks fully benefit each other, and present an Iterative Mutual Enhancement Network (IMENet) to solve them jointly, which interactively refines the two tasks at the late prediction stage. |
Jie Li; Laiyan Ding; Rui Huang; | ijcai | 2021-08-13 |
1437 | Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on this fact, we propose to generate images which are the same as real images of the scene taken in certain novel view directions for training and evaluation. |
Xin Tong; Xianghua Ying; Yongjie Shi; He Zhao; Ruibin Wang; | ijcai | 2021-08-13 |
1438 | Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene Via Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Towards this goal, we investigate the use of deep learning to semantically segment oil and gas industrial scenes. |
Romain Cazorla; Line Poinel; Panagiotis Papadakis; Cédric Buche; | ijcai | 2021-08-13 |
1439 | Medical Image Segmentation Using Squeeze-and-Expansion Transformers IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose Segtran, an alternative segmentation framework based on transformers, which have unlimited "effective receptive fields" even at high feature resolutions. |
SHAOHUA LI et. al. | ijcai | 2021-08-13 |
1440 | Segmenting Transparent Objects in The Wild with Transformer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a new fine-grained transparent object segmentation dataset, termed Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation dataset. |
ENZE XIE et. al. | ijcai | 2021-08-13 |
1441 | Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a built-in memory module for semantic segmentation is proposed to overcome these problems. |
Youngsaeng Jin; David K. Han; Hanseok Ko; | arxiv-cs.CV | 2021-08-12 |
1442 | A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a real-time online vision framework to jointly recover an indoor scene’s 3D structure and semantic label. |
DAVIDE MENINI et. al. | arxiv-cs.CV | 2021-08-11 |
1443 | UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships Through The Lens of Adversarial Attacks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In multi-task learning (MTL), on the other hand, these single tasks are jointly learned, thereby providing an opportunity for tasks to share information and obtain a more comprehensive understanding. To this end, we develop UniNet, a unified scene understanding network that accurately and efficiently infers vital vision tasks including object detection, semantic segmentation, instance segmentation, monocular depth estimation, and monocular instance depth prediction. |
Naresh Kumar Gurulingan; Elahe Arani; Bahram Zonooz; | arxiv-cs.CV | 2021-08-10 |
1444 | Unknown Object Segmentation Through Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a sim-to-real framework to transfer the object segmentation model learned in simulation to the real-world. |
Yiting Chen; Chenguang Yang; Miao Li; | arxiv-cs.RO | 2021-08-09 |
1445 | LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose LatticeNet, a novel approach for 3D semantic segmentation, which takes raw point clouds as input. |
Radu Alexandru Rosu; Peer Schütt; Jan Quenzel; Sven Behnke; | arxiv-cs.CV | 2021-08-09 |
1446 | Boundary-aware Graph Reasoning for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Boundary-aware Graph Reasoning (BGR) module to learn long-range contextual features for semantic segmentation. |
HAOTENG TANG et. al. | arxiv-cs.CV | 2021-08-08 |
1447 | An EM Framework for Online Incremental Learning of Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To ad- dress this, we propose an incremental learning strategy that can fast adapt deep segmentation models without catastrophic forgetting, using a streaming input data with pixel annotations on the novel classes only. |
Shipeng Yan; Jiale Zhou; Jiangwei Xie; Songyang Zhang; Xuming He; | arxiv-cs.CV | 2021-08-08 |
1448 | Bird’s-Eye-View Panoptic Segmentation Using Monocular Frontal View Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present the first BEV panoptic segmentation approach for directly predicting dense panoptic segmentation maps in the BEV, given a single monocular image in the frontal view (FV). |
Nikhil Gosala; Abhinav Valada; | arxiv-cs.CV | 2021-08-06 |
1449 | Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. |
AISHWARYA UNNIKRISHNAN et. al. | arxiv-cs.RO | 2021-08-06 |
1450 | Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we are going to extract the region of interest ( i.e, bounding boxes of the tumors) and feed-forward them to one semantic segmentation encoder-decoder structure based on its classification (i.e, malignant or benign). |
Mohamed Mejri; Aymen Mejri; Oumayma Mejri; Chiraz Fekih; | arxiv-cs.AI | 2021-08-06 |
1451 | Attention-based Fusion of Semantic Boundary and Non-boundary Information to Improve Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a method for image semantic segmentation grounded on a novel fusion scheme, which takes place inside a deep convolutional neural network. |
Jefferson Fontinele; Gabriel Lefundes; Luciano Oliveira; | arxiv-cs.CV | 2021-08-05 |
1452 | Image-based Scene Recognition for Robot Navigation Considering Traversable Plants and Its Manual Annotation-free Training Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a method of estimating the traversability of plant parts covering a path and navigating through them for mobile robots operating in plant-rich environments. |
Shigemichi Matsuzaki; Hiroaki Masuzawa; Jun Miura; | arxiv-cs.RO | 2021-08-02 |
1453 | Robust Semantic Segmentation with Superpixel-Mix IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To improve reliability, we introduce Superpixel-mix, a new superpixel-based data augmentation method with teacher-student consistency training. |
GIANNI FRANCHI et. al. | arxiv-cs.CV | 2021-08-02 |
1454 | Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs Using Graph Neural Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a reinforcement learning framework that leverages high-level hierarchical representations to learn navigation policies. |
Zachary Ravichandran; Lisa Peng; Nathan Hughes; J. Daniel Griffith; Luca Carlone; | arxiv-cs.RO | 2021-08-02 |
1455 | CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we proposed a novel strategy that reformulated the popularly-used convolution operation to multi-layer convolutional sparse coding block to ease the aforementioned deficiency. |
HAITONG TANG et. al. | arxiv-cs.CV | 2021-08-01 |
1456 | Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a new iterative unsupervised algorithm for learning deep features for SAS image segmentation. |
Yung-Chen Sun; Isaac D. Gerg; Vishal Monga; | arxiv-cs.CV | 2021-07-30 |
1457 | A Unified Efficient Pyramid Transformer for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we advocate a unified framework(UN-EPT) to segment objects by considering both context information and boundary artifacts. |
FANGRUI ZHU et. al. | arxiv-cs.CV | 2021-07-29 |
1458 | Open-World Entity Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new image segmentation task, called Entity Segmentation (ES), which aims to segment all visual entities (objects and stuffs) in an image without predicting their semantic labels. |
LU QI et. al. | arxiv-cs.CV | 2021-07-29 |
1459 | CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a network injected with contextual information (CI-Net) to solve the problem. |
TIANXIAO GAO et. al. | arxiv-cs.CV | 2021-07-29 |
1460 | Global Aggregation Then Local Distribution for Scene Parsing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To alleviate this problem, we propose to explore the local context for making the aggregated long-range relationship being distributed more accurately in local regions. |
XIANGTAI LI et. al. | arxiv-cs.CV | 2021-07-27 |
1461 | Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a method that allows to automatically segment images into semantically meaningful regions without human supervision. |
Daniil Pakhomov; Sanchit Hira; Narayani Wagle; Kemar E. Green; Nassir Navab; | arxiv-cs.CV | 2021-07-26 |
1462 | Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the challenging multicategory instance segmentation problem in remote sensing images (RSIs), which aims at predicting the categories of all instances and localizing them with pixel-level masks. |
TIANYANG ZHANG et. al. | arxiv-cs.CV | 2021-07-25 |
1463 | ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To reduce the huge annotation burden, we propose a Region-based and Diversity-aware Active Learning (ReDAL), a general framework for many deep learning approaches, aiming to automatically select only informative and diverse sub-scene regions for label acquisition. |
TSUNG-HAN WU et. al. | arxiv-cs.CV | 2021-07-25 |
1464 | Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we train a semantic point cloud segmentation network with only a small portion of points being labeled. |
Jiacheng Wei; Guosheng Lin; Kim-Hui Yap; Fayao Liu; Tzu-Yi Hung; | arxiv-cs.CV | 2021-07-23 |
1465 | Standardized Max Logits: A Simple Yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose a simple yet effective approach that standardizes the max logits in order to align the different distributions and reflect the relative meanings of max logits within each predicted class. |
Sanghun Jung; Jungsoo Lee; Daehoon Gwak; Sungha Choi; Jaegul Choo; | arxiv-cs.CV | 2021-07-23 |
1466 | AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Augmentation Consistency-guided Self-training (AUGCO), a source-free adaptation algorithm that uses the model’s pixel-level predictive consistency across diverse, automatically generated views of each target image along with model confidence to identify reliable pixel predictions, and selectively self-trains on those. |
Viraj Prabhu; Shivam Khare; Deeksha Kartik; Judy Hoffman; | arxiv-cs.CV | 2021-07-21 |
1467 | Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this, we adopt a superpixel representation and develop a robust iterative learning strategy that combines noise-aware training of segmentation network and noisy label refinement, both guided by the superpixels. |
Shuailin Li; Zhitong Gao; Xuming He; | arxiv-cs.CV | 2021-07-21 |
1468 | Weighted Intersection Over Union (wIoU): A New Evaluation Metric for Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a new evaluation measure called weighted Intersection over Union (wIoU) for semantic segmentation. |
Yeong-Jun Cho; | arxiv-cs.CV | 2021-07-20 |
1469 | Double Similarity Distillation for Semantic Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, motivated by the residual learning and global aggregation, we propose a simple yet general and effective knowledge distillation framework called double similarity distillation (DSD) to improve the classification accuracy of all existing compact networks by capturing the similarity knowledge in pixel and category dimensions, respectively. |
Yingchao Feng; Xian Sun; Wenhui Diao; Jihao Li; Xin Gao; | arxiv-cs.CV | 2021-07-18 |
1470 | DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose DANCE, general automated DAta-Network Co-optimization for Efficient segmentation model training and inference. |
CHAOJIAN LI et. al. | arxiv-cs.CV | 2021-07-16 |
1471 | Unsupervised Discovery of Object Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose unsupervised discovery of Object Radiance Fields (uORF), integrating recent progresses in neural 3D scene representations and rendering with deep inference networks for unsupervised 3D scene decomposition. |
Hong-Xing Yu; Leonidas J. Guibas; Jiajun Wu; | arxiv-cs.CV | 2021-07-16 |
1472 | Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Following this observation, we propose MaskFormer, a simple mask classification model which predicts a set of binary masks, each associated with a single global class label prediction. |
Bowen Cheng; Alexander G. Schwing; Alexander Kirillov; | arxiv-cs.CV | 2021-07-13 |
1473 | End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce a novel, end-to-end trainable CNN-based architecture to deliver high quality results for grasp detection suitable for a parallel-plate gripper, and semantic segmentation. |
Stefan Ainetter; Friedrich Fraundorfer; | arxiv-cs.CV | 2021-07-12 |
1474 | Segmentation of VHR EO Images Using Unsupervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle these challenges, in this paper we propose an unsupervised semantic segmentation method that can be trained using just a single unlabeled scene. |
Sudipan Saha; Lichao Mou; Muhammad Shahzad; Xiao Xiang Zhu; | arxiv-cs.CV | 2021-07-09 |
1475 | Object Segmentation Without Labels with Large-Scale Generative Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work demonstrates that large-scale unsupervised models can also perform a more challenging object segmentation task, requiring neither pixel-level nor image-level labeling. |
Andrey Voynov; Stanislav Morozov; Artem Babenko; | icml | 2021-07-08 |
1476 | Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Addressing this problem, we propose a superpoint-guided semi-supervised segmentation network for 3D point clouds, which jointly utilizes a small portion of labeled scene point clouds and a large number of unlabeled point clouds for network training. |
Shuang Deng; Qiulei Dong; Bo Liu; Zhanyi Hu; | arxiv-cs.CV | 2021-07-08 |
1477 | WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an effective weakly-supervised video semantic segmentation pipeline with click annotations, called WeClick, for saving laborious annotating effort by segmenting an instance of the semantic class with only a single click. |
PEIDONG LIU et. al. | arxiv-cs.CV | 2021-07-07 |
1478 | Hierarchical Semantic Segmentation Using Psychometric Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we develop a novel approach to collect segmentation annotations from experts based on psychometric testing. |
Lu Yin; Vlado Menkovski; Shiwei Liu; Mykola Pechenizkiy; | arxiv-cs.CV | 2021-07-07 |
1479 | Semantic Segmentation Alternative Technique: Segmentation Domain Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this project we propose an alternative semantic segmentation technique making use of Generative Adversarial Networks. |
Ana-Cristina Rogoz; Radu Muntean; Stefan Cobeli; | arxiv-cs.CV | 2021-07-06 |
1480 | VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A unified neural network structure is presented for joint 3D object detection and point cloud segmentation in this paper. |
Yuanxin Zhong; Minghan Zhu; Huei Peng; | arxiv-cs.CV | 2021-07-06 |
1481 | Are Standard Object Segmentation Models Sufficient for Learning Affordance Segmentation? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We observe that theoretically, these popular object segmentation methods should be sufficient for detecting affordances masks. |
Hugo Caselles-Dupré; Michael Garcia-Ortiz; David Filliat; | arxiv-cs.LG | 2021-07-05 |
1482 | PaI-Net: A Modified U-Net of Reducing Semantic Gap for Surgical Instrument Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Tracking the instruments in a surgical scene is an essential task in minimally invasive surgery. However, due to the unpredictability of scenes, automatically segmenting the … |
XIAOYAN WANG et. al. | IET Image Process. | 2021-07-02 |
1483 | Unsupervised Image Segmentation By Mutual Information Maximization and Adversarial Regularization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel fully unsupervised semantic segmentation method, the so-called Information Maximization and Adversarial Regularization Segmentation (InMARS). |
S. Ehsan Mirsadeghi; Ali Royat; Hamid Rezatofighi; | arxiv-cs.CV | 2021-07-01 |
1484 | MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce MASS – a Multi-Attentional Semantic Segmentation model specifically built for dense top-view understanding of the driving scenes. |
KUNYU PENG et. al. | arxiv-cs.CV | 2021-07-01 |
1485 | Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel generative adversarial network (namely Mutual-GAN) to alleviate the accuracy decline when daytime-trained neural network is applied to videos captured under adverse weather conditions. |
Jiawei Chen; Yuexiang Li; Kai Ma; Yefeng Zheng; | arxiv-cs.CV | 2021-06-30 |
1486 | SOLO: A Simple Framework for Instance Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we view the task of instance segmentation from a completely new perspective by introducing the notion of instance categories, which assigns categories to each pixel within an instance according to the instance’s location. |
Xinlong Wang; Rufeng Zhang; Chunhua Shen; Tao Kong; Lei Li; | arxiv-cs.CV | 2021-06-30 |
1487 | Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a simple yet effective framework to address the domain translation problem between different sensor modalities with unique data formats. |
Tiago Cortinhal; Fatih Kurnaz; Eren Aksoy; | arxiv-cs.CV | 2021-06-26 |
1488 | Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation from very fine resolution (VFR) urban scene images plays a significant role in several application scenarios including autonomous driving, land cover … |
LIBO WANG et. al. | ArXiv | 2021-06-23 |
1489 | Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Bilateral Awareness Network which contains a dependency path and a texture path to fully capture the long-range relationships and fine-grained details in VFR images. |
LIBO WANG et. al. | arxiv-cs.CV | 2021-06-23 |
1490 | FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a general multimodal fusion framework FusionPainting to fuse the 2D RGB image and 3D point clouds at a semantic level for boosting the 3D object detection task. |
SHAOQING XU et. al. | arxiv-cs.CV | 2021-06-23 |
1491 | P2T: Pyramid Pooling Transformer for Scene Understanding IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, pyramid pooling has not been explored in backbone network design. To bridge this gap, we propose to adapt pyramid pooling to Multi-Head Self-Attention (MHSA) in the vision transformer, simultaneously reducing the sequence length and capturing powerful contextual features. |
Yu-Huan Wu; Yun Liu; Xin Zhan; Ming-Ming Cheng; | arxiv-cs.CV | 2021-06-22 |
1492 | Quality-Aware Memory Network for Interactive Volumetric Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a quality-aware memory network for interactive segmentation of 3D medical images. |
Tianfei Zhou; Liulei Li; Gustav Bredell; Jianwu Li; Ender Konukoglu; | arxiv-cs.CV | 2021-06-20 |
1493 | Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we propose a global style and local matching contrastive learning network (GLCNet) for remote sensing image semantic segmentation. |
HAIFENG LI et. al. | arxiv-cs.CV | 2021-06-19 |
1494 | Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the potential for performing temporal semantic segmentation in the context of agricultural robotics without temporally labelled data. |
Alireza Ahmadi; Michael Halstead; Chris McCool; | arxiv-cs.CV | 2021-06-18 |
1495 | Towards Single Stage Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The costly process of obtaining semantic segmentation labels has driven research towards weakly supervised semantic segmentation (WSSS) methods, using only image-level, point, or box labels. |
Peri Akiva; Kristin Dana; | arxiv-cs.CV | 2021-06-18 |
1496 | Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel semi-supervised 2D medical segmentation solution that applies CL on image patches, instead of full images. |
PRASHANT PANDEY et. al. | arxiv-cs.CV | 2021-06-12 |
1497 | Locate Then Segment: A Strong Pipeline for Referring Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle these problems, we view this task from another perspective by decoupling it into a locate-then-segment (LTS) scheme. |
YA JING et. al. | cvpr | 2021-06-11 |
1498 | Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To explore more comprehensive class-specific activation maps, we propose an Embedded Discriminative Attention Mechanism (EDAM) by integrating the activation map generation into the classification network directly for WSSS. |
TONG WU et. al. | cvpr | 2021-06-11 |
1499 | Rethinking Semantic Segmentation From A Sequence-to-Sequence Perspective With Transformers IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to provide an alternative perspective by treating semantic segmentation as a sequence-to-sequence prediction task. |
SIXIAO ZHENG et. al. | cvpr | 2021-06-11 |
1500 | Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time. |
Yuk Heo; Yeong Jun Koh; Chang-Su Kim; | cvpr | 2021-06-11 |