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 | Peekaboo: Text to Image Diffusion Models Are Zero-Shot Segmentors Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: The exceptions are a few unsupervised methods that utilize architectures or loss functions geared towards localization, but they need to be trained separately. In this work, we explore how off-the-shelf diffusion models, trained with no exposure to such localization information, are capable of grounding various semantic phrases with no segmentation-specific re-training. |
Ryan Burgert; Kanchana Ranasinghe; Xiang Li; Michael S. Ryoo; | arxiv-cs.CV | 2022-11-23 |
| 2 | EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we introduce the EurNet for Efficient multi-range relational modeling. |
MINGHAO XU et. al. | arxiv-cs.LG | 2022-11-23 |
| 3 | One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 4 | ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, to obtain more coherent CAMs with segmentation labels, we propose a framework that employs an iterative approach in a modified encoder-decoder-based segmentation model, which simultaneously supports classification and segmentation tasks. |
Cenk Bircanoglu; Nafiz Arica; | arxiv-cs.CV | 2022-11-22 |
| 5 | ONeRF: Unsupervised 3D Object Segmentation from Multiple Views Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 6 | ElegantSeg: End-to-End Holistic Learning for Extra-Large Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a new paradigm for Extra-large image semantic Segmentation, called ElegantSeg, that capably processes holistic extra-large image semantic segmentation (ELISS). |
Wei Chen; Yansheng Li; Bo Dang; Yongjun Zhang; | arxiv-cs.CV | 2022-11-21 |
| 7 | Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 8 | Computational Optics Meet Domain Adaptation: Transferring Semantic Segmentation Beyond Aberrations Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we pioneer to investigate Semantic Segmentation under Optical Aberrations (SSOA) of MOS. |
QI JIANG et. al. | arxiv-cs.CV | 2022-11-21 |
| 9 | Label Mask AutoEncoder(L-MAE): A Pure Transformer Method to Augment Semantic Segmentation Datasets Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by Mask AutoEncoder, we present a simple yet effective Pixel-Level completion method, Label Mask AutoEncoder(L-MAE), that fully uses the existing information in the label to predict results. |
JIARU JIA et. al. | arxiv-cs.CV | 2022-11-21 |
| 10 | Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving Under Adverse Weather Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 11 | HALSIE — Hybrid Approach to Learning Segmentation By Simultaneously Exploiting Image and Event Modalities Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose HALSIE, a hybrid approach to learning segmentation by simultaneously leveraging image and event modalities. |
Shristi Das Biswas; Adarsh Kosta; Chamika Liyanagedera; Marco Apolinario; Kaushik Roy; | arxiv-cs.CV | 2022-11-19 |
| 12 | Improving Pixel-Level Contrastive Learning By Leveraging Exogenous Depth Information Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 13 | Interclass Prototype Relation for Few-Shot Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 14 | Robust Online Video Instance Segmentation with Track Queries Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 15 | Backdoor Attacks for Remote Sensing Data with Wavelet Transform Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 16 | A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 17 | LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 18 | Fine-Grained Entity Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Given the high-quality and -resolution nature of the dataset, we propose CropFormer for high-quality segmentation, which can improve mask prediction using high-res image crops that provide more fine-grained image details than the full image. |
LU QI et. al. | arxiv-cs.CV | 2022-11-10 |
| 19 | Unsupervised Multi-Object Segmentation By Predicting Probable Motion Patterns Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 20 | Quantifying Statistical Significance of Neural Network-based Image Segmentation By Selective Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we introduce a conditional selective inference (SI) framework—a new statistical inference framework for data-driven hypotheses that has recently received considerable attention—to compute exact (non-asymptotic) valid p-values for the segmentation results. |
Vo Nguyen Le Duy; Shogo Iwazaki; Ichiro Takeuchi; | nips | 2022-11-06 |
| 21 | MultiScan: Scalable RGBD Scanning for 3D Environments with Articulated Objects Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 22 | Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 23 | Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 24 | Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 25 | OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 26 | Self-Supervised Visual Representation Learning with Semantic Grouping Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 27 | Weak-shot Semantic Segmentation Via Dual Similarity Transfer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 28 | Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 29 | Semantic Difference Convolution for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 30 | Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 31 | ReCo: Retrieve and Co-segment for Zero-shot Transfer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a new framework for zero-shot transfer semantic segmentation, which retrieves a set of unlabelled images of a concept using a language-image pre-trained model and co-segments the category regions using modern image representations. |
Gyungin Shin; Weidi Xie; Samuel Albanie; | nips | 2022-11-06 |
| 32 | Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 33 | Analysing The Effectiveness of A Generative Model for Semi-supervised Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 34 | Quantifying Model Uncertainty for Semantic Segmentation Using Operators in The RKHS Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 35 | Translated Skip Connections — Expanding The Receptive Fields of Fully Convolutional Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a neural network module, extending traditional skip connections, called the translated skip connection. |
Joshua Bruton; Hairong Wang; | arxiv-cs.CV | 2022-11-03 |
| 36 | Semantic SuperPoint: A Deep Semantic Descriptor Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose that adding a semantic segmentation decoder in a shared encoder architecture would help the descriptor decoder learn semantic information, improving the feature extractor. |
Gabriel S. Gama; Nícolas S. Rosa; Valdir Grassi Jr; | arxiv-cs.CV | 2022-11-02 |
| 37 | Hypergraph Convolutional Network Based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 38 | MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In order to enhance the step-wise regional attention in DPM for the medical image segmentation, we propose dynamic conditional encoding, which establishes the state-adaptive conditions for each sampling step. |
Junde Wu; Huihui Fang; Yu Zhang; Yehui Yang; Yanwu Xu; | arxiv-cs.CV | 2022-11-01 |
| 39 | Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 40 | Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 41 | Fast and Efficient Scene Categorization for Autonomous Driving Using VAEs Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 42 | RGB-T Semantic Segmentation with Location, Activation, and Sharpening Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 43 | From Colouring-in to Pointillism: Revisiting Semantic Segmentation Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 44 | SLAMs: Semantic Learning Based Activation Map for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 45 | Context-Aware Image Completion Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel image completion model, dubbed Refill, that hallucinates the missing instance that harmonizes well with – and thus preserves – the original context. |
Jinoh Cho; Minguk Kang; Vibhav Vineet; Jaesik Park; | arxiv-cs.CV | 2022-10-22 |
| 46 | Unsupervised Image Semantic Segmentation Through Superpixels and Graph Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a novel approach that harnesses recent advances in unsupervised learning using a combination of Mutual Information Maximization (MIM), Neural Superpixel Segmentation and Graph Neural Networks (GNNs) in an end-to-end manner, an approach that has not been explored yet. |
Moshe Eliasof; Nir Ben Zikri; Eran Treister; | arxiv-cs.CV | 2022-10-21 |
| 47 | Language-Grounded Indoor 3D Semantic Segmentation in The Wild Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 48 | 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 49 | ESS: Learning Event-Based Semantic Segmentation from Still Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 50 | GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 51 | Waymo Open Dataset: Panoramic Video Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 52 | Robust Visual Tracking By Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 53 | PseudoClick: Interactive Image Segmentation with Click Imitation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 54 | Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation? Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we argue that it is not necessary to transfer temporal knowledge since the temporal continuity of video segmentation in the target domain can be estimated and enforced without reference to videos in the source domain. |
Xinyi Wu; Zhenyao Wu; Jin Wan; Lili Ju; Song Wang; | eccv | 2022-10-19 |
| 55 | Extract Free Dense Labels from CLIP Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we wish examine the intrinsic potential of CLIP for pixel-level dense prediction, specifically in semantic segmentation. |
Chong Zhou; Chen Change Loy; Bo Dai; | eccv | 2022-10-19 |
| 56 | Generalizable Medical Image Segmentation Via Random Amplitude Mixup and Domain-Specific Image Restoration Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: To this end, we present a novel generalizable medical image segmentation method. |
Ziqi Zhou; Lei Qi; Yinghuan Shi; | eccv | 2022-10-19 |
| 57 | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 58 | Object Discovery and Representation Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 59 | TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 60 | A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper targets open-vocabulary semantic segmentation by building it on an off-the-shelf pre-trained vision-language model, i.e., CLIP. |
MENGDE XU et. al. | eccv | 2022-10-19 |
| 61 | Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 62 | Scaling Open-Vocabulary Image Segmentation with Image-Level Labels Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 63 | Background-Insensitive Scene Text Recognition with Text Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 64 | CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 65 | Cross-Domain Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 66 | RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 67 | TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 68 | 3D Compositional Zero-Shot Learning with DeCompositional Consensus Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 69 | Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we introduce an improved BERT-style image pre-training method, namely mc-BEiT, which performs MIM proxy tasks towards eased and refined multi-choice training objectives. |
XIAOTONG LI et. al. | eccv | 2022-10-19 |
| 70 | Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 71 | Open-World Semantic Segmentation for LIDAR Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 72 | RBC: Rectifying The Biased Context in Continual Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle the obstacle, we propose a biased-context-rectified CSS framework with a context-rectified image-duplet learning scheme and a biased-context-insensitive consistency loss. |
Hanbin Zhao; Fengyu Yang; Xinghe Fu; Xi Li; | eccv | 2022-10-19 |
| 73 | Segmentation-free Direct Iris Localization Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 74 | LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 75 | Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 76 | HM: Hybrid Masking for Few-Shot Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 77 | A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 78 | Drive\&Segment: Unsupervised Semantic Segmentation of Urban Scenes Via Cross-Modal Distillation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 79 | Intra-Source Style Augmentation for Improved Domain Generalization Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 80 | Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 81 | Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 82 | Heterogeneous Feature Distillation Network for SAR Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 83 | EISeg: An Efficient Interactive Segmentation Tool Based on PaddlePaddle Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 84 | Semantic Segmentation with Active Semi-Supervised Representation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 85 | MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 86 | Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 87 | Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 88 | ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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. | arxiv-cs.CV | 2022-10-12 |
| 89 | Hierarchical Instance Mixing Across Domains in Aerial Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 90 | Image Segmentation Semantic Communication Over Internet of Vehicles Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 91 | Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 92 | TriangleNet: Edge Prior Augmented Network for Semantic Segmentation Through Cross-Task Consistency Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: The main contribution is that we provide a model-agnostic method that improves the accuracy of semantic segmentation models with zero extra inference runtime overhead, verified on the datasets of road and non-road scenes. |
Dan Zhang; Rui Zheng; Luosang Gadeng; Pei Yang; | arxiv-cs.CV | 2022-10-11 |
| 93 | CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose CLIP-Fields, an implicit scene model that can be trained with no direct human supervision. |
Nur Muhammad Mahi Shafiullah; Chris Paxton; Lerrel Pinto; Soumith Chintala; Arthur Szlam; | arxiv-cs.RO | 2022-10-11 |
| 94 | DPANET:Dual Pooling Attention Network for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: For this purpose, we propose a lightweight and flexible neural network named Dual Pool Attention Network(DPANet). |
Dongwei Sun; Zhuolin Gao; | arxiv-cs.CV | 2022-10-11 |
| 95 | Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 96 | LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene Via Local Adaptive and Comprehensive VLAD Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 97 | Mask3D for 3D Semantic Instance Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 98 | WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 99 | Self-supervised Pre-training for Semantic Segmentation in An Indoor Scene Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 100 | FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 101 | Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 102 | NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 103 | FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 104 | PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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. |
Huixian Cheng; XianFeng Han; Hang Jiang; Dehong He; Guoqiang Xiao; | arxiv-cs.CV | 2022-09-27 |
| 105 | Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a framework that integrates the two capabilities together using deep neural network architectures. |
Maneekwan Toyungyernsub; Esen Yel; Jiachen Li; Mykel J. Kochenderfer; | arxiv-cs.RO | 2022-09-27 |
| 106 | ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 107 | NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: The self-supervised object segmentation framework can be applied to various NeRF models that both lead to photo-realistic rendering results and convincing segmentation maps for both indoor and outdoor scenarios. |
ZHIWEN FAN et. al. | arxiv-cs.CV | 2022-09-19 |
| 108 | SF2SE3: Clustering Scene Flow Into SE(3)-Motions Via Proposal and Selection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 109 | Energy Efficient Automatic Streetlight Controlling System Using Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This study aims to develop a novel streetlight management system powered by computer vision technology mounted with the close circuit television (CCTV) camera that allows the light emitting diode (LED) streetlight to automatically light up with proper brightness by recognizing the presence of pedestrians or vehicles and reversely dimming the streetlight in their absence by semantic image segmentation from video. |
Md Sakib Ullah Sourav; Huidong Wang; | arxiv-cs.CV | 2022-09-18 |
| 110 | Continual Learning for Class- and Domain-Incremental Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 111 | Weakly Supervised Semantic Segmentation Via Progressive Patch Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 112 | Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 113 | Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Adversarial patch attacks are an emerging security threat for real world deep learning applications. We present Demasked Smoothing, the first approach (up to our knowledge) to certify the robustness of semantic segmentation models against this threat model. |
Maksym Yatsura; Kaspar Sakmann; N. Grace Hua; Matthias Hein; Jan Hendrik Metzen; | arxiv-cs.CV | 2022-09-13 |
| 114 | MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 115 | A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 116 | Semantic Segmentation in Learned Compressed Domain Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 117 | Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 118 | Contrastive Semantic-Guided Image Smoothing Network Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: However, current methods neglect two important facts in smoothing: 1) naive pixel-level regression supervised by the limited number of high-quality smoothing ground-truth could lead to domain shift and cause generalization problems towards real-world images; 2) texture appearance is closely related to object semantics, so that image smoothing requires awareness of semantic difference to apply adaptive smoothing strengths. To address these issues, we propose a novel Contrastive Semantic-Guided Image Smoothing Network (CSGIS-Net) that combines both contrastive prior and semantic prior to facilitate robust image smoothing. |
JIE WANG et. al. | arxiv-cs.CV | 2022-09-02 |
| 119 | SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 120 | Effective Image Tampering Localization Via Semantic Segmentation Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Note that the tampered regions are typically semantic objects, in this letter we propose an effective image tampering localization scheme based on deep semantic segmentation network. |
Haochen Zhu; Gang Cao; Mo Zhao; | arxiv-cs.CV | 2022-08-29 |
| 121 | An Access Control Method with Secret Key for Semantic Segmentation Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 122 | Refine and Represent: Region-to-Object Representation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 123 | Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 124 | EAA-Net: Rethinking The Autoencoder Architecture with Intra-class Features for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 125 | Open-Vocabulary Panoptic Segmentation with MaskCLIP Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we tackle a new computer vision task, open-vocabulary panoptic segmentation, that aims to perform panoptic segmentation (background semantic labeling + foreground instance segmentation) for arbitrary categories of text-based descriptions. |
Zheng Ding; Jieke Wang; Zhuowen Tu; | arxiv-cs.CV | 2022-08-18 |
| 126 | Semi-supervised Domain Adaptation with CycleGAN Guided By A Downstream Task Loss Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 127 | Estimating Appearance Models for Image Segmentation Via Tensor Factorization Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 128 | Unsupervised Domain Adaptation Semantic Segmentation of High-resolution Remote Sensing Imagery with Invariant Domain-level Context Memory Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 129 | Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 130 | Online Refinement of A Scene Recognition Model for Mobile Robots By Observing Human’s Interaction with Environments Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 131 | Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 132 | SSformer: A Lightweight Transformer for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 133 | FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 134 | Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 135 | GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS Data Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 136 | Two-Stream UNET Networks for Semantic Segmentation in Medical Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 137 | Adaptive Sampling for Scanning Pixel Cameras Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 138 | Robust and Efficient Segmentation of Cross-domain Medical Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Primarily, we propose the Model-Specific Alignment Networks (MSAN) to provide the domain-invariant representations which are regularized by a Pre-trained Semantic AutoEncoder (P-SAE). |
Xingqun Qi; Zhuojie Wu; Min Ren; Muyi Sun; Zhenan Sun; | arxiv-cs.CV | 2022-07-26 |
| 139 | CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 140 | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 141 | Behind Every Domain There Is A Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we address panoramic semantic segmentation, which provides a full-view and dense-pixel understanding of surroundings in a holistic way. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2022-07-24 |
| 142 | BuyTheDips: PathLoss for Improved Topology-preserving Deep Learning-based Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a new topology-preserving deep image segmentation method which relies on a new leakage loss: the Pathloss. |
Minh On Vu Ngoc; Yizi Chen; Nicolas Boutry; Jonathan Fabrizio; Clement Mallet; | arxiv-cs.CV | 2022-07-23 |
| 143 | Region Aware Video Object Segmentation with Deep Motion Modeling Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 144 | Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 145 | Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 146 | SeasoNet: A Seasonal Scene Classification, Segmentation and Retrieval Dataset for Satellite Imagery Over Germany Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 147 | Visual Representation Learning with Transformer: A Sequence-to-Sequence Perspective Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we aim to provide an alternative perspective by treating visual representation learning generally as a sequence-to-sequence prediction task. |
LI ZHANG et. al. | arxiv-cs.CV | 2022-07-19 |
| 148 | Open-world Semantic Segmentation Via Contrasting and Clustering Vision-Language Embedding Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 149 | Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 150 | GeoSegNet: Point Cloud Semantic Segmentation Via Geometric Encoder-Decoder Modeling Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 151 | Automated Detection of Label Errors in Semantic Segmentation Datasets Via Deep Learning and Uncertainty Quantification Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 152 | SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 153 | Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 154 | Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 155 | Self-attention on Multi-Shifted Windows for Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 156 | Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 157 | SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 158 | Generative Adversarial Networks and Other Generative Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 159 | False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 160 | Unsupervised Domain Adaptation Through Shape Modeling for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 161 | Latents2Segments: Disentangling The Latent Space of Generative Models for Semantic Segmentation of Face Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 162 | SiamMask: A Framework for Fast Online Object Tracking and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 163 | OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 164 | DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 165 | Open-world Semantic Segmentation for LIDAR Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 166 | A Survey on Label-efficient Deep Segmentation: Bridging The Gap Between Weak Supervision and Dense Prediction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper offers a comprehensive review on label-efficient segmentation methods. |
WEI SHEN et. al. | arxiv-cs.CV | 2022-07-04 |
| 167 | Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we present our real-time egocentric body segmentation algorithm. |
ESTER GONZALEZ-SOSA et. al. | arxiv-cs.CV | 2022-07-04 |
| 168 | Improving Nighttime Driving-Scene Segmentation Via Dual Image-adaptive Learnable Filters Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 169 | Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 170 | Learning to Segment from Object Sizes Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 171 | Online Reflective Learning for Robust Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 172 | One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 173 | Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 174 | Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We design UniDAPS, a Unified Domain Adaptive Panoptic Segmentation network that is simple but capable of achieving domain adaptive instance segmentation and semantic segmentation simultaneously within a single network. |
Jingyi Zhang; Jiaxing Huang; Shijian Lu; | arxiv-cs.CV | 2022-06-30 |
| 175 | Single-domain Generalization in Medical Image Segmentation Via Test-time Adaptation from Shape Dictionary Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper studies the important yet challenging single domain generalization problem, in which a model is learned under the worst-case scenario with only one source domain to directly generalize to different unseen target domains. We present a novel approach to address this problem in medical image segmentation, which extracts and integrates the semantic shape prior information of segmentation that are invariant across domains and can be well-captured even from single domain data to facilitate segmentation under distribution shifts. |
Quande Liu; Cheng Chen; Qi Dou; Pheng-Ann Heng; | arxiv-cs.CV | 2022-06-29 |
| 176 | Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 177 | PST: Plant Segmentation Transformer for 3D Point Clouds of Rapeseed Plants at The Podding Stage Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 178 | MaskRange: A Mask-classification Model for Range-view Based LiDAR Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 179 | Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 180 | The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge–Track 3: Referring Video Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 181 | LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in A Single Multi-task Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 182 | SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 183 | Toward Unpaired Multi-modal Medical Image Segmentation Via Learning Structured Semantic Consistency Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel scheme to achieve better pixel-level segmentation for unpaired multi-modal medical images. |
JIE YANG et. al. | arxiv-cs.CV | 2022-06-21 |
| 184 | Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 185 | Global Context Vision Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose global context vision transformer (GC ViT), a novel architecture that enhances parameter and compute utilization for computer vision tasks. |
Ali Hatamizadeh; Hongxu Yin; Jan Kautz; Pavlo Molchanov; | arxiv-cs.CV | 2022-06-20 |
| 186 | Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 187 | 3D Face Parsing Via Surface Parameterization and 2D Semantic Segmentation Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 188 | On Efficient Real-Time Semantic Segmentation: A Survey Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 189 | Patch-level Representation Learning for Self-supervised Vision Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Recent self-supervised learning (SSL) methods have shown impressive results in learning visual representations from unlabeled images. This paper aims to improve their performance further by utilizing the architectural advantages of the underlying neural network, as the current state-of-the-art visual pretext tasks for SSL do not enjoy the benefit, i.e., they are architecture-agnostic. |
Sukmin Yun; Hankook Lee; Jaehyung Kim; Jinwoo Shin; | arxiv-cs.CV | 2022-06-16 |
| 190 | Simple and Efficient Architectures for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 191 | Real3D-Aug: Point Cloud Augmentation By Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 192 | Waymo Open Dataset: Panoramic Video Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 193 | How to Reduce Change Detection to Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 194 | S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 195 | Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We observe that, unlike natural images, the key problem with histology images is the confusion of classes owning to morphological homogeneity and low color contrast among different tissues. To this end, we propose a novel method Online Easy Example Mining (OEEM) that encourages the network to focus on credible supervision signals rather than noisy signals, therefore mitigating the influence of inevitable false predictions in pseudo-masks. |
Yi Li; Yiduo Yu; Yiwen Zou; Tianqi Xiang; Xiaomeng Li; | arxiv-cs.CV | 2022-06-14 |
| 196 | Consistent Video Instance Segmentation with Inter-Frame Recurrent Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 197 | Proximal Splitting Adversarial Attacks for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: The methods proposed in these works do not accurately solve the adversarial segmentation problem and, therefore, are overoptimistic in terms of size of the perturbations required to fool models. Here, we propose a white-box attack for these models based on a proximal splitting to produce adversarial perturbations with much smaller $\ell_1$, $\ell_2$, or $\ell_\infty$ norms. |
Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed; | arxiv-cs.LG | 2022-06-14 |
| 198 | DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction Via A Structure-Specific Generative Method Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 199 | A Multi-task Framework for Infrared Small Target Detection and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 200 | Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 201 | Access Control of Semantic Segmentation Models Using Encrypted Feature Maps Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an access control method with a secret key for semantic segmentation models for the first time so that unauthorized users without a secret key cannot benefit from the performance of trained models. |
Hiroki Ito; AprilPyone MaungMaung; Sayaka Shiota; Hitoshi Kiya; | arxiv-cs.CV | 2022-06-11 |
| 202 | Cross-View Transformers for Real-Time Map-View Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 203 | HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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. | cvpr | 2022-06-07 |
| 204 | SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a simplex noise transition matrix (SimT) to model the mixed noise distributions in DA semantic segmentation and formulate the problem as estimation of SimT. |
Xiaoqing Guo; Jie Liu; Tongliang Liu; Yixuan Yuan; | cvpr | 2022-06-07 |
| 205 | Incremental Learning in Semantic Segmentation From Image Labels Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 206 | Self-Supervised Image Representation Learning With Geometric Set Consistency Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 207 | Deep Hierarchical Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 208 | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 209 | L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 210 | SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 211 | CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Cross Language Image Matching (CLIMS) framework, based on the recently introduced Contrastive Language-Image Pre-training (CLIP) model, for WSSS. |
Jinheng Xie; Xianxu Hou; Kai Ye; Linlin Shen; | cvpr | 2022-06-07 |
| 212 | Representation Compensation Networks for Continual Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 213 | Generalized Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 214 | Semantic-Aware Domain Generalized Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we address domain generalized semantic segmentation, where a segmentation model is trained to be domain-invariant without using any target domain data. |
Duo Peng; Yinjie Lei; Munawar Hayat; Yulan Guo; Wen Li; | cvpr | 2022-06-07 |
| 215 | Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We present Panoptic SegFormer, a general framework for panoptic segmentation with transformers. |
ZHIQI LI et. al. | cvpr | 2022-06-07 |
| 216 | Weakly Supervised Semantic Segmentation By Pixel-to-Prototype Contrast Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 217 | C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 218 | Scene Consistency Representation Learning for Video Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 219 | FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 220 | Amodal Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 221 | Neural 3D Scene Reconstruction With The Manhattan-World Assumption Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 222 | C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 223 | Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In particular, we propose regional semantic contrast and aggregation (RCA). |
Tianfei Zhou; Meijie Zhang; Fang Zhao; Jianwu Li; | cvpr | 2022-06-07 |
| 224 | Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 225 | FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 226 | Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 227 | Accelerating Video Object Segmentation With Compressed Video Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 228 | On The Road to Online Adaptation for Semantic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 229 | Coarse-To-Fine Feature Mining for Video Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 230 | HyperSegNAS: Bridging One-Shot Neural Architecture Search With 3D Medical Image Segmentation Using HyperNet Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 231 | Multimodal Material Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 232 | Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 233 | NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 234 | Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 235 | Learning Non-Target Knowledge for Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 236 | Multi-Level Representation Learning With Semantic Alignment for Referring Video Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 237 | Wnet: Audio-Guided Video Object Segmentation Via Wavelet-Based Cross-Modal Denoising Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 238 | Hyperbolic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 239 | ReSTR: Convolution-Free Referring Image Segmentation Using Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 240 | Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 241 | Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 242 | Fast Point Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 243 | Real-Time, Accurate, and Consistent Video Semantic Segmentation Via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This demonstration showcases our innovations on efficient, accurate, and temporally consistent video semantic segmentation on mobile device. |
HYOJIN PARK et. al. | cvpr | 2022-06-07 |
| 244 | Image Segmentation Using Text and Image Prompts Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 245 | Adaptive Early-Learning Correction for Segmentation From Noisy Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this work, we study the learning dynamics of deep segmentation networks trained on inaccurately-annotated data. |
Sheng Liu; Kangning Liu; Weicheng Zhu; Yiqiu Shen; Carlos Fernandez-Granda; | cvpr | 2022-06-07 |
| 246 | FocusCut: Diving Into A Focus View in Interactive Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 247 | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation Via Semantic Knowledge Transfer and Self-Refinement Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 248 | Towards Fewer Annotations: Active Learning Via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 249 | Cross-Image Relational Knowledge Distillation for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 250 | Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper we present Mask DINO, a unified object detection and segmentation framework. |
FENG LI et. al. | arxiv-cs.CV | 2022-06-06 |
| 251 | GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 252 | H-EMD: A Hierarchical Earth Mover’s Distance Method for Instance Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 253 | Amodal Cityscapes: A New Dataset, Its Generation, and An Amodal Semantic Segmentation Challenge Baseline Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 254 | Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 255 | MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 256 | Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 257 | BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 258 | Semantic Segmentation for Thermal Images: A Comparative Survey Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 259 | Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 260 | Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 261 | Saliency-Driven Active Contour Model for Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we propose a novel model that uses the advantages of a saliency map with local image information (LIF) and overcomes the drawbacks of previous models. |
Ehtesham Iqbal; Asim Niaz; Asif Aziz Memon; Usman Asim; Kwang Nam Choi; | arxiv-cs.CV | 2022-05-23 |
| 262 | Decoder Denoising Pretraining for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 263 | Fast Video Object Segmentation Via Dynamic YOLACT Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 264 | Contrastive Translation Learning For Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 265 | Depth Removal Distillation for RGB-D Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 266 | DeepGBASS: Deep Guided Boundary-Aware Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 267 | RCANet: Row-Column Attention Network for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 268 | DCSN: Deformable Convolutional Semantic Segmentation Neural Network for Non-Rigid Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 269 | Feature Space Message Passing Network for Medical Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 270 | Deep Markov Clustering for Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 271 | Exploring Category Consistency for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 272 | Clustering As Attention: Unified Image Segmentation with Hierarchical Clustering Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: We propose a hierarchical clustering-based image segmentation scheme for deep neural networks, called HCFormer. |
Teppei Suzuki; | arxiv-cs.CV | 2022-05-19 |
| 273 | Semantically Accurate Super-Resolution Generative Adversarial Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 274 | Scribble2D5: Weakly-Supervised Volumetric Image Segmentation Via Scribble Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 275 | Weakly-supervised Segmentation of Referring Expressions Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 276 | STDC-MA Network for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 277 | Improved-Flow Warp Module for Remote Sensing Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 278 | Distilling Inter-Class Distance for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 279 | Semantics-Guided Moving Object Segmentation with 3D LiDAR Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 280 | Cross-view Transformers for Real-time Map-view Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 281 | A Hybrid Multi-object Segmentation Framework with Model-based B-splines for Microbial Single Cell Analysis Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a hybrid approach for multi-object microbial cell segmentation. |
Karina Ruzaeva; Katharina Nöh; Benjamin Berkels; | arxiv-cs.CV | 2022-05-03 |
| 282 | Point Cloud Semantic Segmentation Using Multi Scale Sparse Convolution Neural Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 283 | Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 284 | Application of Belief Functions to Medical Image Segmentation: A Review Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 285 | 3D Semantic Scene Perception Using Distributed Smart Edge Sensors Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 286 | Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation By Deep Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 287 | Self-Supervised Learning of Object Parts for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 288 | DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present a new approach for feature fusion between RGB and LWIR Thermal images for the task of semantic segmentation for driving perception. |
Oriel Frigo; Lucien Martin-Gaffé; Catherine Wacongne; | arxiv-cs.LG | 2022-04-21 |
| 289 | Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a simple yet effective proposal-free architecture for lidar panoptic segmentation. |
Qi Chen; Sourabh Vora; | arxiv-cs.CV | 2022-04-19 |
| 290 | Semi-supervised 3D Shape Segmentation with Multilevel Consistency and Part Substitution Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 291 | Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 292 | Language-Grounded Indoor 3D Semantic Segmentation in The Wild Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 293 | Interactive Object Segmentation in 3D Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 294 | Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 295 | HFT: Lifting Perspective Representations Via Hybrid Feature Transformation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we empirically analyze the vital differences between CBFT and CFFT. |
JIAYU ZOU et. al. | arxiv-cs.CV | 2022-04-11 |
| 296 | RGB-D Semantic SLAM for Surgical Robot Navigation in The Operating Room Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 297 | Scale Invariant Semantic Segmentation with RGB-D Fusion Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 298 | Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 299 | An Empirical Study of Remote Sensing Pretraining Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 300 | Instance Segmentation of Unlabeled Modalities Via Cyclic Segmentation GAN Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 301 | Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 302 | Adversarially Robust Segmentation Models Learn Perceptually-aligned Gradients Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 303 | Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 304 | Abstract Flow for Temporal Semantic Segmentation on The Permutohedral Lattice Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 305 | Image Segmentation with Adaptive Spatial Priors from Joint Registration Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 306 | Self-Supervised Leaf Segmentation Under Complex Lighting Conditions Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 307 | Does Monocular Depth Estimation Provide Better Pre-training Than Classification for Semantic Segmentation? Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Despite the absence of any semantic information, we argue that estimating scene geometry is closer to the task of semantic segmentation than classifying whole images into semantic classes. |
Dong Lao; Alex Wong; Stefano Soatto; | arxiv-cs.CV | 2022-03-26 |
| 308 | SGDR: Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Disentangled representation is a powerful technique to tackle domain shift problem in medical image analysis in unsupervised domain adaptation setting.However, previous methods only focus on exacting domain-invariant feature and ignore whether exacted feature is meaningful for downstream tasks.We propose a novel framework, called semantic-guided disentangled representation (SGDR), an effective method to exact semantically meaningful feature for segmentation task to improve performance of cross modality medical image segmentation in unsupervised domain adaptation setting.To exact the meaningful domain-invariant features of different modality, we introduce a content discriminator to force the content representation to be embedded to the same space and a feature discriminator to exact the meaningful representation.We also use pixel-level annotations to guide the encoder to learn features that are meaningful for segmentation task.We validated our method on two public datasets and experiment results show that our approach outperforms the state of the art methods on two evaluation metrics by a significant margin. |
Shuai Wang; Li Rui; | arxiv-cs.CV | 2022-03-26 |
| 309 | Feature Selective Transformer for Semantic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 310 | Contrastive Learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 311 | Self-supervised Semantic Segmentation Grounded in Visual Concepts Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 312 | StructToken : Rethinking Semantic Segmentation with Structural Prior Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 313 | GOSS: Towards Generalized Open-set Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 314 | Generating Fast and Slow: Scene Decomposition Via Reconstruction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We consider the problem of segmenting scenes into constituent entities, i.e. underlying objects and their parts. |
Mihir Prabhudesai; Anirudh Goyal; Deepak Pathak; Katerina Fragkiadaki; | arxiv-cs.CV | 2022-03-21 |
| 315 | Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes Via Cross-modal Distillation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 316 | Semantic Segmentation with Active Semi-Supervised Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 317 | Towards Robust Semantic Segmentation of Accident Scenes Via Multi-Source Mixed Sampling and Meta-Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 318 | Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 319 | Multi-similarity Based Hyperrelation Network for Few-shot Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 320 | Object Discovery and Representation Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 321 | SATS: Self-Attention Transfer for Continual Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 322 | PNM: Pixel Null Model for General Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 323 | Hyperbolic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 324 | All You Need Is LUV: Unsupervised Collection of Labeled Images Using Invisible UV Fluorescent Indicators Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 325 | BEVSegFormer: Bird’s Eye View Semantic Segmentation From Arbitrary Camera Rigs Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 326 | Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel Stage-aware Feature Alignment Network (SFANet) based on the encoder-decoder structure for real-time semantic segmentation of street scenes. |
Xi Weng; Yan Yan; Si Chen; Jing-Hao Xue; Hanzi Wang; | arxiv-cs.CV | 2022-03-08 |
| 327 | Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 328 | Semantic Segmentation in Art Paintings Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 329 | Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: A common challenge posed to robust semantic segmentation is the expensive data annotation cost. Existing semi-supervised solutions show great potential for solving this problem. |
CONG CAO et. al. | arxiv-cs.CV | 2022-03-05 |
| 330 | Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 331 | Cross Language Image Matching for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we propose a novel Cross Language Image Matching (CLIMS) framework, based on the recently introduced Contrastive Language-Image Pre-training (CLIP) model, for WSSS. |
Jinheng Xie; Xianxu Hou; Kai Ye; Linlin Shen; | arxiv-cs.CV | 2022-03-05 |
| 332 | SegTAD: Precise Temporal Action Detection Via Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 333 | Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 334 | Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 335 | Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 336 | Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 337 | RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Semantic segmentation, an active research area in computer vision, can put labels to each pixel of an image, and therefore can be a valuable arsenal in the effort of reducing the impacts of hurricanes. |
Tashnim Chowdhury; Robin Murphy; Maryam Rahnemoonfar; | arxiv-cs.CV | 2022-02-24 |
| 338 | Fully Self-Supervised Learning for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 339 | GroupViT: Semantic Segmentation Emerges from Text Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 340 | A-Eye: Driving with The Eyes of AI for Corner Case Generation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: The overall goal of this work is to enrich training data for automated driving with so called corner cases. |
Kamil Kowol; Stefan Bracke; Hanno Gottschalk; | arxiv-cs.CV | 2022-02-22 |
| 341 | PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car Using Point Convolution and Sparse Convolution Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 342 | Visual Attention Network Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 343 | An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 344 | Shift-Memory Network for Temporal Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 345 | Few-shot Semantic Segmentation Via Mask Aggregation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we introduce a mask-based classification method for addressing this problem. |
Wei Ao; Shunyi Zheng; Yan Meng; | arxiv-cs.CV | 2022-02-15 |
| 346 | Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 347 | Language-driven Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 348 | Unsupervised Discovery of Object Radiance Fields Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 349 | A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 350 | Bootstrapping Semantic Segmentation with Regional Contrast Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 351 | PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 352 | Close The Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 353 | Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 354 | Active Boundary Loss for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper proposes a novel active boundary loss for semantic segmentation. |
CHI WANG et. al. | aaai | 2022-02-07 |
| 355 | Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 356 | Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 357 | Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 358 | The Devil Is in The Labels: Semantic Segmentation from Sentences Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 359 | StandardSim: A Synthetic Dataset For Retail Environments Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 360 | MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 361 | DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this context, instance-level segmentation of different document objects (title, sections, figures etc.) has emerged as an interesting problem for the document analysis and understanding community. To advance the research in this direction, we present a transformer-based model called \emph{DocSegTr} for end-to-end instance segmentation of complex layouts in document images. |
Sanket Biswas; Ayan Banerjee; Josep Lladós; Umapada Pal; | arxiv-cs.CV | 2022-01-27 |
| 362 | Class-Aware Adversarial Transformers for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 363 | A Comprehensive Study of Vision Transformers on Dense Prediction Tasks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 364 | Classroom Slide Narration System Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 365 | MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 366 | Improving Performance of Semantic Segmentation CycleGANs By Noise Injection Into The Latent Segmentation Space Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 367 | Prototype Guided Network for Anomaly Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 368 | Domain Adaptation in LiDAR Semantic Segmentation Via Alternating Skip Connections and Hybrid Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 369 | Boundary-aware Self-supervised Learning for Video Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 370 | SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 371 | Pyramid Fusion Transformer for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 372 | Language-driven Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 373 | FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 374 | Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 375 | On The Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 376 | Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations Via Large Window Attention Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 377 | Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 378 | Towards Unsupervised Open World Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 379 | Residual Decoder Based U-Net for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details |
Shilpa Elsa Abraham; Binsu C. Kovoor; | 2022-01-01 | |
| 380 | Erroneous Pixel Prediction for Semantic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 381 | Contextual Ensemble Network for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 382 | Learning Panoptic Segmentation Through Feature Discriminability Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 383 | FakeLocator: Robust Localization of GAN-Based Face Manipulations Via Semantic Segmentation Networks with Bells and Whistles IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 384 | MP-ResNet: Multipath Residual Network for The Semantic Segmentation of High-Resolution PolSAR Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: There are limited studies on the semantic segmentation of high-resolution polarimetric synthetic aperture radar (PolSAR) images due to the scarcity of training data and the … |
LEI DING et. al. | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
| 385 | Graph Based Method for Cell Segmentation and Detection in Live-cell Fluorescence Microscope Imaging Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Live-cell fluorescence image segmentation is an essential step in many studies, including in drug research and other contexts where keeping cells alive is crucial. Several … |
Katarzyna Hajdowska; Sebastian Student; Damian Borys; | Biomed. Signal Process. Control. | 2022-01-01 |
| 386 | Identification of Maceral Groups in Chinese Bituminous Coals Based on Semantic Segmentation Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Automatic identification of coal macerals has been a long-term pursuit for coal petrologists. As the rapid developments of computational processing capacities and algorithms in … |
Yue Wang; Xiangfei Bai; Linlin Wu; Yuhong Zhang; Sijian Qu; | Fuel | 2022-01-01 |
| 387 | TagLab: AI-assisted Annotation for The Fast and Accurate Semantic Segmentation of Coral Reef Orthoimages Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Funding information PNRA18 00263‐B2, National Antarctic Research Program; Ministero dell’Istruzione, dell’Universitàe della Ricerca Abstract Semantic segmentation is a widespread … |
GAIA PAVONI et. al. | J. Field Robotics | 2022-01-01 |
| 388 | Unsupervised Semantic Segmentation Method of User Interface Component of Games Literature Review Related Patents Related Grants Related Orgs Related Experts Details |
Shinjin Kang; Jongin Choi; | Intelligent Automation & Soft Computing | 2022-01-01 |
| 389 | CANet: Co-attention Network for RGB-D Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details |
HAO ZHOU et. al. | Pattern Recognit. | 2022-01-01 |
| 390 | A Game Theoretic Approach on Semantic Segmentation Along with Transfer Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 | |
| 391 | Scribble-Supervised Video Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 392 | Leveraging In-domain Supervision for Unsupervised Image-to-image Translation Tasks Via Multi-stream Generators Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we observe that for many Unsupervised I2I (UI2I) scenarios, one domain is more familiar than the other, and offers in-domain prior knowledge, such as semantic segmentation. |
Dvir Yerushalmi; Dov Danon; Amit H. Bermano; | arxiv-cs.CV | 2021-12-30 |
| 393 | A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we target for zero-shot semantic segmentation, by building it on an off-the-shelf pre-trained vision-language model, i.e., CLIP. |
MENGDE XU et. al. | arxiv-cs.CV | 2021-12-29 |
| 394 | MSeg: A Composite Dataset for Multi-domain Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 395 | Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 396 | SeMask: Semantically Masked Transformers for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 397 | TagLab: A Human-centric AI System for Interactive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 398 | Maximum Entropy on Erroneous Predictions (MEEP): Improving Model Calibration for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 399 | A Discriminative Single-Shot Segmentation Network for Visual Object Tracking Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 400 | High-Accuracy RGB-D Face Recognition Via Segmentation-Aware Face Depth Estimation and Mask-Guided Attention Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 401 | A Random Point Initialization Approach to Image Segmentation with Variational Level-sets Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 402 | Distribution-aware Margin Calibration for Semantic Segmentation in Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 403 | Mask2Former for Video Instance Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 404 | Image Segmentation Using Text and Image Prompts Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 405 | Oil Spill SAR Image Segmentation Via Probability Distribution Modelling Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 406 | Local Contrastive Loss with Pseudo-label Based Self-training for Semi-supervised Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 407 | HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 408 | M-FasterSeg: An Efficient Semantic Segmentation Network Based on Neural Architecture Search Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 409 | Autoencoder-based Background Reconstruction and Foreground Segmentation with Background Noise Estimation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 410 | PP-HumanSeg: Connectivity-Aware Portrait Segmentation with A Large-Scale Teleconferencing Video Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 411 | Exploring Event-driven Dynamic Context for Accident Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 412 | A Shared Representation for Photorealistic Driving Simulators Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 413 | A Unified Architecture of Semantic Segmentation and Hierarchical Generative Adversarial Networks for Expression Manipulation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 414 | A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 415 | Unsupervised Domain Adaptation for Semantic Image Segmentation: A Comprehensive Survey Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 416 | Label-Efficient Semantic Segmentation with Diffusion Models Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Based on these observations, we describe a simple segmentation method, which can work even if only a few training images are provided. |
Dmitry Baranchuk; Ivan Rubachev; Andrey Voynov; Valentin Khrulkov; Artem Babenko; | arxiv-cs.CV | 2021-12-06 |
| 417 | Diffusion Models for Implicit Image Segmentation Ensembles Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 418 | Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 419 | 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 420 | MSP : Refine Boundary Segmentation Via Multiscale Superpixel Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 421 | Masked-attention Mask Transformer for Universal Image Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 422 | Putting 3D Spatially Sparse Networks on A Diet Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 423 | SegDiff: Image Segmentation with Diffusion Probabilistic Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 424 | ARTSeg: Employing Attention for Thermal Images Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 425 | Zero-Shot Semantic Segmentation Via Spatial and Multi-Scale Aware Visual Class Embedding Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 426 | ILabel: Interactive Neural Scene Labelling Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 427 | 3D Compositional Zero-shot Learning with DeCompositional Consensus Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 428 | Learning To Segment Dominant Object Motion From Watching Videos Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 429 | NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 430 | Uncertainty Aware Proposal Segmentation for Unknown Object Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 431 | APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: 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 |
| 432 | Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 433 | Improving Semantic Image Segmentation Via Label Fusion in Semantically Textured Meshes Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 434 | ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 435 | Adversarial Examples on Segmentation Models Can Be Easy to Transfer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we intensively study this topic. |
Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip Torr; | arxiv-cs.CV | 2021-11-22 |
| 436 | K-Net: Towards Unified Image Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This paper presents a unified, simple, and effective framework for these essentially similar tasks. |
Wenwei Zhang; Jiangmiao Pang; Kai Chen; Chen Change Loy; | nips | 2021-11-20 |
| 437 | EditGAN: High-Precision Semantic Image Editing IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 438 | The Emergence of Objectness: Learning Zero-shot Segmentation from Videos Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 439 | Coupled Segmentation and Edge Learning Via Dynamic Graph Propagation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 440 | Few-Shot Segmentation Via Cycle-Consistent Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we focus on utilizing pixel-wise relationships between support and target images to facilitate the few-shot semantic segmentation task. |
Gengwei Zhang; Guoliang Kang; Yi Yang; Yunchao Wei; | nips | 2021-11-20 |
| 441 | Looking Beyond Single Images for Contrastive Semantic Segmentation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an approach to contrastive representation learning for semantic segmentation. |
FEIHU ZHANG; Philip Torr; Rene Ranftl; Stephan Richter; | nips | 2021-11-20 |
| 442 | Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 443 | Panoptic 3D Scene Reconstruction From A Single RGB Image Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 444 | Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 445 | ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 446 | Panoptic Segmentation: A Review Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 447 | Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 448 | Weakly-supervised Fire Segmentation By Visualizing Intermediate CNN Layers Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 449 | SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 450 | Robust 3D Scene Segmentation Through Hierarchical and Learnable Part-Fusion Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 451 | Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 452 | Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 453 | Clicking Matters:Towards Interactive Human Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 454 | The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 455 | FBNet: Feature Balance Network for Urban-Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 456 | Attention on Classification for Fire Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 457 | Panoptic 3D Scene Reconstruction From A Single RGB Image Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 458 | Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 459 | HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose Hierarchically Supervised Semantic Segmentation (HS3), a training scheme that supervises intermediate layers in a segmentation network to learn meaningful representations by varying task complexity. |
Shubhankar Borse; Hong Cai; Yizhe Zhang; Fatih Porikli; | arxiv-cs.CV | 2021-11-03 |
| 460 | A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 461 | Detect-and-Segment: A Deep Learning Approach to Automate Wound Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present Detect-and-Segment (DS), a deep learning approach to produce wound segmentation maps with high generalization capabilities. |
GAETANO SCEBBA et. al. | arxiv-cs.CV | 2021-11-02 |
| 462 | Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 463 | MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 464 | TMBuD: A Dataset for Urban Scene Building Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 465 | BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 466 | Inferring The Class Conditional Response Map for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 467 | Perceptual Consistency in Video Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel perceptual consistency perspective on video semantic segmentation, which can capture both temporal consistency and pixel-wise correctness. |
YIZHE ZHANG et. al. | arxiv-cs.CV | 2021-10-24 |
| 468 | A Dynamic Keypoints Selection Network for 6DoF Pose Estimation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 469 | X-Distill: Improving Self-Supervised Monocular Depth Via Cross-Task Distillation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 470 | Multi-Domain Incremental Learning for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 471 | Transfer Beyond The Field of View: Dense Panoramic Semantic Segmentation Via Unsupervised Domain Adaptation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Since data-driven models are especially susceptible to changes in data distribution, we introduce P2PDA – a generic framework for Pinhole-to-Panoramic semantic segmentation which addresses the challenge of domain divergence with different variants of attention-augmented domain adaptation modules, enabling the transfer in output-, feature-, and feature confidence spaces. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2021-10-21 |
| 472 | Learning 3D Semantic Segmentation with Only 2D Image Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 473 | Semi-supervised Domain Adaptation for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 474 | Video Instance Segmentation By Instance Flow Assembly Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: For efficient and robust tracking among instances, we introduce an instance-level correspondence across adjacent frames, which is represented by a center-to-center flow, termed as instance flow, to assemble messy dense temporal correspondences. |
Xiang Li; Jinglu Wang; Xiao Li; Yan Lu; | arxiv-cs.CV | 2021-10-20 |
| 475 | FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 476 | Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we investigate a novel method of estimating uncertainty. |
YINGHUAN SHI et. al. | arxiv-cs.CV | 2021-10-17 |
| 477 | Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we investigate and present the results of an automated feature selection approach for SAS image segmentation. |
Joshua Peeples; Daniel Suen; Alina Zare; James Keller; | arxiv-cs.CV | 2021-10-14 |
| 478 | Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 479 | Unsupervised Representation Learning for 3D Point Cloud Data Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 480 | Satellite Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 481 | Weakly-Supervised Semantic Segmentation By Learning Label Uncertainty Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 482 | Colour Augmentation for Improved Semi-supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recent work explored the challenges involved in using consistency regularization for segmentation problems. |
Geoff French; Michal Mackiewicz; | arxiv-cs.CV | 2021-10-09 |
| 483 | Multi-View Radar Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 484 | Pri3D: Can 3D Priors Help 2D Representation Learning? IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 485 | ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 486 | From Contexts to Locality: Ultra-High Resolution Image Segmentation Via Locality-Aware Contextual Correlation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 487 | Learning Meta-Class Memory for Few-Shot Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 488 | Unsupervised Segmentation Incorporating Shape Prior Via Generative Adversarial Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 489 | Personalized Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 490 | Deep Metric Learning for Open World Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 491 | Triggering Failures: Out-of-Distribution Detection By Learning From Local Adversarial Attacks in Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: In this paper, we tackle the detection of out-of-distribution (OOD) objects in semantic segmentation. |
Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot; | iccv | 2021-10-08 |
| 492 | Scaling Up Instance Annotation Via Label Propagation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 493 | ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 494 | Scribble-Supervised Semantic Segmentation Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 495 | Scaling Semantic Segmentation Beyond 1K Classes on A Single GPU Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 496 | Point Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 497 | Complementary Patch for Weakly Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 498 | Dual Path Learning for Domain Adaptation of Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 499 | Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 500 | BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 501 | Maximize The Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 502 | Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel weakly supervised approach for 3D semantic segmentation on volumetric images. |
XIAOYU ZHU et. al. | iccv | 2021-10-08 |
| 503 | Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 504 | Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 505 | A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 506 | Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From A Class-Wise Memory Bank IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: This work presents a novel approach for semi-supervised semantic segmentation. |
Inigo Alonso; Alberto Sabater; David Ferstl; Luis Montesano; Ana C. Murillo; | iccv | 2021-10-08 |
| 507 | Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel semi-supervised semantic segmentation method which jointly achieves two desiderata of segmentation model regularities: the label-space consistency property between image augmentations and the feature-space contrastive property among different pixels. |
YUANYI ZHONG et. al. | iccv | 2021-10-08 |
| 508 | Hypercorrelation Squeeze for Few-Shot Segmenation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 509 | Mining Contextual Information Beyond Image for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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. | iccv | 2021-10-08 |
| 510 | TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 511 | Exploring Cross-Image Pixel Contrast for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 512 | SIGN: Spatial-Information Incorporated Generative Network for Generalized Zero-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 513 | BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 514 | Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 515 | Local Temperature Scaling for Probability Calibration Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details Highlight: Thus, we propose a learning-based calibration method that focuses on multi-label semantic segmentation. |
Zhipeng Ding; Xu Han; Peirong Liu; Marc Niethammer; | iccv | 2021-10-08 |
| 516 | Weakly Supervised Segmentation of Small Buildings With Point Labels Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a weakly supervised segmentation network for aerial/satellite images, separately considering small and large objects. |
Jae-Hun Lee; ChanYoung Kim; Sanghoon Sull; | iccv | 2021-10-08 |
| 517 | GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 518 | Segmenter: Transformer for Semantic Segmentation IF:4 Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 519 | SemIE: Semantically-Aware Image Extrapolation Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 520 | Interaction Via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we devote to address the challenging problem of scene parsing. |
HENGHUI DING et. al. | iccv | 2021-10-08 |
| 521 | Vision-based Navigation for A Small-scale Quadruped Robot Pegasus-Mini Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 522 | Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a Joint Topology-preserving and Feature-refinement Network (JTFN) that jointly models global topology and refined features based on an iterative feedback learning strategy. |
Mingfei Cheng; Kaili Zhao; Xuhong Guo; Yajing Xu; Jun Guo; | iccv | 2021-10-08 |
| 523 | ECS-Net: Improving Weakly Supervised Semantic Segmentation By Using Connections Between Class Activation Maps IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 524 | Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 525 | Weak-shot Semantic Segmentation By Transferring Semantic Affinity and Boundary Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 526 | Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 527 | Transferability Estimation for Semantic Segmentation Task Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Thus we propose to randomly sample N pixels for computing OTCE score and take the expectation over K repetitions as the final transferability score. |
Yang Tan; Yang Li; Shao-Lun Huang; | arxiv-cs.CV | 2021-09-30 |
| 528 | Semantic Dense Reconstruction with Consistent Scene Segments Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 529 | Using Soft Labels to Model Uncertainty in Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by this, we propose a simple method to obtain soft labels from the annotations of multiple physicians and train models that, for each image, produce a single well-calibrated output that can be thresholded at multiple confidence levels, according to each application’s precision-recall requirements. |
João Lourenço Silva; Arlindo L. Oliveira; | arxiv-cs.CV | 2021-09-26 |
| 530 | GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Details 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 |
| 531 | Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 532 | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation Via Semantic Knowledge Transfer and Self-Refinement Literature Review Related Patents Related Grants Related Orgs Related Experts Related Code Details 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 |
| 533 | RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In contrast to previous work that utilizes dilated convolutions or deep mode |