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. Based in New York, Paper Digest is dedicated to producing high-quality text analysis results that people can acturally use on a daily basis. Since 2018, we have been serving users across the world with a number of exclusive services on ranking, search, tracking and automatic literature review.
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TABLE 1: Paper Digest: Recent Papers on Semantic Segmentation
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | 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 |
| 2 | 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 |
| 3 | 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 |
| 4 | 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 |
| 5 | 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 |
| 6 | PST: Plant Segmentation Transformer Enhanced Phenotyping of MLS Oilseed Rape Point Cloud Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we propose a deep learning network plant segmentation transformer (PST) to realize the semantic and instance segmentation of MLS (Mobile Laser Scanning) oilseed rape point cloud, which characterizes tiny siliques and dense points as the main traits targeted. |
Ruiming Du; Zhihong Ma; Pengyao Xie; Haiyan Cen; Yong He; | arxiv-cs.CV | 2022-06-27 |
| 7 | 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 |
| 8 | Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 9 | 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 |
| 10 | 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 |
| 11 | SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 12 | Toward Unpaired Multi-modal Medical Image Segmentation Via Learning Structured Semantic Consistency Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 13 | 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 |
| 14 | Global Context Vision Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose global context vision transformer (GC ViT), a novel architecture that enhances parameter and compute utilization. |
Ali Hatamizadeh; Hongxu Yin; Jan Kautz; Pavlo Molchanov; | arxiv-cs.CV | 2022-06-20 |
| 15 | Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 16 | 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 |
| 17 | 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 |
| 18 | Patch-level Representation Learning for Self-supervised Vision Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 19 | Simple and Efficient Architectures for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 20 | Waymo Open Dataset: Panoramic Video Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 21 | 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 |
| 22 | 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 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 |
| 23 | 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 |
| 24 | Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 25 | Proximal Splitting Adversarial Attacks for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 26 | 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 |
| 27 | 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 |
| 28 | A Multi-task Framework for Infrared Small Target Detection and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 29 | ReCo: Retrieve and Co-segment for Zero-shot Transfer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: An alternative line of work in language-image pre-training has recently demonstrated the potential to produce models that can both assign names across large vocabularies of concepts and enable zero-shot transfer for classification, but do not demonstrate commensurate segmentation abilities. In this work, we strive to achieve a synthesis of these two approaches that combines their strengths. |
Gyungin Shin; Weidi Xie; Samuel Albanie; | arxiv-cs.CV | 2022-06-14 |
| 30 | 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 |
| 31 | 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 |
| 32 | Cross-View Transformers for Real-Time Map-View Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 33 | SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 34 | Image Segmentation Using Text and Image Prompts Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 35 | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 36 | Deep Hierarchical Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 37 | HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 38 | L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 39 | SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 40 | Representation Compensation Networks for Continual Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 41 | Incremental Learning in Semantic Segmentation From Image Labels Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 42 | 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 |
| 43 | ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present ObPose, an unsupervised object-centric generative model that learns to segment 3D objects from RGB-D video in an unsupervised manner. |
Yizhe Wu; Oiwi Parker Jones; Ingmar Posner; | arxiv-cs.CV | 2022-06-07 |
| 44 | Semantic-Aware Domain Generalized Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 45 | Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present Panoptic SegFormer, a general framework for panoptic segmentation with transformers. |
ZHIQI LI et. al. | cvpr | 2022-06-07 |
| 46 | Weakly Supervised Semantic Segmentation By Pixel-to-Prototype Contrast Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 47 | 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 |
| 48 | Amodal Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 49 | Scene Consistency Representation Learning for Video Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 50 | FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 51 | 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 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 |
| 52 | Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts 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; | cvpr | 2022-06-07 |
| 53 | FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 54 | Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In particular, we propose regional semantic contrast and aggregation (RCA). |
Tianfei Zhou; Meijie Zhang; Fang Zhao; Jianwu Li; | cvpr | 2022-06-07 |
| 55 | Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 56 | Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 57 | Neural 3D Scene Reconstruction With The Manhattan-World Assumption Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 58 | 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 |
| 59 | Generalized Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 60 | Coarse-To-Fine Feature Mining for Video Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 61 | 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 |
| 62 | C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 63 | Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 64 | 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 |
| 65 | Accelerating Video Object Segmentation With Compressed Video Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 66 | NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 67 | 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 |
| 68 | Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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. | cvpr | 2022-06-07 |
| 69 | On The Road to Online Adaptation for Semantic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 70 | Hyperbolic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 71 | Wnet: Audio-Guided Video Object Segmentation Via Wavelet-Based Cross-Modal Denoising Networks Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 72 | 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 |
| 73 | 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 |
| 74 | Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 75 | 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 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; | cvpr | 2022-06-07 |
| 76 | GroupViT: Semantic Segmentation Emerges From Text Supervision Literature Review Related Patents Related Grants Related Orgs Related Experts 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. | cvpr | 2022-06-07 |
| 77 | Learning Non-Target Knowledge for Few-Shot Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 78 | 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 |
| 79 | Fast Point Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 80 | TRAVEL: Traversable Ground and Above-Ground Object Segmentation Using Graph Representation of 3D LiDAR Scans Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To that end, we propose TRAVEL, which performs traversable ground detection and object clustering simultaneously using the graph representation of a 3D point cloud. |
MINHO OH et. al. | arxiv-cs.RO | 2022-06-07 |
| 81 | Adaptive Early-Learning Correction for Segmentation From Noisy Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 82 | 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 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 |
| 83 | 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 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 |
| 84 | FocusCut: Diving Into A Focus View in Interactive Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 85 | Cross-Image Relational Knowledge Distillation for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 86 | Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 87 | 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 |
| 88 | 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 |
| 89 | Amodal Cityscapes: A New Dataset, Its Generation, and An Amodal Semantic Segmentation Challenge Baseline Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 90 | Self-Supervised Visual Representation Learning with Semantic Grouping Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we tackle the problem of learning visual representations from unlabeled scene-centric data. |
Xin Wen; Bingchen Zhao; Anlin Zheng; Xiangyu Zhang; Xiaojuan Qi; | arxiv-cs.CV | 2022-05-30 |
| 91 | 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 |
| 92 | 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 |
| 93 | BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird’s-Eye View Representation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 94 | 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 |
| 95 | Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a new architecture for unsupervised object-centric representation learning and multi-object detection and segmentation, which uses an attention mechanism to associate a feature vector to each object present in the scene and to predict the coordinates of these objects using soft-argmax. |
Bruno Sauvalle; Arnaud de La Fortelle; | arxiv-cs.CV | 2022-05-26 |
| 96 | Decoder Denoising Pretraining for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 97 | 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 |
| 98 | 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 |
| 99 | Clustering As Attention: Unified Image Segmentation with Hierarchical Clustering Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 100 | 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 |
| 101 | Scribble2D5: Weakly-Supervised Volumetric Image Segmentation Via Scribble Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 102 | 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 |
| 103 | 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 |
| 104 | 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 |
| 105 | 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 |
| 106 | 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 |
| 107 | Cross-view Transformers for Real-time Map-view Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 108 | 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 |
| 109 | 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 |
| 110 | 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 |
| 111 | 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 a review of medical image segmentation methods using belief function theory. |
Ling Huang; Su Ruan; | arxiv-cs.CV | 2022-05-03 |
| 112 | 3D Semantic Scene Perception Using Distributed Smart Edge Sensors Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 113 | 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; | arxiv-cs.CV | 2022-05-02 |
| 114 | Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation By Deep Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: So far, our understanding of the learning behavior of DNNs trained by noisy segmentation labels remains limited. In this study, 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 |
| 115 | Self-Supervised Learning of Object Parts for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 116 | 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 |
| 117 | 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 |
| 118 | Semi-supervised 3D Shape Segmentation with Multilevel Consistency and Part Substitution Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 119 | Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 120 | Language-Grounded Indoor 3D Semantic Segmentation in The Wild Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 121 | 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. | arxiv-cs.CV | 2022-04-16 |
| 122 | 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 |
| 123 | RecurSeed and CertainMix for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose RecurSeed which alternately reduces non- and false-detections through recursive iterations, thereby implicitly finding an optimal junction that minimizes both errors. |
Sang Hyun Jo; In Jae Yu; Kyung-Su Kim; | arxiv-cs.CV | 2022-04-14 |
| 124 | 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 |
| 125 | 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 |
| 126 | HFT: Lifting Perspective Representations Via Hybrid Feature Transformation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 127 | 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 |
| 128 | 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 |
| 129 | An Empirical Study of Remote Sensing Pretraining Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 130 | 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 |
| 131 | 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 |
| 132 | Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 133 | Abstract Flow for Temporal Semantic Segmentation on The Permutohedral Lattice Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 134 | Mc-BEiT: Multi-choice Discretization for Image BERT Pre-training Literature Review Related Patents Related Grants Related Orgs Related Experts 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. | arxiv-cs.CV | 2022-03-29 |
| 135 | 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 |
| 136 | Self-Supervised Leaf Segmentation Under Complex Lighting Conditions Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 137 | 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 |
| 138 | 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 |
| 139 | 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 |
| 140 | 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 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 |
| 141 | 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 |
| 142 | StructToken : Rethinking Semantic Segmentation with Structural Prior Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present structure token (StructToken), a new paradigm for semantic segmentation. |
FANGJIAN LIN et. al. | arxiv-cs.CV | 2022-03-23 |
| 143 | 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 |
| 144 | CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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; | arxiv-cs.CV | 2022-03-22 |
| 145 | Multiple Convex Objects Image Segmentation Via Proximal Alternating Direction Method of Multipliers Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: An image segmentation model incorporating convex shape prior into a probability-based method is proposed. |
Shousheng Luo; Jinfeng Chen; Yunhai Xiao; Xue-Cheng Tai; | arxiv-cs.CV | 2022-03-21 |
| 146 | Robust Visual Tracking By Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a segmentation-centric tracking pipeline that not only produces a highly accurate segmentation mask, but also works internally with segmentation masks instead of bounding boxes. |
Matthieu Paul; Martin Danelljan; Christoph Mayer; Luc Van Gool; | arxiv-cs.CV | 2022-03-21 |
| 147 | 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 |
| 148 | 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. | arxiv-cs.CV | 2022-03-21 |
| 149 | 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 |
| 150 | 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 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 |
| 151 | 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 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 |
| 152 | ESS: Learning Event-based Semantic Segmentation from Still Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we introduce ESS, 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; | arxiv-cs.CV | 2022-03-18 |
| 153 | Multi-similarity Based Hyperrelation Network for Few-shot Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 154 | TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: 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; | arxiv-cs.CV | 2022-03-17 |
| 155 | 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 |
| 156 | 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; | arxiv-cs.CV | 2022-03-16 |
| 157 | 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 |
| 158 | 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 |
| 159 | Hyperbolic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 160 | 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 |
| 161 | MLSeg: Image and Video Segmentation As Multi-Label Classification and Selected-Label Pixel Classification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: 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 selected-label classification. |
Haodi He; Yuhui Yuan; Xiangyu Yue; Han Hu; | arxiv-cs.CV | 2022-03-08 |
| 162 | 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 |
| 163 | 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 |
| 164 | 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 |
| 165 | Semantic Segmentation in Art Paintings Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 166 | Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Existing semi-supervised solutions show great potential toward solving this problem. |
CONG CAO et. al. | arxiv-cs.CV | 2022-03-05 |
| 167 | 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; | arxiv-cs.CV | 2022-03-05 |
| 168 | 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 |
| 169 | Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 170 | Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 171 | 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 |
| 172 | Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle these problems, we propose a novel approach to semantic segmentation for LiDAR sequences named Meta-RangeSeg, where a novel range residual image representation is introduced to capture the spatial-temporal information. |
Song Wang; Jianke Zhu; Ruixiang Zhang; | arxiv-cs.CV | 2022-02-27 |
| 173 | Transformer-based Knowledge Distillation for Efficient Semantic Segmentation of Road-driving Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In contrast, we present a novel KD framework according to the nature of transformers, i.e., training compact transformers by transferring the knowledge from feature maps and patch embeddings of large transformers. |
RUIPING LIU et. al. | arxiv-cs.CV | 2022-02-27 |
| 174 | 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 |
| 175 | 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 |
| 176 | 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 |
| 177 | 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 |
| 178 | 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 |
| 179 | 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 |
| 180 | Few-shot Semantic Segmentation Via Mask Aggregation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 181 | 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 |
| 182 | Language-driven Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 183 | 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 |
| 184 | Bootstrapping Semantic Segmentation with Regional Contrast Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 185 | Unsupervised Discovery of Object Radiance Fields Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 186 | PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 187 | 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 |
| 188 | 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 |
| 189 | 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 |
| 190 | DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To advance the research in this direction, we present a transformer-based model for end-to-end segmentation of complex layouts in document images. |
Sanket Biswas; Ayan Banerjee; Josep Lladós; Umapada Pal; | arxiv-cs.CV | 2022-01-27 |
| 191 | Class-Aware Generative 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 generative adversarial transformers, for 2D medical image segmentation. |
CHENYU YOU et. al. | arxiv-cs.CV | 2022-01-25 |
| 192 | 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 |
| 193 | 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 |
| 194 | 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 |
| 195 | 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 |
| 196 | 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 |
| 197 | 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 |
| 198 | Self-semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: More specifically, we propose a multi-task framework to learn a contouring adaptation network along with a semantic segmentation adaptation network, which takes both magnetic resonance imaging (MRI) slice and its initial edge map as input. |
Xiaofeng Liu; Fangxu Xing; Georges El Fakhri; Jonghye Woo; | arxiv-cs.CV | 2022-01-13 |
| 199 | Boundary-aware Self-supervised Learning for Video Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 200 | 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 |
| 201 | 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 |
| 202 | Language-driven Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 203 | 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 |
| 204 | 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 |
| 205 | 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 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 |
| 206 | Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations Via Large Window Attention Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 207 | Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 208 | Towards Unsupervised Open World Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 209 | 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 |
| 210 | Contextual Ensemble Network for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: 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 |
| 211 | Learning Panoptic Segmentation Through Feature Discriminability Literature Review Related Patents Related Grants Related Orgs Related Experts Details Abstract: Abstract Panoptic segmentation has attracted increasing attention as a joint task of semantic and instance segmentation. However, previous works have not noticed that the … |
Tao Chu; Wenjie Cai; Qiong Liu; | Pattern Recognition | 2022-01-01 |
| 212 | 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 |
| 213 | 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 |
| 214 | 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: 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. … |
Katarzyna Hajdowska; Sebastian Student; Damian Borys; | Biomed. Signal Process. Control. | 2022-01-01 |
| 215 | 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: Abstract Automatic identification of coal macerals has been a long-term pursuit for coal petrologists. As the rapid developments of computational processing capacities and … |
Yue Wang; Xiangfei Bai; Linlin Wu; Yuhong Zhang; Sijian Qu; | Fuel | 2022-01-01 |
| 216 | 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 |
| 217 | 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 |
| 218 | 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 |
| 219 | 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 | |
| 220 | 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 |
| 221 | 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 | |
| 222 | 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 |
| 223 | A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 224 | MSeg: A Composite Dataset for Multi-domain Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 225 | 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 |
| 226 | Temporally Constrained Neural Networks (TCNN): A Framework for Semi-supervised Video Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we present Temporally Constrained Neural Networks (TCNN), a semi-supervised framework used for video semantic segmentation of surgical videos. |
DEEPAK ALAPATT et. al. | arxiv-cs.CV | 2021-12-27 |
| 227 | SeMask: Semantically Masked Transformers for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 228 | TagLab: A Human-centric AI System for Interactive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 229 | 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 |
| 230 | 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 |
| 231 | 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 |
| 232 | 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 |
| 233 | Open-Vocabulary Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose OpenSeg to address the above issue. |
Golnaz Ghiasi; Xiuye Gu; Yin Cui; Tsung-Yi Lin; | arxiv-cs.CV | 2021-12-22 |
| 234 | 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 |
| 235 | Mask2Former for Video Instance Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 236 | Image Segmentation Using Text and Image Prompts Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 237 | 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 |
| 238 | 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 |
| 239 | Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: 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; | arxiv-cs.CV | 2021-12-16 |
| 240 | 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 |
| 241 | Autoencoder-based Background Reconstruction and Foreground Segmentation with Background Noise Estimation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 242 | PP-HumanSeg: Connectivity-Aware Portrait Segmentation with A Large-Scale Teleconferencing Video Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 243 | GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we build a new dataset dubbed Aquatic Animal Species. |
Minh-Quan Le; Trung-Nghia Le; Tam V. Nguyen; Isao Echizen; Minh-Triet Tran; | arxiv-cs.CV | 2021-12-12 |
| 244 | Attacking Point Cloud Segmentation with Color-only Perturbation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Hence, we propose a new color-only perturbation method named COLPER, and tailor it to semantic segmentation. |
Jiacen Xu; Zhe Zhou; Boyuan Feng; Yufei Ding; Zhou Li; | arxiv-cs.CV | 2021-12-10 |
| 245 | Exploring Event-driven Dynamic Context for Accident Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 246 | A Shared Representation for Photorealistic Driving Simulators Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 247 | 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 |
| 248 | A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 249 | 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 |
| 250 | 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 |
| 251 | Label-Efficient Semantic Segmentation with Diffusion Models Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 252 | Diffusion Models for Implicit Image Segmentation Ensembles Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 253 | 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 |
| 254 | 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 |
| 255 | TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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. | arxiv-cs.CV | 2021-12-02 |
| 256 | Masked-attention Mask Transformer for Universal Image Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 257 | 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 |
| 258 | DenseCLIP: Extract Free Dense Labels from CLIP Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Many recent studies leverage the pre-trained CLIP models for image-level classification and manipulation. |
Chong Zhou; Chen Change Loy; Bo Dai; | arxiv-cs.CV | 2021-12-02 |
| 259 | SegDiff: Image Segmentation with Diffusion Probabilistic Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a method for extending such models for performing image segmentation. |
Tomer Amit; Eliya Nachmani; Tal Shaharbany; Lior Wolf; | arxiv-cs.CV | 2021-12-01 |
| 260 | 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 |
| 261 | 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 |
| 262 | 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 |
| 263 | 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 |
| 264 | 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 |
| 265 | Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we highlight the issue of annotator-related biases on medical image segmentation tasks, and propose a Preference-involved Annotation Distribution Learning (PADL) framework to address it from the perspective of disentangling an annotator’s preference from stochastic errors using distribution learning so as to produce not only a meta segmentation but also the segmentation possibly made by each annotator. |
Zehui Liao; Shishuai Hu; Yutong Xie; Yong Xia; | arxiv-cs.CV | 2021-11-26 |
| 266 | 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 |
| 267 | 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 |
| 268 | 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 |
| 269 | 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 |
| 270 | 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 |
| 271 | Improving Semantic Image Segmentation Via Label Fusion in Semantically Textured Meshes Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 272 | ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 273 | EditGAN: High-Precision Semantic Image Editing IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 274 | The Emergence of Objectness: Learning Zero-shot Segmentation from Videos Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 275 | Few-Shot Segmentation Via Cycle-Consistent Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 276 | K-Net: Towards Unified Image Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 277 | 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 |
| 278 | 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 |
| 279 | Panoptic 3D Scene Reconstruction From A Single RGB Image Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 280 | 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 |
| 281 | Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 282 | Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 283 | ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 284 | Panoptic Segmentation: A Review Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 285 | 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 |
| 286 | SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 287 | 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 |
| 288 | Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes an interactive segmentation framework, called interactive MEdical segmentation with self-adaptive Confidence CAlibration (MECCA), by introducing the corrective action evaluation, which combines the action-based confidence learning and multi-agent reinforcement learning (MARL). |
WENHAO LI et. al. | arxiv-cs.CV | 2021-11-15 |
| 289 | 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 |
| 290 | 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 |
| 291 | 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 |
| 292 | The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 293 | D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel approach to real-time target area segmentation based on a newly designed spatial temporal network. |
Wentao Lu; Claude Sammut; | arxiv-cs.RO | 2021-11-08 |
| 294 | 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 |
| 295 | 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 |
| 296 | Panoptic 3D Scene Reconstruction From A Single RGB Image Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 297 | 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 |
| 298 | 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 |
| 299 | 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 |
| 300 | 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 |
| 301 | MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 302 | TMBuD: A Dataset for Urban Scene Building Detection Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 303 | Inferring The Class Conditional Response Map for Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 304 | BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 305 | 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 |
| 306 | 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 |
| 307 | 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 |
| 308 | Multi-Domain Incremental Learning for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 309 | 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 |
| 310 | Transfer Beyond The Field of View: Dense Panoramic Semantic Segmentation Via Unsupervised Domain Adaptation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 311 | 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 |
| 312 | 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 |
| 313 | 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 |
| 314 | Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate a novel method of estimating uncertainty. |
YINGHUAN SHI et. al. | arxiv-cs.CV | 2021-10-17 |
| 315 | 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 |
| 316 | 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 |
| 317 | 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 |
| 318 | Satellite Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 319 | 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 |
| 320 | 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 |
| 321 | Multi-View Radar Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 322 | From Contexts to Locality: Ultra-High Resolution Image Segmentation Via Locality-Aware Contextual Correlation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 323 | Pri3D: Can 3D Priors Help 2D Representation Learning? IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 324 | Learning Meta-Class Memory for Few-Shot Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 325 | 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 |
| 326 | Personalized Image Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 327 | 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 |
| 328 | 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 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 |
| 329 | ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 330 | 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 |
| 331 | Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 332 | 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 |
| 333 | 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 |
| 334 | Scaling Semantic Segmentation Beyond 1K Classes on A Single GPU Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 335 | Complementary Patch for Weakly Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 336 | Dual Path Learning for Domain Adaptation of Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 337 | Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 338 | BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 339 | 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 |
| 340 | 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 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 |
| 341 | 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 |
| 342 | Point Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 343 | 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 |
| 344 | Mining Contextual Information Beyond Image for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 345 | A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 346 | 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 |
| 347 | Exploring Cross-Image Pixel Contrast for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 348 | Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 349 | BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 350 | 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 |
| 351 | Local Temperature Scaling for Probability Calibration Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 352 | 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 |
| 353 | 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 |
| 354 | Segmenter: Transformer for Semantic Segmentation IF:4 Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 355 | 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 |
| 356 | 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 |
| 357 | 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 |
| 358 | 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 |
| 359 | 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 |
| 360 | 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 |
| 361 | 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 |
| 362 | Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 363 | 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 categories to novel ones. |
Siyuan Zhou; Li Niu; Jianlou Si; Chen Qian; Liqing Zhang; | arxiv-cs.CV | 2021-10-04 |
| 364 | Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 365 | 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 |
| 366 | 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 |
| 367 | 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 |
| 368 | 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 |
| 369 | Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts 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 |
| 370 | 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 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 |
| 371 | 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 models, we propose a novel two-stream deep neural network for semantic segmentation of RSI (RSI-Net) to obtain improved performance through modeling and propagating spatial contextual structure effectively and a decoding scheme with image-level and graph-level combination. |
SHUANG HE et. al. | arxiv-cs.CV | 2021-09-19 |
| 372 | UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Transformer-based decoder and construct a UNet-like Transformer (UNetFormer) for real-time urban scene segmentation. |
LIBO WANG et. al. | arxiv-cs.CV | 2021-09-18 |
| 373 | Context-aware Padding for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: As an alternative, we propose a context-aware (CA) padding approach to extend the image. |
Yu-Hui Huang; Marc Proesmans; Luc Van Gool; | arxiv-cs.CV | 2021-09-16 |
| 374 | Dense Semantic Contrast for Self-Supervised Visual Representation Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present Dense Semantic Contrast (DSC) for modeling semantic category decision boundaries at a dense level to meet the requirement of these tasks. |
XIAONI LI et. al. | arxiv-cs.CV | 2021-09-16 |
| 375 | Evaluating The Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we evaluate the quality of semantic maps generated by state-of-the-art class- and instance-aware dense semantic SLAM algorithms whose codes are publicly available and explore the impacts both semantic segmentation and pose estimation have on the quality of semantic maps. |
SUMAN RAJ BISTA et. al. | arxiv-cs.RO | 2021-09-16 |
| 376 | MISSFormer: An Effective Medical Image Segmentation Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, taking medical image segmentation as an example, we present MISSFormer, an effective and powerful Medical Image Segmentation tranSFormer. |
Xiaohong Huang; Zhifang Deng; Dandan Li; Xueguang Yuan; | arxiv-cs.CV | 2021-09-15 |
| 377 | S3LAM: Structured Scene SLAM Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene. |
Mathieu Gonzalez; Eric Marchand; Amine Kacete; Jérôme Royan; | arxiv-cs.RO | 2021-09-15 |
| 378 | Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Thus, we propose to segment egocentric images directly in terms of how a robot can navigate in them, and tailor the learning problem to an autonomous navigation task. |
Galadrielle Humblot-Renaux; Letizia Marchegiani; Thomas B. Moeslund; Rikke Gade; | arxiv-cs.RO | 2021-09-15 |
| 379 | Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Motivated by this investigation, we propose a new framework for the outdoor LiDAR segmentation, where cylindrical partition and asymmetrical 3D convolution networks are designed to explore the 3D geometric pattern while maintaining these inherent properties. |
XINGE ZHU et. al. | arxiv-cs.CV | 2021-09-12 |
| 380 | DeepPyram: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a semantic segmentation network termed as DeepPyram that can achieve superior performance in segmenting relevant objects in cataract surgery videos with varying issues. |
Negin Ghamsarian; Mario Taschwer; klaus Schoeffmann; | arxiv-cs.CV | 2021-09-11 |
| 381 | UCTransNet: Rethinking The Skip Connections in U-Net from A Channel-wise Perspective with Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on our findings, we propose a new segmentation framework, named UCTransNet (with a proposed CTrans module in U-Net), from the channel perspective with attention mechanism. |
Haonan Wang; Peng Cao; Jiaqi Wang; Osmar R. Zaiane; | arxiv-cs.CV | 2021-09-09 |
| 382 | Panoptic NuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce the large-scale Panoptic nuScenes benchmark dataset that extends our popular nuScenes dataset with point-wise groundtruth annotations for semantic segmentation, panoptic segmentation, and panoptic tracking tasks. |
WHYE KIT FONG et. al. | arxiv-cs.CV | 2021-09-08 |
| 383 | Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Spatial-Temporal Semantic Consistency method to capture class-exclusive context information. |
XINGJIAN HE et. al. | arxiv-cs.CV | 2021-09-06 |
| 384 | Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an access control method that uses the spatially invariant permutation of feature maps with a secret key for protecting semantic segmentation models. |
Hiroki Ito; MaungMaung AprilPyone; Hitoshi Kiya; | arxiv-cs.CV | 2021-09-03 |
| 385 | Semantic Segmentation on VSPW Dataset Through Aggregation of Transformer Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this report, we briefly introduce the solutions of team ‘BetterThing’ for the ICCV2021 – Video Scene Parsing in the Wild Challenge. |
Zixuan Chen; Junhong Zou; Xiaotao Wang; | arxiv-cs.CV | 2021-09-03 |
| 386 | Weakly Supervised Few-Shot Segmentation Via Meta-Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present two novel meta learning methods, named WeaSeL and ProtoSeg, for the few-shot semantic segmentation task with sparse annotations. |
Pedro H. T. Gama; Hugo Oliveira; José Marcato Junior; Jefersson A. dos Santos; | arxiv-cs.CV | 2021-09-03 |
| 387 | Memory Based Video Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this report, we introduce our solution for the 1st Video Scene Parsing in the Wild Challenge, which achieves a mIoU of 57.44 and obtained the 2nd place (our team name is CharlesBLWX). |
Zhenchao Jin; Dongdong Yu; Kai Su; Zehuan Yuan; Changhu Wang; | arxiv-cs.CV | 2021-09-01 |
| 388 | Automatic Labelling of Urban Point Clouds Using Data Fusion Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe an approach to semi-automatically create a labelled dataset for semantic segmentation of urban street-level point clouds. |
Daan Bloembergen; Chris Eijgenstein; | arxiv-cs.CV | 2021-08-31 |
| 389 | LUAI Challenge 2021 on Learning to Understand Aerial Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images. |
GUI-SONG XIA et. al. | arxiv-cs.CV | 2021-08-30 |
| 390 | Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we present a framework for semi-supervised and domain-adaptive semantic segmentation, which is enhanced by self-supervised monocular depth estimation (SDE) trained only on unlabeled image sequences. |
Lukas Hoyer; Dengxin Dai; Qin Wang; Yuhua Chen; Luc Van Gool; | arxiv-cs.CV | 2021-08-27 |
| 391 | An Underwater Image Semantic Segmentation Method Focusing on Boundaries and A Real Underwater Scene Semantic Segmentation Dataset Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on this dataset, we propose a semi-supervised underwater semantic segmentation network focusing on the boundaries(US-Net: Underwater Segmentation Network). |
ZHIWEI MA et. al. | arxiv-cs.CV | 2021-08-26 |
| 392 | PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation Via Poisson Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these problems, we propose a novel semi-supervised FSS framework for medical image segmentation. |
XIAOANG SHEN et. al. | arxiv-cs.CV | 2021-08-26 |
| 393 | Improving The Reliability of Semantic Segmentation of Medical Images By Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose a novel method which leverages the uncertainty measures provided by Bayesian deep networks through curriculum learning so that the uncertainty estimates are fed back to the system to resample the training data more densely in areas where uncertainty is high. |
Sora Iwamoto; Bisser Raytchev; Toru Tamaki; Kazufumi Kaneda; | arxiv-cs.CV | 2021-08-26 |
| 394 | Semantic Scene Segmentation for Robotics Applications Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate the behavior of the most successful semantic scene segmentation models, in terms of deployment (inference) speed, under various setups (GPUs, input sizes, etc.) in the context of robotics applications. |
Maria Tzelepi; Anastasios Tefas; | arxiv-cs.CV | 2021-08-25 |
| 395 | ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel data augmentation method focused on exploring the spatial context of remote sensing semantic segmentation. |
Matheus Barros Pereira; Jefersson Alex dos Santos; | arxiv-cs.CV | 2021-08-25 |
| 396 | Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we propose a semi-supervised image segmentation technique based on the concept of multi-view learning. |
Himashi Peiris; Zhaolin Chen; Gary Egan; Mehrtash Harandi; | arxiv-cs.CV | 2021-08-25 |
| 397 | A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In contrast to popular end-to-end deep learning solutions, we propose a hybrid method with an existing semantic segmentation network to extract semantic information and a traditional LiDAR point cloud cluster algorithm to split each instance object. |
Yiming Zhao; Xiao Zhang; Xinming Huang; | arxiv-cs.CV | 2021-08-21 |
| 398 | Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we build a wearable system with a novel dual-head Transformer for Transparency (Trans4Trans) perception model, which can segment general- and transparent objects. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2021-08-20 |
| 399 | FSNet: A Failure Detection Framework for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we propose a failure detection framework to identify pixel-level misclassification. |
Quazi Marufur Rahman; Niko Sünderhauf; Peter Corke; Feras Dayoub; | arxiv-cs.CV | 2021-08-19 |
| 400 | Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To improve the generality of the objective activation maps, we propose a region prototypical network RPNet to explore the cross-image object diversity of the training set. |
Weide Liu; Xiangfei Kong; Tzu-Yi Hung; Guosheng Lin; | arxiv-cs.CV | 2021-08-16 |
| 401 | A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To deal with the above two issues, we propose self-distillation embedded supervised affinity attention model (SD-AANet) to improve the performance of few-shot segmentation task. |
Qi Zhao; Binghao Liu; Shuchang Lyu; Xu Wang; Lijiang Chen; | arxiv-cs.CV | 2021-08-14 |
| 402 | Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities. |
Simon Bultmann; Jan Quenzel; Sven Behnke; | arxiv-cs.CV | 2021-08-14 |
| 403 | Boundary Knowledge Translation Based Reference Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce a novel Reference semantic segmentation Network (Ref-Net) to conduct visual boundary knowledge translation. |
LECHAO CHENG et. al. | ijcai | 2021-08-13 |
| 404 | Medical Image Segmentation Using Squeeze-and-Expansion Transformers IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose Segtran, an alternative segmentation framework based on transformers, which have unlimited "effective receptive fields" even at high feature resolutions. |
SHAOHUA LI et. al. | ijcai | 2021-08-13 |
| 405 | SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present SimCVD, a simple contrastive distillation framework that significantly advances state-of-the-art voxel-wise representation learning. |
Chenyu You; Yuan Zhou; Ruihan Zhao; Lawrence Staib; James S. Duncan; | arxiv-cs.CV | 2021-08-13 |
| 406 | IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation Through Iterative Mutual Enhancement Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We argue that this sequential scheme does not ensure these two tasks fully benefit each other, and present an Iterative Mutual Enhancement Network (IMENet) to solve them jointly, which interactively refines the two tasks at the late prediction stage. |
Jie Li; Laiyan Ding; Rui Huang; | ijcai | 2021-08-13 |
| 407 | Segmenting Transparent Objects in The Wild with Transformer Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work presents a new fine-grained transparent object segmentation dataset, termed Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation dataset. |
ENZE XIE et. al. | ijcai | 2021-08-13 |
| 408 | DensePASS: Dense Panoramic Semantic Segmentation Via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we look at this problem through the lens of domain adaptation and bring panoramic semantic segmentation to a setting, where labelled training data originates from a different distribution of conventional pinhole camera images. |
Chaoxiang Ma; Jiaming Zhang; Kailun Yang; Alina Roitberg; Rainer Stiefelhagen; | arxiv-cs.CV | 2021-08-13 |
| 409 | Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene Via Deep Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Towards this goal, we investigate the use of deep learning to semantically segment oil and gas industrial scenes. |
Romain Cazorla; Line Poinel; Panagiotis Papadakis; Cédric Buche; | ijcai | 2021-08-13 |
| 410 | Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Based on this fact, we propose to generate images which are the same as real images of the scene taken in certain novel view directions for training and evaluation. |
Xin Tong; Xianghua Ying; Yongjie Shi; He Zhao; Ruibin Wang; | ijcai | 2021-08-13 |
| 411 | Learning Visual Words for Weakly-Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, to tackle this problem, we proposed to simultaneously learn the image-level labels and local visual word labels. |
Lixiang Ru; Bo Du; Chen Wu; | ijcai | 2021-08-13 |
| 412 | Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a built-in memory module for semantic segmentation is proposed to overcome these problems. |
Youngsaeng Jin; David K. Han; Hanseok Ko; | arxiv-cs.CV | 2021-08-12 |
| 413 | A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a real-time online vision framework to jointly recover an indoor scene’s 3D structure and semantic label. |
DAVIDE MENINI et. al. | arxiv-cs.CV | 2021-08-11 |
| 414 | UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships Through The Lens of Adversarial Attacks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we develop UniNet, a unified scene understanding network that accurately and efficiently infers vital vision tasks including object detection, semantic segmentation, instance segmentation, monocular depth estimation, and monocular instance depth prediction. |
NareshKumar Gurulingan; Elahe Arani; Bahram Zonooz; | arxiv-cs.CV | 2021-08-10 |
| 415 | Unknown Object Segmentation Through Domain Adaptation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we proposed a sim-to-real framework to transfer the object segmentation model learned in simulation to the real-world. |
Yiting Chen; Chenguang Yang; Miao Li; | arxiv-cs.RO | 2021-08-09 |
| 416 | LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we propose LatticeNet, a novel approach for 3D semantic segmentation, which takes raw point clouds as input. |
Radu Alexandru Rosu; Peer Schütt; Jan Quenzel; Sven Behnke; | arxiv-cs.CV | 2021-08-09 |
| 417 | Boundary-aware Graph Reasoning for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Boundary-aware Graph Reasoning (BGR) module to learn long-range contextual features for semantic segmentation. |
HAOTENG TANG et. al. | arxiv-cs.CV | 2021-08-08 |
| 418 | An EM Framework for Online Incremental Learning of Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To ad- dress this, we propose an incremental learning strategy that can fast adapt deep segmentation models without catastrophic forgetting, using a streaming input data with pixel annotations on the novel classes only. |
Shipeng Yan; Jiale Zhou; Jiangwei Xie; Songyang Zhang; Xuming He; | arxiv-cs.CV | 2021-08-08 |
| 419 | Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions During Clinical Evaluation of Medical Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we suggest a novel conditional inference technique for DNNs which takes the intervention by a medical expert as test time constraints and performs inference conditioned upon these constraints. |
Bhavani Sambaturu; Ashutosh Gupta; C. V. Jawahar; Chetan Arora; | arxiv-cs.CV | 2021-08-06 |
| 420 | Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. |
AISHWARYA UNNIKRISHNAN et. al. | arxiv-cs.RO | 2021-08-06 |
| 421 | Bird’s-Eye-View Panoptic Segmentation Using Monocular Frontal View Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present the first BEV panoptic segmentation approach for directly predicting dense panoptic segmentation maps in the BEV, given a single monocular image in the frontal view (FV). |
Nikhil Gosala; Abhinav Valada; | arxiv-cs.CV | 2021-08-06 |
| 422 | Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we are going to extract the region of interest ( i.e, bounding boxes of the tumors) and feed-forward them to one semantic segmentation encoder-decoder structure based on its classification (i.e, malignant or benign). |
Mohamed Mejri; Aymen Mejri; Oumayma Mejri; Chiraz Fekih; | arxiv-cs.AI | 2021-08-06 |
| 423 | Attention-based Fusion of Semantic Boundary and Non-boundary Information to Improve Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces a method for image semantic segmentation grounded on a novel fusion scheme, which takes place inside a deep convolutional neural network. |
Jefferson Fontinele; Gabriel Lefundes; Luciano Oliveira; | arxiv-cs.CV | 2021-08-05 |
| 424 | Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose to use a more flexible approach by introducing Normalizing Flows (NFs), which enables the learnt densities to be more complex and facilitate more accurate modeling for uncertainty. |
M. M. A. Valiuddin; C. G. A. Viviers; R. J. G. van Sloun; P. H. N. de With; F. van der Sommen; | arxiv-cs.CV | 2021-08-04 |
| 425 | Image-based Scene Recognition for Robot Navigation Considering Traversable Plants and Its Manual Annotation-free Training Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes a method of estimating the traversability of plant parts covering a path and navigating through them for mobile robots operating in plant-rich environments. |
Shigemichi Matsuzaki; Hiroaki Masuzawa; Jun Miura; | arxiv-cs.RO | 2021-08-02 |
| 426 | Robust Semantic Segmentation with Superpixel-Mix Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To improve reliability, we introduce Superpixel-mix, a new superpixel-based data augmentation method with teacher-student consistency training. |
GIANNI FRANCHI et. al. | arxiv-cs.CV | 2021-08-02 |
| 427 | Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs Using Graph Neural Networks Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a reinforcement learning framework that leverages high-level hierarchical representations to learn navigation policies. |
Zachary Ravichandran; Lisa Peng; Nathan Hughes; J. Daniel Griffith; Luca Carlone; | arxiv-cs.RO | 2021-08-02 |
| 428 | CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we proposed a novel strategy that reformulated the popularly-used convolution operation to multi-layer convolutional sparse coding block to ease the aforementioned deficiency. |
HAITONG TANG et. al. | arxiv-cs.CV | 2021-08-01 |
| 429 | Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a new iterative unsupervised algorithm for learning deep features for SAS image segmentation. |
Yung-Chen Sun; Isaac D. Gerg; Vishal Monga; | arxiv-cs.CV | 2021-07-30 |
| 430 | A Unified Efficient Pyramid Transformer for Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we advocate a unified framework(UN-EPT) to segment objects by considering both context information and boundary artifacts. |
FANGRUI ZHU et. al. | arxiv-cs.CV | 2021-07-29 |
| 431 | Open-World Entity Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a new image segmentation task, called Entity Segmentation (ES), which aims to segment all visual entities (objects and stuffs) in an image without predicting their semantic labels. |
LU QI et. al. | arxiv-cs.CV | 2021-07-29 |
| 432 | CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a network injected with contextual information (CI-Net) to solve the problem. |
TIANXIAO GAO et. al. | arxiv-cs.CV | 2021-07-29 |
| 433 | Global Aggregation Then Local Distribution for Scene Parsing Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate this problem, we propose to explore the local context for making the aggregated long-range relationship being distributed more accurately in local regions. |
XIANGTAI LI et. al. | arxiv-cs.CV | 2021-07-27 |
| 434 | AASeg: Attention Aware Network for Real Time Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a new network named Attention Aware Network (AASeg) for real time semantic image segmentation. |
Abhinav Sagar; | arxiv-cs.CV | 2021-07-27 |
| 435 | Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce a method that allows to automatically segment images into semantically meaningful regions without human supervision. |
Daniil Pakhomov; Sanchit Hira; Narayani Wagle; Kemar E. Green; Nassir Navab; | arxiv-cs.CV | 2021-07-26 |
| 436 | Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we focus on the challenging multicategory instance segmentation problem in remote sensing images (RSIs), which aims at predicting the categories of all instances and localizing them with pixel-level masks. |
TIANYANG ZHANG et. al. | arxiv-cs.CV | 2021-07-25 |
| 437 | ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To reduce the huge annotation burden, we propose a Region-based and Diversity-aware Active Learning (ReDAL), a general framework for many deep learning approaches, aiming to automatically select only informative and diverse sub-scene regions for label acquisition. |
TSUNG-HAN WU et. al. | arxiv-cs.CV | 2021-07-25 |
| 438 | Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we train a semantic point cloud segmentation network with only a small portion of points being labeled. |
Jiacheng Wei; Guosheng Lin; Kim-Hui Yap; Fayao Liu; Tzu-Yi Hung; | arxiv-cs.CV | 2021-07-23 |
| 439 | Standardized Max Logits: A Simple Yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we propose a simple yet effective approach that standardizes the max logits in order to align the different distributions and reflect the relative meanings of max logits within each predicted class. |
Sanghun Jung; Jungsoo Lee; Daehoon Gwak; Sungha Choi; Jaegul Choo; | arxiv-cs.CV | 2021-07-23 |
| 440 | AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose Augmentation Consistency-guided Self-training (AUGCO), a source-free adaptation algorithm that uses the model’s pixel-level predictive consistency across diverse, automatically generated views of each target image along with model confidence to identify reliable pixel predictions, and selectively self-trains on those. |
Viraj Prabhu; Shivam Khare; Deeksha Kartik; Judy Hoffman; | arxiv-cs.CV | 2021-07-21 |
| 441 | CycleMLP: A MLP-like Architecture for Dense Prediction IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a simple MLP-like architecture, CycleMLP, which is a versatile backbone for visual recognition and dense predictions. |
SHOUFA CHEN et. al. | arxiv-cs.CV | 2021-07-21 |
| 442 | Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this, we adopt a superpixel representation and develop a robust iterative learning strategy that combines noise-aware training of segmentation network and noisy label refinement, both guided by the superpixels. |
Shuailin Li; Zhitong Gao; Xuming He; | arxiv-cs.CV | 2021-07-21 |
| 443 | Weighted Intersection Over Union (wIoU): A New Evaluation Metric for Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel evaluation metric for performance evaluation of semantic segmentation. |
Yeong-Jun Cho; | arxiv-cs.CV | 2021-07-20 |
| 444 | Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we focus on a less explored, but more realistic and complex problem of domain adaptation in LiDAR semantic segmentation. |
Mrigank Rochan; Shubhra Aich; Eduardo R. Corral-Soto; Amir Nabatchian; Bingbing Liu; | arxiv-cs.CV | 2021-07-20 |
| 445 | Double Similarity Distillation for Semantic Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, motivated by the residual learning and global aggregation, we propose a simple yet general and effective knowledge distillation framework called double similarity distillation (DSD) to improve the classification accuracy of all existing compact networks by capturing the similarity knowledge in pixel and category dimensions, respectively. |
Yingchao Feng; Xian Sun; Wenhui Diao; Jihao Li; Xin Gao; | arxiv-cs.CV | 2021-07-18 |
| 446 | Unsupervised Discovery of Object Radiance Fields Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose unsupervised discovery of Object Radiance Fields (uORF), integrating recent progresses in neural 3D scene representations and rendering with deep inference networks for unsupervised 3D scene decomposition. |
Hong-Xing Yu; Leonidas J. Guibas; Jiajun Wu; | arxiv-cs.CV | 2021-07-16 |
| 447 | DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose DANCE, general automated DAta-Network Co-optimization for Efficient segmentation model training and inference. |
CHAOJIAN LI et. al. | arxiv-cs.CV | 2021-07-16 |
| 448 | Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present the first end-to-end, single-stage method for panoptic segmentation of Satellite Image Time Series (SITS). |
Vivien Sainte Fare Garnot; Loic Landrieu; | arxiv-cs.CV | 2021-07-16 |
| 449 | Per-Pixel Classification Is Not All You Need for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts 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; Alexander G. Schwing; Alexander Kirillov; | arxiv-cs.CV | 2021-07-13 |
| 450 | End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we introduce a novel, end-to-end trainable CNN-based architecture to deliver high quality results for grasp detection suitable for a parallel-plate gripper, and semantic segmentation. |
Stefan Ainetter; Friedrich Fraundorfer; | arxiv-cs.CV | 2021-07-12 |
| 451 | Segmentation of VHR EO Images Using Unsupervised Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle these challenges, in this paper we propose an unsupervised semantic segmentation method that can be trained using just a single unlabeled scene. |
Sudipan Saha; Lichao Mou; Muhammad Shahzad; Xiao Xiang Zhu; | arxiv-cs.CV | 2021-07-09 |
| 452 | Object Segmentation Without Labels with Large-Scale Generative Models Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work demonstrates that large-scale unsupervised models can also perform a more challenging object segmentation task, requiring neither pixel-level nor image-level labeling. |
Andrey Voynov; Stanislav Morozov; Artem Babenko; | icml | 2021-07-08 |
| 453 | Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Addressing this problem, we propose a superpoint-guided semi-supervised segmentation network for 3D point clouds, which jointly utilizes a small portion of labeled scene point clouds and a large number of unlabeled point clouds for network training. |
Shuang Deng; Qiulei Dong; Bo Liu; Zhanyi Hu; | arxiv-cs.CV | 2021-07-08 |
| 454 | WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose an effective weakly-supervised video semantic segmentation pipeline with click annotations, called WeClick, for saving laborious annotating effort by segmenting an instance of the semantic class with only a single click. |
PEIDONG LIU et. al. | arxiv-cs.CV | 2021-07-07 |
| 455 | Hierarchical Semantic Segmentation Using Psychometric Learning Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we develop a novel approach to collect segmentation annotations from experts based on psychometric testing. |
Lu Yin; Vlado Menkovski; Shiwei Liu; Mykola Pechenizkiy; | arxiv-cs.CV | 2021-07-07 |
| 456 | Semantic Segmentation Alternative Technique: Segmentation Domain Generation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this project we propose an alternative semantic segmentation technique making use of Generative Adversarial Networks. |
Ana-Cristina Rogoz; Radu Muntean; Stefan Cobeli; | arxiv-cs.CV | 2021-07-06 |
| 457 | VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: A unified neural network structure is presented for joint 3D object detection and point cloud segmentation in this paper. |
Yuanxin Zhong; Minghan Zhu; Huei Peng; | arxiv-cs.CV | 2021-07-06 |
| 458 | Are Standard Object Segmentation Models Sufficient for Learning Affordance Segmentation? Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We observe that theoretically, these popular object segmentation methods should be sufficient for detecting affordances masks. |
Hugo Caselles-Dupré; Michael Garcia-Ortiz; David Filliat; | arxiv-cs.LG | 2021-07-05 |
| 459 | Unsupervised Image Segmentation By Mutual Information Maximization and Adversarial Regularization Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel fully unsupervised semantic segmentation method, the so-called Information Maximization and Adversarial Regularization Segmentation (InMARS). |
S. Ehsan Mirsadeghi; Ali Royat; Hamid Rezatofighi; | arxiv-cs.CV | 2021-07-01 |
| 460 | MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce MASS – a Multi-Attentional Semantic Segmentation model specifically built for dense top-view understanding of the driving scenes. |
KUNYU PENG et. al. | arxiv-cs.CV | 2021-07-01 |
| 461 | Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel generative adversarial network (namely Mutual-GAN) to alleviate the accuracy decline when daytime-trained neural network is applied to videos captured under adverse weather conditions. |
Jiawei Chen; Yuexiang Li; Kai Ma; Yefeng Zheng; | arxiv-cs.CV | 2021-06-30 |
| 462 | SOLO: A Simple Framework for Instance Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we view the task of instance segmentation from a completely new perspective by introducing the notion of instance categories, which assigns categories to each pixel within an instance according to the instance’s location. |
Xinlong Wang; Rufeng Zhang; Chunhua Shen; Tao Kong; Lei Li; | arxiv-cs.CV | 2021-06-30 |
| 463 | Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a simple yet effective framework to address the domain translation problem between different sensor modalities with unique data formats. |
Tiago Cortinhal; Fatih Kurnaz; Eren Aksoy; | arxiv-cs.CV | 2021-06-26 |
| 464 | FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a general multimodal fusion framework FusionPainting to fuse the 2D RGB image and 3D point clouds at a semantic level for boosting the 3D object detection task. |
SHAOQING XU et. al. | arxiv-cs.CV | 2021-06-23 |
| 465 | Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Bilateral Awareness Network which contains a dependency path and a texture path to fully capture the long-range relationships and fine-grained details in VFR images. |
LIBO WANG et. al. | arxiv-cs.CV | 2021-06-23 |
| 466 | P2T: Pyramid Pooling Transformer for Scene Understanding IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To bridge this gap, we propose to adapt pyramid pooling to Multi-Head Self-Attention (MHSA) in the vision transformer, simultaneously reducing the sequence length and capturing powerful contextual features. |
Yu-Huan Wu; Yun Liu; Xin Zhan; Ming-Ming Cheng; | arxiv-cs.CV | 2021-06-22 |
| 467 | Quality-Aware Memory Network for Interactive Volumetric Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a quality-aware memory network for interactive segmentation of 3D medical images. |
Tianfei Zhou; Liulei Li; Gustav Bredell; Jianwu Li; Ender Konukoglu; | arxiv-cs.CV | 2021-06-20 |
| 468 | Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Therefore, we propose a global style and local matching contrastive learning network (GLCNet) for remote sensing image semantic segmentation. |
HAIFENG LI et. al. | arxiv-cs.CV | 2021-06-19 |
| 469 | Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper explores the potential for performing temporal semantic segmentation in the context of agricultural robotics without temporally labelled data. |
Alireza Ahmadi; Michael Halstead; Chris McCool; | arxiv-cs.CV | 2021-06-18 |
| 470 | Towards Single Stage Weakly Supervised Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: The costly process of obtaining semantic segmentation labels has driven research towards weakly supervised semantic segmentation (WSSS) methods, using only image-level, point, or box labels. |
Peri Akiva; Kristin Dana; | arxiv-cs.CV | 2021-06-18 |
| 471 | Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we present a novel semi-supervised 2D medical segmentation solution that applies CL on image patches, instead of full images. |
PRASHANT PANDEY et. al. | arxiv-cs.CV | 2021-06-12 |
| 472 | CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, this paper proposes to utilize different aggregation strategies between the same category and different categories. |
Tao Lu; Limin Wang; Gangshan Wu; | cvpr | 2021-06-11 |
| 473 | Rethinking Semantic Segmentation From A Sequence-to-Sequence Perspective With Transformers IF:6 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we aim to provide an alternative perspective by treating semantic segmentation as a sequence-to-sequence prediction task. |
SIXIAO ZHENG et. al. | cvpr | 2021-06-11 |
| 474 | Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose an efficient jointly thing-and-stuff mining (JTSM) framework for WSPS. |
YUNHANG SHEN et. al. | cvpr | 2021-06-11 |
| 475 | 3D Spatial Recognition Without Spatially Labeled 3D Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce WyPR, a Weakly-supervised framework for Point cloud Recognition, requiring only scene-level class tags as supervision. |
Zhongzheng Ren; Ishan Misra; Alexander G. Schwing; Rohit Girdhar; | cvpr | 2021-06-11 |
| 476 | Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the semi-supervised semantic segmentation problem via exploring both labeled data and extra unlabeled data. |
Xiaokang Chen; Yuhui Yuan; Gang Zeng; Jingdong Wang; | cvpr | 2021-06-11 |
| 477 | Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To explore more comprehensive class-specific activation maps, we propose an Embedded Discriminative Attention Mechanism (EDAM) by integrating the activation map generation into the classification network directly for WSSS. |
TONG WU et. al. | cvpr | 2021-06-11 |
| 478 | VS-Net: Voting With Segmentation for Visual Localization Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this problem, we propose a novel visual localization framework that establishes 2D-to-3D correspondences between the query image and the 3D map with a series of learnable scene-specific landmarks. |
ZHAOYANG HUANG et. al. | cvpr | 2021-06-11 |
| 479 | Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore data-efficient learning for 3D point cloud. |
Ji Hou; Benjamin Graham; Matthias Niessner; Saining Xie; | cvpr | 2021-06-11 |
| 480 | PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new framework for semantic segmentation without annotations via clustering. |
Jang Hyun Cho; Utkarsh Mall; Kavita Bala; Bharath Hariharan; | cvpr | 2021-06-11 |
| 481 | Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this, we introduce a novel approach for more accurate and efficient spatio-temporal segmentation. |
Tianfei Zhou; Jianwu Li; Xueyi Li; Ling Shao; | cvpr | 2021-06-11 |
| 482 | Pixel-Wise Anomaly Detection in Complex Driving Scenes IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: Recent approaches have focused on either leveraging segmentation uncertainty to identify anomalous areas or re-synthesizing the image from the semantic label map to find dissimilarities with the input image. In this work, we demonstrate that these two methodologies contain complementary information and can be combined to produce robust predictions for anomaly segmentation. |
Giancarlo Di Biase; Hermann Blum; Roland Siegwart; Cesar Cadena; | cvpr | 2021-06-11 |
| 483 | Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a fast and robust LiDAR point cloud panoptic segmentation framework, referred to as Panoptic-PolarNet. |
Zixiang Zhou; Yang Zhang; Hassan Foroosh; | cvpr | 2021-06-11 |
| 484 | Taskology: Utilizing Task Relations at Scale Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We show that we can leverage the inherent relationships among collections of tasks, as they are trained jointly, supervising each other through their known relationships via consistency losses. |
YAO LU et. al. | cvpr | 2021-06-11 |
| 485 | Locate Then Segment: A Strong Pipeline for Referring Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To tackle these problems, we view this task from another perspective by decoupling it into a locate-then-segment (LTS) scheme. |
YA JING et. al. | cvpr | 2021-06-11 |
| 486 | (AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To alleviate this problem, we propose AF2-S3Net, an end-to-end encoder-decoder CNN network for 3D LiDAR semantic segmentation. |
Ran Cheng; Ryan Razani; Ehsan Taghavi; Enxu Li; Bingbing Liu; | cvpr | 2021-06-11 |
| 487 | Rethinking BiSeNet for Real-Time Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To handle these problems, we propose a novel and efficient structure named Short-Term Dense Concatenate network (STDC network) by removing structure redundancy. |
MINGYUAN FAN et. al. | cvpr | 2021-06-11 |
| 488 | Learning Statistical Texture for Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we fully take advantages of the low-level texture features and propose a novel Statistical Texture Learning Network (STLNet) for semantic segmentation. |
LANYUN ZHU et. al. | cvpr | 2021-06-11 |
| 489 | PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To handle these problems, we propose a point-wise affinity propagation module based on the FPN framework, named PointFlow. |
XIANGTAI LI et. al. | cvpr | 2021-06-11 |
| 490 | Self-Guided and Cross-Guided Learning for Few-Shot Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a simple but effective self-guided learning approach, where the lost critical information is mined. |
Bingfeng Zhang; Jimin Xiao; Terry Qin; | cvpr | 2021-06-11 |
| 491 | DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel domain adaptation network (DANNet) for nighttime semantic segmentation without using labeled nighttime image data. |
Xinyi Wu; Zhenyao Wu; Hao Guo; Lili Ju; Song Wang; | cvpr | 2021-06-11 |
| 492 | HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a novel, real-time, semantic segmentation network in which the encoder both encodes and generates the parameters (weights) of the decoder. |
Yuval Nirkin; Lior Wolf; Tal Hassner; | cvpr | 2021-06-11 |
| 493 | VSPW: A Large-scale Dataset for Video Scene Parsing in The Wild IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a new dataset with the target of advancing the scene parsing task from images to videos. |
JIAXU MIAO et. al. | cvpr | 2021-06-11 |
| 494 | Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel UDA pipeline that unifies image-level alignment and category-level feature distribution regularization in a coarse-to-fine manner. |
Haoyu Ma; Xiangru Lin; Zifeng Wu; Yizhou Yu; | cvpr | 2021-06-11 |
| 495 | ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address such an issue, we propose, for the first time, the strategy of bridging-then-fusing, where the innovation lies in a novel Adaptive-weighted Bi-directional Modality Difference Reduction Network (ABMDRNet). |
QIANG ZHANG et. al. | cvpr | 2021-06-11 |
| 496 | Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a non-salient region object mining approach for weakly supervised semantic segmentation. |
YAZHOU YAO et. al. | cvpr | 2021-06-11 |
| 497 | Learning Calibrated Medical Image Segmentation Via Multi-Rater Agreement Modeling IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address this issue, we propose to explicitly model the multi-rater (dis-)agreement, dubbed MRNet, which has two main contributions. |
WEI JI et. al. | cvpr | 2021-06-11 |
| 498 | Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: To implement this idea, we propose a novel pooling method, dubbed background-aware pooling (BAP), that focuses more on aggregating foreground features inside the bounding boxes using attention maps. |
Youngmin Oh; Beomjun Kim; Bumsub Ham; | cvpr | 2021-06-11 |
| 499 | Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation IF:3 Literature Review Related Patents Related Grants Related Orgs Related Experts Details Highlight: This manipulation is realized in an anti-adversarial manner, which perturbs the original images along pixel gradients in the opposite direction from those used in an adversarial attack. |
Jungbeom Lee; Eunji Kim; Sungroh Yoon; | cvpr | 2021-06-11 |
| 500 | Cross-View Regularization for Domain Adaptive Panoptic Segmentation IF:3 Literature Review Related Patents |