MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
暂无分享,去创建一个
[1] Jianping Shi,et al. Improving Video Instance Segmentation via Temporal Pyramid Routing , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] David J. Crandall,et al. A Survey on Deep Learning Technique for Video Segmentation , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Yi Yang,et al. Decoupling Features in Hierarchical Propagation for Video Object Segmentation , 2022, Neural Information Processing Systems.
[4] Chi-Keung Tang,et al. Video Mask Transfiner for High-Quality Video Instance Segmentation , 2022, ECCV.
[5] Thomas E. Huang,et al. Tracking Every Thing in the Wild , 2022, ECCV.
[6] Ho Kei Cheng,et al. XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model , 2022, ECCV.
[7] L. Shao,et al. Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Wenhao Jiang,et al. SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Junshi Huang,et al. Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation , 2022, Computer Vision and Pattern Recognition.
[10] Yunchao Wei,et al. Large-scale Video Panoptic Segmentation in the Wild: A Benchmark , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Zhiwei Xiong,et al. Recurrent Dynamic Embedding for Video Object Segmentation , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Xudong Jiang,et al. Instance-Specific Feature Propagation for Referring Segmentation , 2022, IEEE Transactions on Multimedia.
[13] L. Gool,et al. Coarse-to-Fine Feature Mining for Video Semantic Segmentation , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Xudong Jiang,et al. Deep Interactive Image Matting With Feature Propagation , 2022, IEEE Transactions on Image Processing.
[15] Evgenii Zheltonozhskii,et al. End-to-End Referring Video Object Segmentation with Multimodal Transformers , 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] David J. Crandall,et al. Segmenting Objects From Relational Visual Data , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Si Liu,et al. Cross-Modal Progressive Comprehension for Referring Segmentation , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Philip H. S. Torr,et al. Occluded Video Instance Segmentation: A Benchmark , 2021, International Journal of Computer Vision.
[19] Yang Wang,et al. Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Jun Liu,et al. Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Henghui Ding,et al. Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Xudong Jiang,et al. Vision-Language Transformer and Query Generation for Referring Segmentation , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[23] Roger Zimmermann,et al. Recovering the Unbiased Scene Graphs from the Biased Ones , 2021, ACM Multimedia.
[24] Chi-Keung Tang,et al. Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation , 2021, NeurIPS.
[25] Yi Yang,et al. Associating Objects with Transformers for Video Object Segmentation , 2021, NeurIPS.
[26] Wenguan Wang,et al. Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation , 2021, ArXiv.
[27] Guoqiang Han,et al. Reciprocal Transformations for Unsupervised Video Object Segmentation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Stefano Soatto,et al. DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping* , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] In So Kweon,et al. Learning to Associate Every Segment for Video Panoptic Segmentation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Jiaxu Miao,et al. VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Yongdong Zhang,et al. Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation , 2021, AAAI.
[32] Yeong Jun Koh,et al. Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Rong Jin,et al. Learning Position and Target Consistency for Memory-based Video Object Segmentation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Chi-Keung Tang,et al. Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Shenghua Gao,et al. Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Ho Kei Cheng,et al. Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Parham Aarabi,et al. SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Ganesh Venkatesh,et al. Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Alan Yuille,et al. ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Dongdong Yu,et al. F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation , 2020, AAAI.
[41] Song Bai,et al. Occluded Video Instance Segmentation , 2021, ArXiv.
[42] Sanja Fidler,et al. ScribbleBox: Interactive Annotation Framework for Video Object Segmentation , 2020, ECCV.
[43] Chang-Su Kim,et al. Interactive Video Object Segmentation Using Global and Local Transfer Modules , 2020, ECCV.
[44] Luc Van Gool,et al. Video Object Segmentation with Episodic Graph Memory Networks , 2020, ECCV.
[45] Bin Liu,et al. GSM: Graph Similarity Model for Multi-Object Tracking , 2020, IJCAI.
[46] Alan Yuille,et al. Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion , 2020, International Journal of Computer Vision.
[47] In So Kweon,et al. Video Panoptic Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Chi-Keung Tang,et al. Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Mingjie Sun,et al. Fast Template Matching and Update for Video Object Tracking and Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Stephen Lin,et al. A Transductive Approach for Video Object Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Bo Dai,et al. Self-Supervised Scene De-Occlusion , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Yunchao Wei,et al. Memory Aggregation Networks for Efficient Interactive Video Object Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Laura Leal-Taixé,et al. STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos , 2020, ECCV.
[54] Yunchao Wei,et al. Collaborative Video Object Segmentation by Foreground-Background Integration , 2020, ECCV.
[55] Steven C. H. Hoi,et al. Learning Video Object Segmentation From Unlabeled Videos , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Ling Shao,et al. Motion-Attentive Transition for Zero-Shot Video Object Segmentation , 2020, AAAI.
[57] Gang Yu,et al. State-Aware Tracker for Real-Time Video Object Segmentation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[58] Zhuowen Tu,et al. Learning Instance Occlusion for Panoptic Segmentation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Gang Wang,et al. Feature Boosting Network For 3D Pose Estimation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[60] Bohyung Han,et al. URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark , 2020, ECCV.
[61] Xudong Jiang,et al. PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click , 2020, ECCV.
[62] Ling Shao,et al. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[63] Xiaojuan Qi,et al. AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[64] Cheng Deng,et al. Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[65] Zhe L. Lin,et al. Fast Video Object Segmentation via Dynamic Targeting Network , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[66] Luca Bertinetto,et al. Anchor Diffusion for Unsupervised Video Object Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[67] Mubarak Shah,et al. CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[68] Yizhou Yu,et al. Motion Guided Attention for Video Salient Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[69] Gang Wang,et al. Boundary-Aware Feature Propagation for Scene Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[70] Ling Shao,et al. RANet: Ranking Attention Network for Fast Video Object Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[71] Ling Shao,et al. See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[72] Xudong Jiang,et al. Semantic Correlation Promoted Shape-Variant Context for Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[73] Sanyuan Zhao,et al. Learning Unsupervised Video Object Segmentation Through Visual Attention , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[74] Yuchen Fan,et al. Video Instance Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[75] Luc Van Gool,et al. The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation , 2019, ArXiv.
[76] Yue Cao,et al. Spatial-Temporal Relation Networks for Multi-Object Tracking , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[77] Ning Xu,et al. Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[78] Wei Liu,et al. MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[79] Ning Xu,et al. Video Object Segmentation Using Space-Time Memory Networks , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[80] Miriam Bellver,et al. RVOS: End-To-End Recurrent Network for Video Object Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[81] Gang Wang,et al. Toward Achieving Robust Low-Level and High-Level Scene Parsing , 2019, IEEE Transactions on Image Processing.
[82] Bastian Leibe,et al. FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[83] Qiang Wang,et al. Fast Online Object Tracking and Segmentation: A Unifying Approach , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[84] Hua Yang,et al. Online Multi-Object Tracking with Dual Matching Attention Networks , 2018, ECCV.
[85] Ning Xu,et al. YouTube-VOS: Sequence-to-Sequence Video Object Segmentation , 2018, ECCV.
[86] Shifeng Zhang,et al. Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd , 2018, ECCV.
[87] Guosheng Lin,et al. MoNet: Deep Motion Exploitation for Video Object Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[88] Kalyan Sunkavalli,et al. Fast Video Object Segmentation by Reference-Guided Mask Propagation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[89] Gang Wang,et al. Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[90] Gang Wang,et al. Motion-Guided Cascaded Refinement Network for Video Object Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[91] Yuan Xie,et al. Flow Guided Recurrent Neural Encoder for Video Salient Object Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[92] Xiaojun Chang,et al. Reinforcement Cutting-Agent Learning for Video Object Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[93] Ming-Hsuan Yang,et al. Fast and Accurate Online Video Object Segmentation via Tracking Parts , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[94] Luc Van Gool,et al. Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[95] Karteek Alahari,et al. Learning to Segment Moving Objects , 2017, International Journal of Computer Vision.
[96] Yuning Jiang,et al. Repulsion Loss: Detecting Pedestrians in a Crowd , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[97] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[98] Ming-Hsuan Yang,et al. SegFlow: Joint Learning for Video Object Segmentation and Optical Flow , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[99] Jun-Sik Kim,et al. Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[100] Nenghai Yu,et al. Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[101] Chang-Su Kim,et al. Online Video Object Segmentation via Convolutional Trident Network , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[102] Karteek Alahari,et al. Learning Video Object Segmentation with Visual Memory , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[103] Luc Van Gool,et al. The 2017 DAVIS Challenge on Video Object Segmentation , 2017, ArXiv.
[104] Kristen Grauman,et al. FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[105] Peter V. Gehler,et al. Video Propagation Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[106] Bernt Schiele,et al. Learning Video Object Segmentation from Static Images , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[107] Luc Van Gool,et al. One-Shot Video Object Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[108] Luc Van Gool,et al. A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[109] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[110] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[111] Dani Lischinski,et al. JumpCut , 2015, ACM Trans. Graph..
[112] Jitendra Malik,et al. Learning to segment moving objects in videos , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[113] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[114] Jitendra Malik,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence Segmentation of Moving Objects by Long Term Video Analysis , 2022 .
[115] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[116] James M. Rehg,et al. Video Segmentation by Tracking Many Figure-Ground Segments , 2013, 2013 IEEE International Conference on Computer Vision.
[117] Cordelia Schmid,et al. Learning object class detectors from weakly annotated video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[118] Roberto Cipolla,et al. Semantic object classes in video: A high-definition ground truth database , 2009, Pattern Recognit. Lett..
[119] Jitendra Malik,et al. Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.