VOS-Paper-List
VOS-Paper-List copied to clipboard
Semi-Supervised Video Object Segmentation(VOS) Paper List
Semi-Supervised Video Object Segmentation(VOS) Paper List
2020
| Publication | Method | Title | Authors | Affiliation | Links |
|---|---|---|---|---|---|
| NIPS 2020 | AFB_URR | Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement | Yongqing Liang et.al | Louisiana State University | [paper] [code] |
| ECCV 2020 | URVOS | URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark | Seonguk Seo, , Joon-Young Lee ,Bohyung Han | Seoul National University, Adobe Research | paper |
| ECCV 2020 | what to learn | Learning What to Learn for Video Object Segmentation | Goutam Bhat, et al. | ETH Z¨urich, Link¨oping University | arxiv |
| ECCV 2020 | GraphMemVOS | Video Object Segmentation with Episodic Graph Memory Networks | Xiankai Lu1, BWenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool | Inception Institute of Artificial Intelligence, ETH Zurich | [arXiv] [code] |
| ECCV 2020 | CFBI | Collaborative Video Object Segmentation by Foreground-Background Integration | Zongxin Yang, Yunchao Wei, Yi Yang | Baidu Research | [arXiv] [code] |
| ECCV 2020 | KMN | Kernelized Memory Network for Video Object Segmentation | Hongje Seong, Junhyuk Hyun, Euntai Kim | Yonsei University | [arXiv] |
| ECCV 2020 | GC | Fast Video Object Segmentation using the Global Context Module | Yu Li, Zhuoran Shen, Ying Shan | Tencent PCG, The University of Hong Kong | [arXiv] |
| ICIP 2020 | CRVOS | CRVOS: CLUE REFINING NETWORK FOR VIDEO OBJECT SEGMENTATION | Suhwan Cho, MyeongAh Cho, Tae-young Chung, Heansung Lee, Sangyoun Lee | Yonsei University | [arXiv] [code] |
| CVPR 2020 | TAN-DTTM | Fast Video Object Segmentation with Temporal Aggregation Network and Dynamic Template Matching | Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang | The Hong Kong University of Science and Technology, Tencent | [paper] [code] |
| CVPR 2020 | TVOS | A Transductive Approach for Video Object Segmentation | Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin | Microsoft Research Asia, Carnegie Mellon University | [paper] [code] |
| CVPR 2020 | FRTM | Learning Fast and Robust Target Models for Video Object Segmentation | Andreas Robinson, Felix Jaremo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg | Linkoping University, ETH Zurich, IIAI | [paper] [code] |
| CVPR 2020 | SAT | State-Aware Tracker for Real-Time Video Object Segmentation | Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi | Zhejiang University, Megvii Inc. | [paper] [code] |
| CVPR 2020 | FTMU | Fast Template Matching and Update for Video Object Tracking and Segmentation | Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao | XJTLU, University of Liverpool, Beijing Jiaotong University | [paper] [code] |
| WACV 2020 | DIPNet | DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation | Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff | Boston University, Singapore University of Technology and Design, Alibaba Group | [paper] |
| IJCAI 2020 | E3SN | E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation | Meng Lan , Yipeng Zhang , Qinning Xu, Lefei Zhang | Wuhan University | [paper] |
2019
| Method | Title | Authors | Affiliation | Pub. | Links |
|---|---|---|---|---|---|
| AGSS-VOS | AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation | Huaijia Lin,Xiaojuan Qi,Jiaya Jia | CUHK,University of Oxford,YoutTu Lab | ICCV 2019 | paper |
| DMM-Net | Differentiable Mask-Matching Network for Video Object Segmentation | Xiaohui Zeng,Renjie Liao,Li Gu,Yuwen Xiong,Sanja Fidler,Raquel Urtasun | University of Toronto,NVIDIA | ICCV 2019 | paper pytorch |
| RANet | RANet: Ranking Attention Network for Fast Video Object Segmentation | Ziqin Wang, Jun Xu, Li Liu, Fan Zhu,Ling Shao | The University of Sydney, IIAI, Xi’an Jiaotong University, Nankai University | ICCV2019 | paper github |
| CapsuleVOS | CapsuleVOS:Semi-Supervised Video Object Segmentation Using Capsule Routing | Kevin Duarte,Yogesh S Rawat,Mubarak Shah | University of Central Florida | ICCV 2019 | paper TensorFlow |
| OSVOS-VL | In defense of OSVOS | Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid | The University of Adelaide | arXiv 8.20 | paper |
| MTN | Fast Video Object Segmentation via Mask Transfer Network | Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli | NUS, Shandong AI Institute | arXiv 8.28 | paper |
| PTSNet | Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation | Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Chang Huang, Wenyu Liu, Xinggang Wang | HUST, Horizon Robotics | arXiv 7.4 | paper pytorch |
| DOS | Discriminative Online Learning for Fast Video Object Segmentation | Andreas Robinson, Felix Jaremo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg | Linkoping University, ETH Zurich, Switzerland | arXiv 4.18 | paper |
| BoLTVOS*** | BoLTVOS: Box-Level Tracking for Video Object Segmentation | Paul Voigtlaender, Jonathon Luiten, Bastian Leibe | RWTH Aachen | arXiv 2019.4.9 | paper |
| Patchwork | Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams | Yuning Chai | Google Inc | ICCV 2019 | paper |
| STM** | Video Object Segmentation using Space-Time Memory Networks | Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim | Yonsei University | ICCV 2019 | paper pytorch |
| MLDVW | Meta Learning Deep Visual Words for Fast Video Object Segmentation | Harkirat Singh Behl, Mohammad Najafi, Philip H.S. Torr | University of Oxford | arXiv 2018.12 | paper |
| ST GANs*** | Fast video object segmentation with Spatio-Temporal GANs | S. Caelles, A. Pumarola, F. Moreno-Noguer, A. Sanfeliu, L. Van Gool | ETH Zurich | arXiv 2019.3.28 | paper |
| GAM* | A Generative Appearance Model for End-to-end Video Object Segmentation | Joakim Johnander, Emil Brissman, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg | Linkoping University | CVPR 2019 | paper github |
| BubbleNets | BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames | Brent A. Griffin, Jason J. Corso | University of Michigan | CVPR 2019 | paper github |
| MHP-VOS*** | MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation | Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou | Hust, Tencent AI Lab | CVPR 2019 | paper |
| FEELVOS | FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation | Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen | RWTH Aachen, Google Inc | CVPR 2019 | paper github blog |
| RVOS | RVOS: End-to-End Recurrent Network for Video Object Segmentation | Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto | UOC, UPC, Barcelona Supercomputing Center | CVPR 2019 | paper github |
| STCNN** | Spatiotemporal CNN for Video Object Segmentation | Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang | CAS | CVPR 2019 | paper github |
| SiamMask | Fast Online Object Tracking and Segmentation: A Unifying Approach | Qiang Wang, Li Zhang, Luca Bertinetto | CASIA, University of Oxford | CVPR 2019 | paper github |
| MOTS | MOTS: Multi-Object Tracking and Segmentation | Paul Voigtlaender, Michael Krause, Aljosa O ˘ sep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe | RWTH Aachen University, MPI | CVPR_2019 | paper github |
| TIS | Tukey-Inspired Video Object Segmentation | Brent A. Griffin, Jason J. Corso | University of Michigan | WACV 2019 | paper github |
2018
| Method | Title | Authors | Affiliation | Pub. | Links |
|---|---|---|---|---|---|
| MVOS-OL | Online Meta Adaptation for Fast Video Object Segmentation | Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng | NUDT, NUS | TPAMI 2018 | paper github |
| DyeNet | video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation | Xiaoxiao Li, Chen Change Loy | CUHK, NTU | ECCV 2018 | project page |
| VideoMatch | VideoMatch: Matching based Video Object Segmentation | Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing | UIUC | ECCV 2018 | paper |
| VOSLSE | Video Object Segmentation by Learning Location-Sensitive Embeddings | Hai Ci, Chunyu Wang, Yizhou Wang | Peking University, MSRA | ECCV 2018 | paper |
| GRFP | Semantic Video Segmentation by Gated Recurrent Flow Propagation | David Nilsson, Cristian Sminchisescu | Lund University | CVPR 2018 | paper github |
| DVSN | Dynamic Video Segmentation Network | Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee | National Tsing Hua Uiversity | CVPR 2018 | paper github |
| Low-Latency | Low-Latency Video Semantic Segmentation | Yule Li, Jianping Shi, Dahua Lin | CAS, SenseTime, CUHK | CVPR 2018 | paper |
| CNN in MRF | CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF | Linchao Bao, Baoyuan Wu, Wei Liu | Tencent AI Lab | CVPR 2018 | paper |
| GCRF | Deep Spatio-Temporal Random Fields for Efficient Video Segmentation | Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos | INRIA GALEN, Facebook | CVPR 2018 | paper |
| RGMP | Fast Video Object Segmentation by Reference-Guided Mask Propagation | Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim | Yonsei University | CVPR 2018 | github |
| MoNet | MoNet: Deep Motion Exploitation for Video Object Segmentation | Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang | NUDT, NTU | CVPR 2018 | paper |
| Motion-Guided-CRN | Motion-Guided Cascaded Refinement Network for Video Object Segmentation | Ping Hu, Gang Wang, Xiangfei Kong , Jason Kuen, Yap-Peng Tan | NTU, Alibaba | CVPR 2018 | github |
| FAVOS | Fast and Accurate Online Video Object Segmentation via Tracking Parts | Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang | Tsinghua University, UC Merced | CVPR 2018 | github |
| OSMN | Efficient Video Object Segmentation via Network Modulation | Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos | Snap, Google | CVPR 2018 | github |
| PML | Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning | Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool | ETH Zurich | CVPR 2018 | github pytorch |
| Actor Action | Actor and Action Video Segmentation from a Sentence | Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, Cees G. M. Snoek | University of Amsterdam | CVPR 2018 | project page |
2017
| Method | Title | Authors | Affiliation | Pub. | Links |
|---|---|---|---|---|---|
| LucidDream | Lucid Data Dreaming for Video Object Segmentation | Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele | MPI, Google | IJCV 2019 | paper github |
| FGFA | Flow-guided feature aggregation for video object detection | Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei | USTC, MSRA | ICCV 2017 | paper github |
| MaskRNN | MaskRNN: Instance Level Video ObjectSegmentation | Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing | UIUC | NIPS 2017 | project page |
| SegFlow | SegFlow: Joint Learning for Video Object Segmentation and Optical Flow | Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang | Tsinghua University, UC Merced | ICCV 2017 | github |
| PLM | Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks | Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon | UMN, KAIST | ICCV 2017 | project page |
| VMNet | Learning Video Object Segmentation with Visual Memory | Pavel Tokmakov, Karteek Alahari, Cordelia Schmid | Inria | ICCV 2017 | paper |
| OSVOS* | One-Shot Video Object Segmentation | Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool | ETH Zurich | CVPR 2017 | project page |
| MaskTrack | Learning Video Object Segmentation from Static Images | Anna Khoreva, Federico Perazzi, Rodrigo Benenson, Bernt Schiele, Alexander Sorkine-Hornung | Disney Research, ETH Zurich, MPI | CVPR 2017 | project page code |
| MPNet | Learning Motion Patterns in Videos | Pavel Tokmakov, Karteek Alahari, Cordelia Schmid | Inria | CVPR 2017 | project page |
| FusionSeg | FusionSeg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos | Suyog Dutt Jain, Bo Xiong, Kristen Grauman | University of Texas at Austin | CVPR 2017 | project page |
| VPN | Video Propagation Networks | Varun Jampani, Raghudeep Gadde, Peter V. Gehler | MPI | CVPR 2017 | project page |
2016
| Method | Title | Authors | Affiliation | Pub. | Links |
|---|---|---|---|---|---|
| VSOF | Video Segmentation via Object Flow | Yi-Hsuan Tsai, Ming-Hsuan Yang, Michael J. Black | UC Merced | CVPR 2016 | github |
| BVS | Bilateral Space Video Segmentation | Nicolas Marki, Federico Perazzi, Oliver Wang, Alexander Sorkine-Hornung | ETH Zurich, Disney Research | CVPR 2016 | project page |