└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Semi-Supervised Video Object Segmentation(VOS) Paper List 2 | 3 | ___ 4 | ### 2020 5 | 6 | | Publication | Method | Title | Authors | Affiliation | Links | 7 | | :--: | :-----: | :---: | :-----: | :---------: | :---: | 8 | | **NIPS 2020** | **AFB_URR** | Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement | Yongqing Liang et.al | Louisiana State University | [[paper]](http://arxiv.org/abs/2010.07958) [[code]](https://github.com/xmlyqing00/AFB-URR)| 9 | | **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](https://joonyoung-cv.github.io/assets/paper/20_eccv_urvos_unified.pdf)| 10 | | **ECCV 2020** | **what to learn** | Learning What to Learn for Video Object Segmentation | Goutam Bhat, et al.| ETH Z¨urich, Link¨oping University| [arxiv](https://arxiv.org/pdf/2003.11540.pdf) | 11 | | **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]](https://arxiv.org/pdf/2007.07020.pdf) [[code]](https://github.com/carrierlxk/GraphMemVOS) 12 | | **ECCV 2020** | **CFBI** | Collaborative Video Object Segmentation by Foreground-Background Integration | Zongxin Yang, Yunchao Wei, Yi Yang | Baidu Research | [[arXiv]](https://arxiv.org/pdf/2003.08333.pdf) [[code]](https://github.com/z-x-yang/CFBI) 13 | | **ECCV 2020** | **KMN** | Kernelized Memory Network for Video Object Segmentation | Hongje Seong, Junhyuk Hyun, Euntai Kim | Yonsei University | [[arXiv]](https://arxiv.org/pdf/2007.08270.pdf) 14 | | **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]](https://arxiv.org/pdf/2001.11243.pdf) 15 | | **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]](https://arxiv.org/pdf/2002.03651.pdf) [[code]](https://github.com/suhwan-cho/CRVOS) 16 | | **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]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Huang_Fast_Video_Object_Segmentation_With_Temporal_Aggregation_Network_and_Dynamic_CVPR_2020_paper.pdf) [[code]](https://xuhuaking.github.io/Fast-VOS-DTTM-TAN/) 17 | | **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]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_A_Transductive_Approach_for_Video_Object_Segmentation_CVPR_2020_paper.pdf) [[code]](https://github.com/microsoft/transductive-vos.pytorch) 18 | | **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]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Robinson_Learning_Fast_and_Robust_Target_Models_for_Video_Object_Segmentation_CVPR_2020_paper.pdf) [[code]](https://github.com/andr345/frtm-vos) 19 | | **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]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_State-Aware_Tracker_for_Real-Time_Video_Object_Segmentation_CVPR_2020_paper.pdf) [[code]](https://github.com/MegviiDetection/video_analyst) 20 | | **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]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Sun_Fast_Template_Matching_and_Update_for_Video_Object_Tracking_and_CVPR_2020_paper.pdf) [[code]](https://github.com/insomnia94/FTMU) 21 | | **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]](https://openaccess.thecvf.com/content_WACV_2020/papers/Hu_DIPNet_Dynamic_Identity_Propagation_Network_for_Video_Object_Segmentation_WACV_2020_paper.pdf) 22 | | **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]](https://www.ijcai.org/Proceedings/2020/0098.pdf) 23 | 24 | ### 2019 25 | |Method |Title |Authors |Affiliation |Pub. |Links| 26 | |-----|:--------:|:-----:|:-----:|:----:|:---:| 27 | |__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`](http://jiaya.me/papers/agss_iccv19.pdf)| 28 | |__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`](https://arxiv.org/pdf/1909.12471v1.pdf) [`pytorch`](https://github.com/ZENGXH/DMM_Net)| 29 | |__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`](https://arxiv.org/pdf/1908.06647v3.pdf) [`github`](https://github.com/Storife/RANet)| 30 | |__CapsuleVOS__|CapsuleVOS:Semi-Supervised Video Object Segmentation Using Capsule Routing|Kevin Duarte,Yogesh S Rawat,Mubarak Shah|University of Central Florida|__ICCV 2019__|[`paper`](https://www.crcv.ucf.edu/wpcontent/uploads/2019/08/Publications_CapsuleVOS.pdf) [`TensorFlow`](https://github.com/KevinDuarte/CapsuleVOS)| 31 | |__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`](https://arxiv.org/pdf/1908.06692v2.pdf) 32 | |__MTN__|Fast Video Object Segmentation via Mask Transfer Network|Tao Zhuo, Zhiyong Cheng, Mohan Kankanhalli|NUS, Shandong AI Institute|__arXiv 8.28__|[`paper`](https://arxiv.org/pdf/1908.10717v1.pdf)| 33 | |__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`](https://arxiv.org/pdf/1907.01203.pdf) [`pytorch`](https://github.com/sydney0zq/PTSNet)| 34 | |__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`](https://arxiv.org/pdf/1904.08630.pdf)| 35 | |__BoLTVOS***__|BoLTVOS: Box-Level Tracking for Video Object Segmentation|Paul Voigtlaender, Jonathon Luiten, Bastian Leibe|RWTH Aachen|__arXiv 2019.4.9__|[`paper`](https://arxiv.org/pdf/1904.04552v1.pdf)| 36 | |__Patchwork__|Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams|Yuning Chai|Google Inc|__ICCV 2019__|[`paper`](https://arxiv.org/pdf/1904.01784v1.pdf)| 37 | |__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`](https://arxiv.org/pdf/1904.00607.pdf) [`pytorch`](https://github.com/seoungwugoh/STM)| 38 | |__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`](https://arxiv.org/pdf/1812.01397.pdf)| 39 | |__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`](https://arxiv.org/pdf/1903.12161.pdf)| 40 | |__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`](https://arxiv.org/pdf/1811.11611.pdf) [`github`](https://github.com/joakimjohnander/agame-vos)| 41 | |__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`](https://arxiv.org/pdf/1903.11779v1.pdf) [`github`](https://github.com/griffbr/BubbleNets)| 42 | |__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`](https://arxiv.org/pdf/1904.08141.pdf)| 43 | |__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`](https://arxiv.org/pdf/1902.09513.pdf) [`github`](https://github.com/tensorflow/models/tree/master/research/feelvos) [`blog`](https://blog.csdn.net/qq_34914551/article/details/88596860)| 44 | |__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`](https://arxiv.org/pdf/1903.05612v1.pdf) [`github`](https://github.com/imatge-upc/rvos)| 45 | |__STCNN**__|Spatiotemporal CNN for Video Object Segmentation|Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang|CAS|__CVPR 2019__|[`paper`](https://arxiv.org/pdf/1904.02363.pdf) [`github`](https://github.com/longyin880815/STCNN)| 46 | |__SiamMask__|Fast Online Object Tracking and Segmentation: A Unifying Approach|Qiang Wang, Li Zhang, Luca Bertinetto|CASIA, University of Oxford|__CVPR 2019__|[`paper`](https://arxiv.org/pdf/1812.05050.pdf) [`github`](https://github.com/foolwood/SiamMask)| 47 | |__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`](https://arxiv.org/pdf/1902.03604.pdf) [`github`](https://github.com/VisualComputingInstitute/mots_tools)| 48 | |__TIS__|Tukey-Inspired Video Object Segmentation|Brent A. Griffin, Jason J. Corso|University of Michigan|__WACV 2019__|[`paper`](https://arxiv.org/pdf/1811.07958.pdf) [`github`](https://github.com/griffbr/TIS)| 49 | 50 | ### 2018 51 | |Method |Title |Authors |Affiliation |Pub. |Links| 52 | |-----|:-----:|:-----:|:-----:|:-----:|:---:| 53 | |__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`](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611188) [`github`](https://github.com/huaxinxiao/MVOS-OL)| 54 | |__DyeNet__|video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation|Xiaoxiao Li, Chen Change Loy|CUHK, NTU|__ECCV 2018__|[`project page`](https://deeplearn.org/arxiv/28892/video-object-segmentation-with-joint-re-identification-and-attention-aware-mask-propagation)| 55 | |__VideoMatch__|VideoMatch: Matching based Video Object Segmentation|Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing|UIUC|__ECCV 2018__|[`paper`](https://arxiv.org/abs/1809.01123v1)| 56 | |__VOSLSE__|Video Object Segmentation by Learning Location-Sensitive Embeddings|Hai Ci, Chunyu Wang, Yizhou Wang|Peking University, MSRA|__ECCV 2018__|[`paper`](http://openaccess.thecvf.com/content_ECCV_2018/html/Hai_Ci_Video_Object_Segmentation_ECCV_2018_paper.html)| 57 | |__GRFP__|Semantic Video Segmentation by Gated Recurrent Flow Propagation|David Nilsson, Cristian Sminchisescu|Lund University|__CVPR 2018__|[`paper`](http://openaccess.thecvf.com/content_cvpr_2018/papers/Nilsson_Semantic_Video_Segmentation_CVPR_2018_paper.pdf) [`github`](https://github.com/D-Nilsson/GRFP)| 58 | |__DVSN__|Dynamic Video Segmentation Network|Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee|National Tsing Hua Uiversity|__CVPR 2018__|[`paper`](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Dynamic_Video_Segmentation_CVPR_2018_paper.pdf) [`github`](https://github.com/XUSean0118/DVSNet)| 59 | |__Low-Latency__|Low-Latency Video Semantic Segmentation|Yule Li, Jianping Shi, Dahua Lin|CAS, SenseTime, CUHK|__CVPR 2018__|[`paper`](https://arxiv.org/abs/1804.00389)| 60 | |__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`](https://arxiv.org/abs/1803.09453)| 61 | |__GCRF__|Deep Spatio-Temporal Random Fields for Efficient Video Segmentation|Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos|INRIA GALEN, Facebook|__CVPR 2018__|[`paper`](https://arxiv.org/abs/1807.03148)| 62 | |__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`](https://github.com/seoungwugoh/RGMP)| 63 | |__MoNet__|MoNet: Deep Motion Exploitation for Video Object Segmentation|Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang|NUDT, NTU|__CVPR 2018__|[`paper`](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xiao_MoNet_Deep_Motion_CVPR_2018_paper.pdf)| 64 | |__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`](https://github.com/feinanshan/Motion-Guided-CRN)| 65 | |__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`](https://github.com/JingchunCheng/FAVOS)| 66 | |__OSMN__|Efficient Video Object Segmentation via Network Modulation|Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos|Snap, Google|__CVPR 2018__|[`github`](https://github.com/linjieyangsc/video_seg)| 67 | |__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`](https://github.com/yuhuayc/fast-vos) [`pytorch`](https://github.com/braindeadpool/bf-vos)| 68 | |__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`](https://kgavrilyuk.github.io/publication/actor_action/)| 69 | 70 | 71 | ### 2017 72 | |Method |Title |Authors |Affiliation |Pub. |Links| 73 | |-----|:-----:|:-----:|:-----:|:-----:|:---:| 74 | |__LucidDream__|Lucid Data Dreaming for Video Object Segmentation|Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele|MPI, Google|__IJCV 2019__|[`paper`](https://link.springer.com/content/pdf/10.1007%2Fs11263-019-01164-6.pdf) [`github`](https://github.com/ankhoreva/LucidDataDreaming)| 75 | |__FGFA__|Flow-guided feature aggregation for video object detection|Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei|USTC, MSRA|__ICCV 2017__|[`paper`](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhu_Flow-guided_Feature_Aggregation_ICCV_2017_paper.pdf) [`github`](https://github.com/msracver/Flow-Guided-Feature-Aggregation)| 76 | |__MaskRNN__|MaskRNN: Instance Level Video ObjectSegmentation|Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing|UIUC|__NIPS 2017__|[`project page`](https://sites.google.com/view/yuantinghu/maskrnn)| 77 | |__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`](https://github.com/JingchunCheng/SegFlow)| 78 | |__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`](https://jsyoon4325.wixsite.com/pix-matching)| 79 | |__VMNet__|Learning Video Object Segmentation with Visual Memory|Pavel Tokmakov, Karteek Alahari, Cordelia Schmid|Inria|__ICCV 2017__|[`paper`](https://arxiv.org/abs/1704.05737)| 80 | |__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`](http://www.vision.ee.ethz.ch/~cvlsegmentation/osvos/)| 81 | |__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`](https://graphics.ethz.ch/~perazzif/masktrack/index.html) [`code`](https://github.com/omkar13/MaskTrack)| 82 | |__MPNet__|Learning Motion Patterns in Videos|Pavel Tokmakov, Karteek Alahari, Cordelia Schmid|Inria|__CVPR 2017__|[`project page`](http://thoth.inrialpes.fr/research/mpnet/)| 83 | |__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`](http://vision.cs.utexas.edu/projects/fusionseg/)| 84 | |__VPN__|Video Propagation Networks|Varun Jampani, Raghudeep Gadde, Peter V. Gehler|MPI|__CVPR 2017__|[`project page`](https://varunjampani.github.io/vpn/)| 85 | 86 | ### 2016 87 | |Method |Title |Authors |Affiliation |Pub. |Links| 88 | |-----|:-----:|:-----:|:-----:|:-----:|:---:| 89 | |__VSOF__|Video Segmentation via Object Flow|Yi-Hsuan Tsai, Ming-Hsuan Yang, Michael J. Black|UC Merced|__CVPR 2016__|[`github`](https://github.com/wasidennis/ObjectFlow)| 90 | |__BVS__|Bilateral Space Video Segmentation|Nicolas Marki, Federico Perazzi, Oliver Wang, Alexander Sorkine-Hornung|ETH Zurich, Disney Research|__CVPR 2016__|[`project page`](https://graphics.ethz.ch/~perazzif/bvs/index.html)| 91 | 92 | #### 93 | #### Please let me know if some papers are missed. 94 | --------------------------------------------------------------------------------