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vos-paper-list's Introduction

Video Object Segmentation Paper List

🌟Please feel free to let me know if some papers are missed.

📌This repository only contains the papers published after 2019. The earlier works can be found at [link].

📌Last modified: 2021/10/07

Semi-supervised VOS

ArXiv 2021

  • SITVOS: Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang "Siamese Network with Interactive Transformer for Video Object Segmentation" [arXiv]

ICCV 2021

  • JOINT: Yunyao Mao, Ning Wang, Wengang Zhou, Houqiang Li "Joint Inductive and Transductive Learning for Video Object Segmentation" [arXiv]
  • HMMN: Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim "Hierarchical Memory Matching Network for Video Object Segmentation" [arXiv]

CVPR 2021

  • RMNet: Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun "Efficient Regional Memory Network for Video Object Segmentation" [Paper] [arXiv]
  • LCM: Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin "Learning Position and Target Consistency for Memory-Based Video Object Segmentation" [Paper] [arXiv]
  • GIEL: Wenbin Ge, Xiankai Lu, Jianbing Shen "Video Object Segmentation Using Global and Instance Embedding Learning" [Paper]
  • SwiftNet: Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai "SwiftNet: Real-time Video Object Segmentation" [Paper] [arXiv]
  • SSTVOS: Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor "SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation" [Paper] [arXiv]
  • Reuse-VOS: Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak "Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation" [Paper] [arXiv]

AAAI 2021

  • STG-Net: Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou "Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation" [arXiv]

WACV 2021

  • TAO-VOS: Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe "Reducing the Annotation Effort for Video Object Segmentation Datasets" [Paper] [arXiv]

NeurIPS 2020

  • STM-cycle: Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin "Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation" [Paper] [arXiv]
  • AFB-URR: Yongqing Liang, Xin Li, Navid Jafari, Jim Chen "Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinementn" [Paper] [arXiv]
  • e-OSVOS: Tim Meinhardt, Laura Leal-Taixé "Make One-Shot Video Object Segmentation Efficient Again" [Paper] [arXiv]

ECCV 2020

  • LWL: Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte "Learning What to Learn for Video Object Segmentation" [Paper] [arXiv]
  • EGMN: Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool "Video Object Segmentation with Episodic Graph Memory Networks" [Paper] [arXiv]
  • CFBI: Zongxin Yang, Yunchao Wei, Yi Yang "Collaborative Video Object Segmentation by Foreground-Background Integration" [Paper] [arXiv]
  • GC: Yu Li, Zhuoran Shen, Ying Shan "Fast Video Object Segmentation using the Global Context Module" [Paper] [arXiv]
  • KMN: Hongje Seong, Junhyuk Hyun, Euntai Kim "Kernelized Memory Network for Video Object Segmentation" [Paper] [arXiv]

CVPR 2020

  • SAT: Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi "State-Aware Tracker for Real-Time Video Object Segmentation" [Paper] [arXiv]
  • FRTM: Andreas Robinson, Felix Jaremo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg "Learning Fast and Robust Target Models for Video Object Segmentation" [Paper] [arXiv]
  • TVOS: Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin "A Transductive Approach for Video Object Segmentation" [Paper] [arXiv]
  • TAN-DTTM: Xuhua Huang, Jiarui Xu, Yu-Wing Tai, Chi-Keung Tang "Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching" [Paper] [arXiv]
  • MuG: Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi "Learning Video Object Segmentation From Unlabeled Videos" [Paper] [arXiv]

WACV 2020

  • DIPNet: Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff "DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation" [Paper]

ICCV 2019

  • DMM-Net: Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun "DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation" [Paper] [arXiv]
  • AGSS-VOS: Huaijia Lin, Xiaojuan Qi, Jiaya Jia "AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation" [Paper]
  • RANet: Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao "RANet: Ranking Attention Network for Fast Video Object Segmentation" [Paper] [arXiv]
  • DTN: Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He "Fast Video Object Segmentation via Dynamic Targeting Network" [Paper]
  • CapsuleVOS: Kevin Duarte, Yogesh S. Rawat, Mubarak Shah "CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing" [Paper] [arXiv]
  • STM: Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim "Video Object Segmentation Using Space-Time Memory Networks" [Paper] [arXiv]

CVPR 2019

  • MHP-VOS: Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou "MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation" [Paper] [arXiv]
  • STCNN: Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang "Spatiotemporal CNN for Video Object Segmentation" [Paper] [arXiv]
  • RVOS: Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto "RVOS: End-To-End Recurrent Network for Video Object Segmentation" [Paper] [arXiv]
  • BubbleNets: Brent A. Griffin, Jason J. Corso "BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames" [Paper] [arXiv]
  • A-GAME: Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg "A Generative Appearance Model for End-To-End Video Object Segmentation" [Paper] [arXiv]
  • FEELVOS: Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen "FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation" [Paper] [arXiv]

WACV 2019

  • TIS: Brent A. Griffin, Jason J. Corso "Tukey-Inspired Video Object Segmentation" [Paper] [arXiv]

Unsupervised VOS

ICCV 2021

  • FSNet: Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao "Full-Duplex Strategy for Video Object Segmentation" [arXiv]

CVPR 2021

  • RTNet: Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, Shengfeng He "Reciprocal Transformations for Unsupervised Video Object Segmentation" [Paper]

AAAI 2021

  • F2Net: Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou "F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation" [arXiv]

WACV 2021

  • SelectorNet: Shubhika Garg, Vidit Goel "Mask Selection and Propagation for Unsupervised Video Object Segmentation" [Paper]

ECCV 2020

  • WCS-Net: Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He "Unsupervised Video Object Segmentation with Joint Hotspot Tracking" [Paper]
  • DFNet: Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan "Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation" [Paper] [arXiv]

WACV 2020

  • UnOVOST: Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe "UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking" [Paper] [arXiv]

ICCV 2019

  • AD-Net: Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr "Anchor Diffusion for Unsupervised Video Object Segmentation" [Paper] [arXiv]
  • AGNN: Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao "Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks" [Paper] [arXiv]

CVPR 2019

  • AGS: Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling "Learning Unsupervised Video Object Segmentation Through Visual Attention" [Paper]
  • COSNet: Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli "See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks" [Paper] [arXiv]

Interactive VOS

CVPR 2021

  • IVOS-W: Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao "Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild" [Paper] [arXiv]
  • GIS: Yuk Heo, Yeong Jun Koh, Chang-Su Kim "Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps" [Paper] [arXiv]
  • MiVOS: Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang "Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion" [Paper] [arXiv]

ECCV 2020

  • ScribbleBox: Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler "ScribbleBox: Interactive Annotation Framework for Video Object Segmentation" [Paper] [arXiv]
  • ATNet: Yuk Heo, Yeong Jun Koh, Chang-Su Kim "Interactive Video Object Segmentation Using Global and Local Transfer Modules" [Paper] [arXiv]

CVPR 2020

  • MA-Net: Jiaxu Miao, Yunchao Wei, Yi Yang "Memory Aggregation Networks for Efficient Interactive Video Object Segmentation" [Paper] [arXiv]

CVPR 2019

  • IPNet: Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim "Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks" [Paper] [arXiv]

Weakly-supervised VOS

AAAI 2021

  • QMRA: Fanchao Lin, Hongtao Xie, Yan Li, Yongdong Zhang "Query-Memory Re-Aggregation for Weakly-Supervised Video Object Segmentation" [Paper]

CVPR 2020

  • FTMU: Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao "Fast Template Matching and Update for Video Object Tracking and Segmentation" [Paper] [arXiv]

CVPR 2019

  • SiamMask: Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr "Fast Online Object Tracking and Segmentation: A Unifying Approach" [Paper] [arXiv]

Referring VOS

ECCV 2020

  • URVOS: Seonguk Seo, Joon-Young Lee, Bohyung Han "URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark" [Paper]

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