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Referring Video Object Segmentation (R-VOS) is a challenging task that aims to segment an object in a video based on a linguistic expression.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Segmentation from natural language expressions
Ronghang Hu, Marcus Rohrbach, and Trevor Darrell · 2016
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Generation and comprehension of unambiguous object descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L Yuille, and Kevin Murphy · 2016
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Modeling context in referring expressions
Licheng Yu, Patrick Poirson, Shan Yang, Alexander C Berg, and Tamara L Berg · 2016
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, undefinedukasz Kaiser, and Illia Polosukhin · 2017
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Knowledge aided consistency for weakly supervised phrase grounding
Kan Chen, Jiyang Gao, and Ram Nevatia · 2018
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Tvqa: Localized, compositional video question answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara L Berg · 2018
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Referring image segmentation via recurrent refinement networks
Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, and Jiaya Jia · 2018
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Learning a text-video embedding from incomplete and heterogeneous data
Antoine Miech, Ivan Laptev, and Josef Sivic · 2018
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Explore multi-step reasoning in video question answering
Xiaomeng Song, Yucheng Shi, Xin Chen, and Yahong Han · 2018
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Mattnet: Modular attention network for referring expression comprehension
Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, and Tamara L Berg · 2018
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Referring expression object segmentation with caption-aware consistency
Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, and Ming-Hsuan Yang · 2019
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Dice loss for data-imbalanced nlp tasks
Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu, and Jiwei Li · 2019
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Use what you have: Video retrieval using representations from collaborative experts
Yang Liu, Samuel Albanie, Arsha Nagrani, and Andrew Zisserman · 2019
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Progressive multimodal interaction network for referring video object segmentation
Zihan Ding, Tianrui Hui, Shaofei Huang, Si Liu, Xuan Luo, Junshi Huang, and Xiaoming Wei · 2021
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Referring transformer: A one-step approach to multi-task visual grounding
Muchen Li and Leonid Sigal · 2021
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Clawcranenet: Leveraging object-level relation for text-based video segmentation
Chen Liang, Yu Wu, Yawei Luo, and Yi Yang · 2021
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Chen Liang, Yu Wu, Tianfei Zhou, Wenguan Wang, Zongxin Yang, Yunchao Wei, and Yi Yang · 2021
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Cross-modal progressive comprehension for referring segmentation
Si Liu, Tianrui Hui, Shaofei Huang, Yunchao Wei, Bo Li, and Guanbin Li · 2021
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Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Cross-modal self-attention network for referring image segmentation
Linwei Ye, Mrigank Rochan, Zhi Liu, and Yang Wang · 2019
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Dynamic convolution: Attention over convolution kernels
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, and Zicheng Liu · 2020
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Rethinking positional encoding in language pre-training
Guolin Ke, Di He, and Tie-Yan Liu · 2020
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Cascade grouped attention network for referring expression segmentation
Gen Luo, Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Chia-Wen Lin, and Qi Tian · 2020
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Multi-task collaborative network for joint referring expression comprehension and segmentation
Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, and Rongrong Ji · 2020
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Urvos: Unified referring video object segmentation network with a large-scale benchmark
Seonguk Seo, Joon-Young Lee, and Bohyung Han · 2020
Cited alongside, same era.
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End-to-end video instance segmentation with transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2021
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Bottom-up shift and reasoning for referring image segmentation
Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, and Yizhou Yu · 2021
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End-to-end referring video object segmentation with multimodal transformers
Adam Botach, Evgenii Zheltonozhskii, and Chaim Baskin · 2022
Closest in time.
Multi-attention network for compressed video referring object segmentation
Weidong Chen, Dexiang Hong, Yuankai Qi, Zhenjun Han, Shuhui Wang, Laiyun Qing, Qingming Huang, and Guorong Li · 2022
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Language-bridged spatial-temporal interaction for referring video object segmentation
Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, and Si Liu · 2022
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You only infer once: Cross-modal meta-transfer for referring video object segmentation
Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, and Huchuan Lu · 2022
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Video swin transformer
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2022
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Multi-level representation learning with semantic alignment for referring video object segmentation
Dongming Wu, Xingping Dong, Ling Shao, and Jianbing Shen · 2022
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Language as queries for referring video object segmentation
Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, and Ping Luo · 2022
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Lavt: Language-aware vision transformer for referring image segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, and Philip HS Torr · 2022
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