Fetching the paper…
Reading the bibliography…
Referring Video Object Segmentation (RVOS) aims to segment the object referred to by the query sentence throughout the entire video.
Towards understanding action recognition
Hueihan Jhuang, Juergen Gall, Silvia Zuffi, Cordelia Schmid, and Michael J Black · 2013
Earlier work this paper cites.
Can humans fly? action understanding with multiple classes of actors
Chenliang Xu, Shao-Hang Hsieh, Caiming Xiong, and Jason J Corso · 2015
Earlier work this paper cites.
Generation and comprehension of unambiguous object descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L Yuille, and Kevin Murphy · 2016
Earlier work this paper cites.
A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
Earlier work this paper cites.
Modeling context in referring expressions
Licheng Yu, Patrick Poirson, Shan Yang, Alexander C Berg, and Tamara L Berg · 2016
Earlier work this paper cites.
The 2018 davis challenge on video object segmentation
Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, and Jordi Pont-Tuset · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Actor and action video segmentation from a sentence
Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, and Cees GM Snoek · 2018
Earlier work this paper cites.
Video object segmentation with referring expressions
Anna Khoreva, Anna Rohrbach, and Brent Schiele · 2018
Earlier work this paper cites.
Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, and Bernard Ghanem · 2018
Earlier work this paper cites.
Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
Earlier work this paper cites.
Lasot: A high-quality benchmark for large-scale single object tracking
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, and Haibin Ling · 2019
Earlier work this paper cites.
Got-10k: A large high-diversity benchmark for generic object tracking in the wild
Lianghua Huang, Xin Zhao, and Kaiqi Huang · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
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.
Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
Cited alongside, same era.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Cited alongside, same era.
Referring segmentation in images and videos with cross-modal self-attention network
Html: Hybrid temporal-scale multimodal learning framework for referring video object segmentation
Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, and Yu Qiao · 2023
Later among the works it cites.
Lvos: A benchmark for long-term video object segmentation
Lingyi Hong, Wenchao Chen, Zhongying Liu, Wei Zhang, Pinxue Guo, Zhaoyu Chen, and Wenqiang Zhang · 2023
Later among the works it cites.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Later among the works it cites.
Local-global context aware transformer for language-guided video segmentation
Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, and Yi Yang · 2023
Later among the works it cites.
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, et al · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, and Yang Wang · 2021
Cited alongside, same era.
End-to-end referring video object segmentation with multimodal transformers
Adam Botach, Evgenii Zheltonozhskii, and Chaim Baskin · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Vlt: Vision-language transformer and query generation for referring segmentation
Henghui Ding, Chang Liu, Suchen Wang, and Xudong Jiang · 2022
Cited alongside, same era.
Wnet: Audio-guided video object segmentation via wavelet-based cross-modal denoising networks
Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, and Qi Tian · 2022
Cited alongside, same era.
Occluded video instance segmentation: A benchmark
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip HS Torr, and Song Bai · 2022
Cited alongside, same era.
Language as queries for referring video object segmentation
Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, and Ping Luo · 2022
Cited alongside, same era.
Later among the works it cites.
Soc: Semantic-assisted object cluster for referring video object segmentation
Zhuoyan Luo, Yicheng Xiao, Yong Liu, Shuyan Li, Yitong Wang, Yansong Tang, Xiu Li, and Yujiu Yang · 2023
Later among the works it cites.
Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang · 2023
Later among the works it cites.
Spectrum-guided multi-granularity referring video object segmentation
Bo Miao, Mohammed Bennamoun, Yongsheng Gao, and Ajmal Mian · 2023
Later among the works it cites.
Segment anything meets point tracking
Frano Rajič, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, and Fisher Yu · 2023
Later among the works it cites.
Temporal collection and distribution for referring video object segmentation
Jiajin Tang, Ge Zheng, and Sibei Yang · 2023
Later among the works it cites.
Track anything: Segment anything meets videos, 2023
Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, and Feng Zheng · 2023
Later among the works it cites.
Losh: Long-short text joint prediction network for referring video object segmentation
Linfeng Yuan, Miaojing Shi, and Zijie Yue · 2023
Later among the works it cites.
Learning referring video object segmentation from weak annotation
Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, and Yang You · 2023
Later among the works it cites.
Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, and Yong Jae Lee · 2023
Later among the works it cites.