Video Instance Segmentation
Video Instance Segmentation is a computer vision task that extends image-based instance segmentation by identifying and delineating individual object instances across sequential frames in a video, preserving temporal consistency and distinguishing each instance both spatially and temporally.
115
Publications
10.8K
Citations
441
Authors
145
Institutions
Publications per year
2017–2026
103
Parents
115
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang, Xinggang Wang, Lichao Huang et al. · 2019 · 2.9K citations
Proceedings of the British Machine Vision Conference (BMVC)
Rob Frampton, Andrew Calway · 2013 · 918 citations
End-to-End Video Instance Segmentation with Transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang et al. · 2021 · 639 citations
Linjie Yang, Yuchen Fan, Ning Xu · 2019 · 468 citations
1–5 of 115
441
7
h-index
7
h-index
6
h-index
4
h-index
4
h-index
1–5 of 441
145

Huazhong University of Science and Technology
Wuhan, China
6 h-index
20 publications
11.5K citations
Adobe Systems (United States)
San Jose, United States
5 h-index
6 publications
756 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
9 publications
516 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
4.1K citations
Tianjin University
Tianjin, China
4 h-index
12 publications
513 citations
Shandong University
Jinan, China
4 h-index
13 publications
513 citations
Google (United States)
Mountain View, United States
4 h-index
13 publications
758 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
4 h-index
8 publications
763 citations
1–8 of 145
Repository · 20 publications · 865 citations
14
h-index
Conference · 6 publications · 310 citations
6
h-index
Conference · 5 publications · 338 citations
5
h-index
TPAMI · 4 publications · 613 citations
4
h-index
Conference · 3 publications · 168 citations
3
h-index
1–5