Video Semantic Segmentation is a computer vision task that extends image-level semantic segmentation by assigning class labels to each pixel in a video sequence while explicitly modeling temporal coherence across frames to ensure consistent and accurate delineation of objects over time.
290
Publications
19.6K
Citations
1K
Authors
343
Institutions
Publications per year
2017–2026
194
Parents
Publications
290
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang, Xinggang Wang, Lichao Huang et al. · 2019 · 2.9K citations
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Yi Zhu, Karan Sapra, Fitsum A. Reda et al. · 2019 · 431 citations
1–5 of 290
Authors
1K
- LV
7
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- DS
5
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- SC
5
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- MS
5
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- RK
5
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1–5 of 1K
Institutions
343
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
29 publications
2.8K citations
Nanyang Technological University
Singapore, Singapore
9 h-index
19 publications
543 citations
Zhejiang University
Hangzhou, China
8 h-index
17 publications
645 citations
ETH Zurich
Zurich, Switzerland
8 h-index
20 publications
1.4K citations
Chinese Academy of Sciences
Beijing, China
7 h-index
19 publications
837 citations
Johns Hopkins University
Baltimore, United States
7 h-index
12 publications
655 citations
University of California, Berkeley
Berkeley, United States
6 h-index
10 publications
429 citations
Meta (Israel)
Tel Aviv, Israel
6 h-index
16 publications
1.5K citations
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Venues
- arXiv (Cornell University)
Repository · 32 publications · 1.7K citations
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 9 publications · 1.1K citations
11
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- IEEE Transactions on Image Processing
7 publications · 340 citations
7
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- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 7 publications · 326 citations
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 7 publications · 284 citations
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