Real-time Segmentation
Real-Time Segmentation is a methodological framework within signal and data processing that enables the continuous and immediate partitioning of incoming data streams into structurally or functionally distinct segments with minimal latency, ensuring temporal alignment between analysis and acquisition.
495
Publications
35.6K
Citations
1.9K
Authors
623
Institutions
Publications per year
2017–2026
316
495
Adaptive background mixture models for real-time tracking
Chris Stauffer, W. Eric L. Grimson · 2003 · 6.9K citations
Real-time foreground–background segmentation using codebook model
Kyungnam Kim, Thanarat H. Chalidabhongse, David Harwood et al. · Real-Time Imaging · 2005 · 1.4K citations
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang et al. · 2021 · 742 citations
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
Hanchao Li, Pengfei Xiong, Haoqiang Fan et al. · 2019 · 698 citations
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623

Chinese Academy of Sciences
Beijing, China
13 h-index
32 publications
1.5K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
39 publications
1.6K citations

Zhejiang University
Hangzhou, China
11 h-index
35 publications
1.3K citations
Xiamen University
Xiamen, China
9 h-index
35 publications
2K citations
University of Oxford
Oxford, United Kingdom
8 h-index
14 publications
1.3K citations

Huazhong University of Science and Technology
Wuhan, China
8 h-index
31 publications
2.1K citations

Beijing Institute of Technology
Beijing, China
8 h-index
24 publications
3.1K citations
Nanjing University of Posts and Telecommunications
Nanjing, China
8 h-index
34 publications
4.7K citations
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Repository · 31 publications · 2K citations
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12 publications · 973 citations
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9 publications · 345 citations
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9 publications · 324 citations
8
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8 publications · 191 citations
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