Real-time Semantic Segmentation
Real-Time Semantic Segmentation is a semantic segmentation methodology distinguished by its capability to process and output pixel-level class predictions at a rate sufficient to support interactive or dynamic application demands, typically operating in lockstep with the acquisition frame rate of visual input.
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23.1K
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339
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2017–2026
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Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang et al. · 2021 · 742 citations
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Nanjing University of Posts and Telecommunications
Nanjing, China
8 h-index
34 publications
4.7K citations

Beijing Institute of Technology
Beijing, China
8 h-index
21 publications
1.3K citations
Xiamen University
Xiamen, China
7 h-index
23 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
14 publications
761 citations

Zhejiang University
Hangzhou, China
6 h-index
19 publications
1.2K citations
Tianjin University
Tianjin, China
6 h-index
10 publications
353 citations

Yanshan University
Qinhuangdao, China
6 h-index
28 publications
918 citations

South China University of Technology
Guangzhou, China
6 h-index
12 publications
242 citations
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Repository · 41 publications · 5.2K citations
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12 publications · 2.3K citations
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12 publications · 1.5K citations
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10 publications · 655 citations
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6 publications · 599 citations
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