Pixel-wise Classification
Pixel-Wise Classification is a pixel-level semantic labeling task in computer vision that assigns a categorical class label to each individual pixel in an image, distinguishing it from other image-level or region-level interpretation methods by operating at the finest granular spatial resolution.
1.1K
Publications
84.2K
Citations
4.1K
Authors
1.3K
Institutions
Publications per year
2017–2026
607
Parents
1.1K
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han · 2015 · 4K citations
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Institut national de recherche en sciences et technologies du numérique, France
6 publications · 1.6K citations
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Chinese Academy of Sciences
Beijing, China
30 h-index
152 publications
11.5K citations
University of Chinese Academy of Sciences
Beijing, China
20 h-index
62 publications
4.7K citations
Wuhan University
Wuhan, China
16 h-index
63 publications
10K citations

Zhejiang University
Hangzhou, China
14 h-index
49 publications
3.2K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
39 publications
4.2K citations
Institut polytechnique de Grenoble
Grenoble, France
13 h-index
24 publications
8.5K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
12 h-index
41 publications
1.8K citations

Beihang University
Beijing, China
12 h-index
26 publications
701 citations
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74 publications · 3.6K citations
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Repository · 50 publications · 5.5K citations
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38 publications · 6.3K citations
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34 publications · 2.3K citations
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TPAMI · 22 publications · 4.1K citations
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