Image Segmentation
Image Segmentation is an image analysis technique that partitions a digital image into a set of non-overlapping, homogeneous regions or objects that are internally coherent and mutually distinct according to specified visual or semantic criteria, thereby yielding a more meaningful representation for subsequent processing or interpretation.
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2M
Citations
65K
Authors
8.2K
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2017–2026
11.7K
28.6K
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, Trevor Darrell · 2015 · 36.9K citations
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 22.1K citations
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University of North Carolina at Chapel Hill, United States
80 publications · 6.5K citations
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37
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8.2K

Chinese Academy of Sciences
Beijing, China
93 h-index
1.5K publications
100.6K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
79 h-index
460 publications
104.4K citations

Centre National de la Recherche Scientifique
Paris, France
77 h-index
1.2K publications
65.8K citations
Harvard University
Cambridge, United States
75 h-index
472 publications
89.6K citations
University of California, Berkeley
Berkeley, United States
71 h-index
279 publications
291K citations
Massachusetts Institute of Technology
Cambridge, United States
71 h-index
344 publications
74.8K citations
University of Oxford
Oxford, United Kingdom
69 h-index
351 publications
95.4K citations
University of Pennsylvania
Philadelphia, United States
67 h-index
548 publications
58.1K citations
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TPAMI · 469 publications · 194.2K citations
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402 publications · 92.9K citations
142
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593 publications · 69.6K citations
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Repository · 854 publications · 78.8K citations
104
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507 publications · 44.2K citations
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