Deep Edge Detection
Deep Edge Detection is an academic concept referring to a class of computational methods in computer vision that leverage deep neural networks to automatically identify and localize semantic boundaries within images, distinguished from traditional edge detection by its reliance on hierarchical feature learning and end-to-end optimization.
198
Publications
18.3K
Citations
789
Authors
319
Institutions
Publications per year
2017–2026
178
Parents
198
Holistically-Nested Edge Detection
Saining Xie, Zhuowen Tu · 2015 · 3.1K citations
Holistically-Nested Edge Detection
Saining Xie, Zhuowen Tu · International Journal of Computer Vision · 2017 · 727 citations
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319
Wuhan University
Wuhan, China
6 h-index
25 publications
1.6K citations
Tsinghua University
Beijing, China
6 h-index
13 publications
331 citations
Tianjin University
Tianjin, China
5 h-index
11 publications
329 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
5 h-index
20 publications
1.3K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
642 citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
15 publications
433 citations
Dalian University of Technology
Dalian, China
4 h-index
11 publications
488 citations
University of Pennsylvania
Philadelphia, United States
4 h-index
6 publications
1.2K citations
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Repository · 12 publications · 624 citations
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10 publications · 282 citations
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8 publications · 470 citations
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5 publications · 157 citations
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5 publications · 389 citations
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