Multi-scale Edge Detection
Multi-Scale Edge Detection is a computational framework in image processing that identifies intensity variations across multiple spatial resolutions to enhance edge localization and robustness by distinguishing genuine edges from noise through scale-space analysis.
136
Publications
16.3K
Citations
374
Authors
189
Institutions
Publications per year
2017–2026
32
Parents
136
Holistically-Nested Edge Detection
Saining Xie, Zhuowen Tu · 2015 · 3.1K citations
Richer Convolutional Features for Edge Detection
Yun Liu, Ming‐Ming Cheng, Xiaowei Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 780 citations · Full text
Richer Convolutional Features for Edge Detection
Yun Liu, Ming‐Ming Cheng, Xiaowei Hu et al. · 2017 · 768 citations
Holistically-Nested Edge Detection
Saining Xie, Zhuowen Tu · International Journal of Computer Vision · 2017 · 727 citations
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189

Chinese Academy of Sciences
Beijing, China
5 h-index
13 publications
279 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
177 citations

Beijing University of Technology
Beijing, China
3 h-index
6 publications
103 citations
Horizon Robotics (China)
Beijing, China
3 h-index
5 publications
715 citations

Peking University
Beijing, China
3 h-index
9 publications
1.6K citations
Smith-Kettlewell Eye Research Institute
San Francisco, United States
3 h-index
8 publications
1.1K citations

Northeastern University
Shenyang, China
3 h-index
12 publications
163 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
7 publications
357 citations
1–8 of 189
5 publications · 206 citations
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5 publications · 258 citations
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TPAMI · 5 publications · 1.6K citations
5
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4 publications · 53 citations
4
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3 publications · 758 citations
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