Saliency Detection
Saliency Detection is a computational method in computer vision that identifies the most visually prominent regions or objects in a scene by differentiating them from the background based on intrinsic features such as contrast, color, motion, or context, within the framework of scene understanding.
3.4K
Publications
286.8K
Citations
8K
Authors
1.6K
Institutions
Publications per year
2017–2026
1.8K
Parents
3.4K
Saliency Detection: A Spectral Residual Approach
Xiaodi Hou, Liqing Zhang · 2007 · 3.4K citations
Global contrast based salient region detection
Ming‐Ming Cheng, Guoxin Zhang, Niloy J. Mitra et al. · 2011 · 3.1K citations
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Dalian University of Technology
Dalian, China
58 h-index
399 publications
66.5K citations

Northwestern Polytechnical University
Xi'an, China
49 h-index
276 publications
29.3K citations

Chinese Academy of Sciences
Beijing, China
47 h-index
328 publications
24.1K citations

Beihang University
Beijing, China
45 h-index
328 publications
18.4K citations
Nanyang Technological University
Singapore, Singapore
45 h-index
194 publications
18.3K citations

Xidian University
Xi'an, China
38 h-index
239 publications
11.3K citations
University of Chinese Academy of Sciences
Beijing, China
38 h-index
138 publications
16.8K citations

Nankai University
Tianjin, China
36 h-index
137 publications
31.7K citations
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207 publications · 25.4K citations
90
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TPAMI · 76 publications · 31.8K citations
54
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101 publications · 6.5K citations
47
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86 publications · 6.5K citations
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Repository · 139 publications · 12.8K citations
42
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