Saliency Estimation is a computational method that identifies and localizes visually salient regions in a scene by modeling human attention mechanisms to prioritize image regions most likely to attract fixation.
1.3K
Publications
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Citations
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Publications per year
2017–2026
587
Variants
Visual Saliency Estimation
Parents
Publications
1.3K
Global contrast based salient region detection
Ming‐Ming Cheng, Guoxin Zhang, Niloy J. Mitra et al. · 2011 · 3.1K citations
Saliency filters: Contrast based filtering for salient region detection
Federico Perazzi, Philipp Krähenbühl, Yael Pritch et al. · 2012 · 2.1K citations
Learning to predict where humans look
Tilke Judd, Krista A. Ehinger, Frédo Durand et al. · 2009 · 2K citations · Full text
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- AB
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Institutions
1K
Shanghai Jiao Tong University
Shanghai, China
27 h-index
148 publications
8.8K citations
Chinese Academy of Sciences
Beijing, China
22 h-index
82 publications
4K citations
Peking University
Beijing, China
21 h-index
69 publications
4.8K citations
Beihang University
Beijing, China
20 h-index
71 publications
3.1K citations
Centre National de la Recherche Scientifique
Paris, France
19 h-index
70 publications
2.7K citations
University of Southern California
Los Angeles, United States
18 h-index
38 publications
7.3K citations
Shanghai University
Shanghai, China
17 h-index
63 publications
1.8K citations
Nanyang Technological University
Singapore, Singapore
17 h-index
45 publications
1.5K citations
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Venues
- IEEE Transactions on Image Processing
45 publications · 5.2K citations
33
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 25 publications · 8.7K citations
24
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- Neurocomputing
63 publications · 2.2K citations
23
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- arXiv (Cornell University)
Repository · 37 publications · 1.6K citations
21
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- Pattern Recognition
27 publications · 1.4K citations
21
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