Saliency-based Segmentation
Saliency-Based Segmentation is a computational method in visual perception research that identifies and delineates image regions of highest perceptual prominence based on bottom-up attentional cues, distinguishing itself from other segmentation techniques by prioritizing stimulus-driven saliency over semantic or boundary-based cues.
272
Publications
19.1K
Citations
962
Authors
380
Institutions
Publications per year
2017–2026
152
Parents
272
Attention gated networks: Learning to leverage salient regions in medical images
Jo Schlemper, Ozan Oktay, Michiel Schaap et al. · Medical Image Analysis · 2019 · 1.9K citations · Full text
The Secrets of Salient Object Segmentation
Yin Li, Xiaodi Hou, Christof Koch et al. · 2014 · 1.4K citations · Full text
Visual saliency based on multiscale deep features
Guanbin Li, Yizhou Yu · 2015 · 995 citations
Saliency-aware geodesic video object segmentation
Wenguan Wang, Jianbing Shen, Fatih Porikli · 2015 · 543 citations
Saliency-Aware Video Object Segmentation
Wenguan Wang, Jianbing Shen, Ruigang Yang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 489 citations · Full text
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380

Chinese Academy of Sciences
Beijing, China
11 h-index
37 publications
1.4K citations

Beijing Institute of Technology
Beijing, China
9 h-index
33 publications
4.8K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
9 h-index
18 publications
3.3K citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
23 publications
1.1K citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
16 publications
694 citations

Huazhong University of Science and Technology
Wuhan, China
7 h-index
19 publications
586 citations

Beihang University
Beijing, China
7 h-index
25 publications
2.3K citations

Peking University
Beijing, China
6 h-index
13 publications
468 citations
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16 publications · 1.1K citations
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9 publications · 314 citations
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7 publications · 287 citations
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7 publications · 680 citations
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Repository · 6 publications · 371 citations
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