Feature Integration
Feature Integration is a theoretical framework in visual search that explains how distinct visual features such as color, shape, and orientation are bound together into coherent perceptual objects through a two-stage process involving preattentive feature detection and focused attentional integration.
546
Publications
61.3K
Citations
1.7K
Authors
592
Institutions
Publications per year
2017–2026
206
Variants
Feature Integration Theory
Parents
546
A feature-integration theory of attention
Anne Treisman, Garry A. Gelade · Cognitive Psychology · 1980 · 12.4K citations
Medicine, Psychology, Vision Science +12
Piotr Dollár, Zhuowen Tu, Pietro Perona et al. · 2009 · 1.3K citations
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang, Jingdong Wang, Zejian Yuan et al. · 2013 · 1.2K citations
1–5 of 546
1.7K
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École Polytechnique Fédérale de Lausanne, Switzerland
7 publications · 468 citations
7
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7
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1–5 of 1.7K
592

Chinese Academy of Sciences
Beijing, China
17 h-index
61 publications
4.5K citations
University of Chinese Academy of Sciences
Beijing, China
14 h-index
28 publications
4.9K citations
University of California, Berkeley
Berkeley, United States
11 h-index
15 publications
817 citations
Leiden University
Leiden, The Netherlands
11 h-index
20 publications
2.2K citations

University of Toronto
Toronto, Canada
11 h-index
27 publications
1.3K citations

University of Electronic Science and Technology of China
Chengdu, China
8 h-index
20 publications
550 citations
University of Southern California
Los Angeles, United States
8 h-index
19 publications
7.2K citations
Princeton University
Princeton, United States
8 h-index
14 publications
2.8K citations
1–8 of 592
58 publications · 8.1K citations
37
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29 publications · 2.3K citations
20
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15 publications · 740 citations
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12 publications · 976 citations
12
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12 publications · 406 citations
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