Selective Search
Selective Search is a methodological approach in information retrieval that systematically combines broad coverage with focused criteria to identify and prioritize relevant documents or data points by iteratively refining search results through hierarchical segmentation and complementary heuristics.
156
Publications
15.6K
Citations
422
Authors
182
Institutions
Publications per year
2017–2026
54
Parents
156
Selective Search for Object Recognition
Jasper Uijlings, Koen E. A. van de Sande, Theo Gevers et al. · International Journal of Computer Vision · 2013 · 6.1K citations · Full text
Segmentation as selective search for object recognition
Koen E. A. van de Sande, Jasper Uijlings, Theo Gevers et al. · 2011 · 754 citations
Regionlets for Generic Object Detection
Xiaoyu Wang, Ming Yang, Shenghuo Zhu et al. · 2013 · 332 citations
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422
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182
Carnegie Mellon University
Pittsburgh, United States
9 h-index
18 publications
476 citations

University of Amsterdam
Amsterdam, The Netherlands
8 h-index
21 publications
21.7K citations

University of Trento
Trento, Italy
4 h-index
8 publications
7.1K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
3 publications
111 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
13 publications
1K citations

University of Groningen
Groningen, The Netherlands
3 h-index
6 publications
768 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
3 h-index
7 publications
328 citations
Universidad Complutense de Madrid
Madrid, Spain
3 h-index
5 publications
240 citations
1–8 of 182
Repository · 5 publications · 128 citations
5
h-index
4 publications · 122 citations
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3 publications · 90 citations
3
h-index
3 publications · 360 citations
3
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3 publications · 246 citations
3
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