Robust Scene Classification
Robust Scene Classification is a scene classification framework that belongs to the class of computer vision methodologies and is distinguished by its capacity to maintain high accuracy and reliability under varying environmental conditions, occlusions, scale changes, and domain shifts.
56
Publications
2.7K
Citations
223
Authors
99
Institutions
Publications per year
2017–2026
25
Parents
56
2009 IEEE 12th International Conference on Computer Vision (ICCV)
Stephen Jay Gould, Richard D. Fulton, Daphne Koller et al. · 2009 · 164 citations
Robust classification of animal tracking data
Mac Schwager, D.M. Anderson, Zack Butler et al. · Computers and Electronics in Agriculture · 2007 · 100 citations
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Wuhan University
Wuhan, China
5 h-index
12 publications
506 citations
China University of Geosciences
Wuhan, China
3 h-index
13 publications
367 citations
Princeton University
Princeton, United States
2 h-index
6 publications
1.6K citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
152 citations
University of Oxford
Oxford, United Kingdom
2 h-index
5 publications
148 citations
Xi'an Institute of Optics and Precision Mechanics
Xi'an, China
2 h-index
2 publications
141 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
177 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
344 citations
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3 publications · 215 citations
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3 publications · 165 citations
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GRSL · 3 publications · 57 citations
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Conference · 2 publications · 526 citations
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2 publications · 125 citations
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