Hierarchical Scene Classification
Hierarchical Scene Classification is a scene classification paradigm that organizes categories into a multi-level structure to exploit semantic relationships among scenes, thereby enabling more nuanced and contextually informed scene recognition compared to flat classification approaches.
38
Publications
3.4K
Citations
126
Authors
63
Institutions
Publications per year
2017–2026
13
Parents
38
Understanding Indoor Scenes Using 3D Geometric Phrases
Wongun Choi, Yu-Wei Chao, Caroline Pantofaru et al. · 2013 · 189 citations
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State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
7 publications
1.4K citations
Wuhan University
Wuhan, China
3 h-index
10 publications
2K citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
2 publications
90 citations
University of Michigan
Ann Arbor, United States
2 h-index
6 publications
600 citations
Princeton University
Princeton, United States
2 h-index
6 publications
1.6K citations
University of Catania
Catania, Italy
2 h-index
8 publications
208 citations
University of Southern California
Los Angeles, United States
2 h-index
6 publications
189 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
4 publications
556 citations
1–8 of 63
3 publications · 250 citations
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2 publications · 118 citations
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Repository · 2 publications · 159 citations
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Conference · 2 publications · 526 citations
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PNAS · 1 publications · 378 citations
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