Hierarchical Image Classification
Hierarchical Image Classification is an image classification paradigm that organizes semantic categories into a hierarchical structure, distinguishing it from flat classification by exploiting parent-child relationships among classes to improve accuracy and model interpretability.
202
Publications
40.9K
Citations
648
Authors
280
Institutions
Publications per year
2017–2026
87
Parents
202
Neighborhood Attention Transformer
Ali Hassani, Steven Walton, Jiachen Li et al. · 2023 · 411 citations
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao et al. · arXiv (Cornell University) · 2021 · 397 citations · Full text
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Chinese Academy of Sciences
Beijing, China
11 h-index
28 publications
935 citations

University of North Carolina at Charlotte
Charlotte, United States
10 h-index
20 publications
898 citations

Xi'an Jiaotong University
Xi'an, China
6 h-index
13 publications
30.6K citations
Northwest University
Xi'an, China
5 h-index
12 publications
302 citations
Wuhan University
Wuhan, China
5 h-index
14 publications
410 citations

Xidian University
Xi'an, China
5 h-index
6 publications
182 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
295 citations
Institute of Automation
Beijing, China
4 h-index
8 publications
197 citations
1–8 of 280
Repository · 11 publications · 761 citations
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7 publications · 1K citations
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5 publications · 138 citations
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5 publications · 225 citations
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4 publications · 255 citations
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