Image Classification Labels
Image Classification Labels is a formal annotation scheme that assigns a single categorical tag to an entire image, distinguishing it from other annotation types by representing the global semantic content rather than localized or fine-grained visual attributes.
101
Publications
7.8K
Citations
426
Authors
189
Institutions
Publications per year
2017–2026
80
Variants
Image-level Labels
Parents
101
ON IMAGE CLASSIFICATION: CITY IMAGES VS. LANDSCAPES
Aditya Vailaya, Hong-Jiang Zhang · Pattern Recognition · 1998 · 387 citations
Deep convolutional networks do not classify based on global object shape
Nicholas Baker, Hongjing Lu, Gennady Erlikhman et al. · PLoS Computational Biology · 2018 · 373 citations · Full text
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Wrightington, Wigan and Leigh NHS Foundation Trust, United Kingdom
3 publications · 97 citations
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3
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189

Shanghai Jiao Tong University
Shanghai, China
5 h-index
12 publications
3.6K citations
The University of Texas at Austin
Austin, United States
4 h-index
8 publications
518 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
567 citations
Google (United States)
Mountain View, United States
4 h-index
10 publications
276 citations
University of Technology Sydney
Sydney, Australia
4 h-index
4 publications
376 citations

Sichuan University
Chengdu, China
3 h-index
10 publications
217 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
10 publications
270 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
6 publications
249 citations
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Repository · 14 publications · 619 citations
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Conference · 3 publications · 242 citations
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4 publications · 120 citations
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3 publications · 161 citations
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3 publications · 121 citations
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