Zero-shot Scene Classification
Zero-Shot Scene Classification is a scene classification paradigm that enables the recognition of previously unseen scene categories by leveraging semantic attribute representations or auxiliary information, rather than relying on direct visual examples from the target classes.
17
Publications
1K
Citations
73
Authors
30
Institutions
Publications per year
2017–2026
17
Parents
17
Yansheng Li, Deyu Kong, Yongjun Zhang et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2021 · 154 citations
Large-Scale Datasets for Going Deeper in Image Understanding
Jiahong Wu, Zheng He, Bo Zhao et al. · 2019 · 131 citations · Full text
Hongguang Zhang, Piotr Koniusz · 2018 · 107 citations
1–5 of 17
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University of Electronic Science and Technology of China, China
2 publications · 169 citations
2
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2
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2
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1–5 of 73
30
Wuhan University
Wuhan, China
3 h-index
9 publications
732 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
273 citations

Peking University
Beijing, China
3 h-index
10 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
129 citations
University of Science and Technology of China
Hefei, China
2 h-index
3 publications
61 citations
Aerospace Information Research Institute
Beijing, China
2 h-index
9 publications
230 citations
Queen Mary University of London
London, United Kingdom
1 h-index
1 publications
99 citations

University of Agder
Kristiansand, Norway
1 h-index
1 publications
62 citations
1–8 of 30
2 publications · 204 citations
2
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2 publications · 184 citations
2
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1 publications · 18 citations
1
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1 publications · 31 citations
1
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1 publications · 23 citations
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