Zero-Shot Image Classification is an image classification paradigm in which a model identifies previously unseen categories without direct training examples by leveraging semantic representations and auxiliary information that bridge visual and categorical domains.
167
Publications
23.3K
Citations
662
Authors
191
Institutions
Publications per year
2017–2026
147
Parents
Publications
167
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy et al. · arXiv (Cornell University) · 2021 · 5.3K citations · Full text
1–5 of 167
Authors
662
- ZA
10
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- ZJ
7
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- MW
6
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- BS
6
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- YX
6
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1–5 of 662
Institutions
191
Xidian University
Xi'an, China
9 h-index
32 publications
763 citations
Zhejiang University
Hangzhou, China
7 h-index
25 publications
1.5K citations
Inception Institute of Artificial Intelligence
Abu Dhabi, United Arab Emirates
7 h-index
12 publications
2.1K citations
Google (United States)
Mountain View, United States
7 h-index
23 publications
1.1K citations
University of Edinburgh
Edinburgh, United Kingdom
6 h-index
7 publications
857 citations
Tianjin University
Tianjin, China
6 h-index
19 publications
771 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
6 h-index
14 publications
7.8K citations
China University of Mining and Technology
Xuzhou, China
5 h-index
18 publications
499 citations
1–8 of 191
Venues
- arXiv (Cornell University)
Repository · 41 publications · 7.9K citations
22
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 6 publications · 341 citations
6
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 5 publications · 4.1K citations
5
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- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 4 publications · 1.1K citations
4
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- IEEE Transactions on Image Processing
4 publications · 155 citations
4
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1–5