Zero-shot Image Recognition
Zero-Shot Image Recognition is an image understanding task in which a model identifies previously unseen object categories without any training examples from those categories, relying instead on semantic representations or auxiliary information to bridge the gap between known and unknown classes.
162
Publications
12K
Citations
485
Authors
177
Institutions
Publications per year
2017–2026
148
Parents
162
Devi Parikh, Kristen Grauman · 2011 · 900 citations
Evaluation of output embeddings for fine-grained image classification
2015 · 734 citations · Full text
Label-Embedding for Attribute-Based Classification
Zeynep Akata, Florent Perronnin, Zaïd Harchaoui et al. · 2013 · 636 citations · Full text
1–5 of 162
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Inception Institute of Artificial Intelligence, United Arab Emirates
8 publications · 350 citations
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1–5 of 485
177

Chinese Academy of Sciences
Beijing, China
9 h-index
15 publications
676 citations
University of Science and Technology of China
Hefei, China
8 h-index
23 publications
1.2K citations

Zhejiang University
Hangzhou, China
8 h-index
23 publications
1.8K citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
17 publications
547 citations
Tencent (China)
Shenzhen, China
5 h-index
8 publications
559 citations
Nanjing University of Science and Technology
Nanjing, China
5 h-index
5 publications
73 citations
Inception Institute of Artificial Intelligence
Abu Dhabi, United Arab Emirates
5 h-index
5 publications
285 citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
3 publications
81 citations
1–8 of 177
Repository · 24 publications · 777 citations
16
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6 publications · 140 citations
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TPAMI · 3 publications · 1.8K citations
5
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4 publications · 135 citations
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4 publications · 137 citations
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