Visual Concept Embedding
Visual Concept Embedding is a computational representation that encodes the meaning of visual concepts in a continuous vector space, distinguished by its integration of semantic knowledge with perceptual features to enable reasoning about visual content.
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3.4K
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197
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85
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2017–2026
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THINGS: A database of 1,854 object concepts and more than 26,000 naturalistic object images
Martin N. Hebart, Adam H. Dickter, Alexis Kidder et al. · PLoS ONE · 2019 · 300 citations · Full text
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
Chenchen Zhu, Fangyi Chen, Uzair Ahmed et al. · 2021 · 236 citations
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Tsinghua University
Beijing, China
5 h-index
8 publications
232 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
482 citations
Peng Cheng Laboratory
Shenzhen, China
3 h-index
3 publications
356 citations

University of North Carolina at Charlotte
Charlotte, United States
3 h-index
3 publications
110 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
397 citations

Peking University
Beijing, China
2 h-index
5 publications
111 citations
ShanghaiTech University
Shanghai, China
2 h-index
2 publications
80 citations
Tencent (China)
Shenzhen, China
2 h-index
2 publications
80 citations
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Repository · 7 publications · 588 citations
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Repository · 2 publications · 51 citations
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Conference · 2 publications · 99 citations
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Repository · 2 publications · 32 citations
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TOMCCAP · 1 publications · 11 citations
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