Multimodal Metric Learning
Multimodal Metric Learning is a metric learning framework that learns a unified distance function across multiple modalities by preserving semantic similarity relationships while accounting for cross-modal variations in feature representation.
75
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4.6K
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287
Authors
133
Institutions
Publications per year
2017–2026
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Cross-Modality Person Re-Identification with Generative Adversarial Training
Pingyang Dai, Rongrong Ji, Haibin Wang et al. · 2018 · 434 citations · Full text
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking
Jun Yu, Xiaokang Yang, Fei Gao et al. · IEEE Transactions on Cybernetics · 2016 · 371 citations
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Nanjing University
Nanjing, China
6 h-index
20 publications
1.3K citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
9 publications
469 citations

University of Manchester
Manchester, United Kingdom
4 h-index
4 publications
125 citations
Xiamen University
Xiamen, China
4 h-index
12 publications
2.5K citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
13 publications
864 citations

Zhejiang University
Hangzhou, China
3 h-index
3 publications
236 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
370 citations

University of Surrey
Guildford, United Kingdom
3 h-index
7 publications
259 citations
1–8 of 133
Repository · 5 publications · 121 citations
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4 publications · 148 citations
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3 publications · 196 citations
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2 publications · 146 citations
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