Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval
Abstract Unsupervised hashing for cross-modal retrieval has received much attention in the data mining area. Recent methods rely on image-text paired data to conduct unsupervised cross-modal hashing in batch samples. There are two main limitations for existing models: (1) learning of cross-modal rep...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2024-04-01
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| Serie: | Data Science and Engineering |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s41019-024-00248-9 |
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