Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing
Cross-modal hashing(CMH) is a key technique in information retrieval, valued for its efficiency, low dimensionality, and minimal storage requirements. Despite notable progress in this field, challenges persist, particularly the reliance on large labeled datasets. This paper presents a novel domain a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120694/1/120694.pdf http://psasir.upm.edu.my/id/eprint/120694/ https://link.springer.com/article/10.1007/s10489-025-06712-x?error=cookies_not_supported&code=de131270-5fa7-45c4-a827-9dede4ec6578 |
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