Deep Hashing Similarity Learning for Cross-Modal Retrieval
In the realm of cross-modal retrieval research, hash methods have garnered significant attention from scholars due to their high retrieval efficiency and low storage costs. However, these methods often sacrifice a considerable amount of semantic features when mapping multi-modal characteristics to a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10387445/ |