Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval
Abstract Although the fact that current methods have some effects, unsupervised cross-modal hashing methods still face several common challenges. First of all, the text features that have been collected from text data are not comprehensive enough to provide sufficient guidance for building textual m...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-01-01
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| Series: | Data Science and Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s41019-024-00274-7 |
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