Enhancing deep hashing with graph filters and autoencoder-based embeddings
Deep hashing has emerged as an efficient and robust solution for image retrieval through representation learning. However, convolutional neural network (CNN)-based hashing methods are constrained by their reliance on grid structures, limiting their capacity to model complex or unstructured data rela...
Furkejuvvon:
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
PeerJ Inc.
2026-03-01
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| Ráidu: | PeerJ Computer Science |
| Fáttát: | |
| Liŋkkat: | https://peerj.com/articles/cs-3644.pdf |
| Fáddágilkorat: |
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