CLIP-Based Adaptive Graph Attention Network for Large-Scale Unsupervised Multi-Modal Hashing Retrieval

With the proliferation of multi-modal data generated by various sensors, unsupervised multi-modal hashing retrieval has been extensively studied due to its advantages in storage, retrieval efficiency, and label independence. However, there are still two obstacles to existing unsupervised methods: (1...

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Detalles Bibliográficos
Autores principales: Li, Yewen, Ge, Mingyuan, Li, Mingyong, Li, Tiansong, Xiang, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099083/
https://www.ncbi.nlm.nih.gov/pubmed/37050499
http://dx.doi.org/10.3390/s23073439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099083/
https://www.ncbi.nlm.nih.gov/pubmed/37050499
http://dx.doi.org/10.3390/s23073439

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