Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model

Cross-modal hashing encodes heterogeneous multimedia data into compact binary code to achieve fast and flexible retrieval across different modalities. Due to its low storage cost and high retrieval efficiency, it has received widespread attention. Supervised deep hashing significantly improves searc...

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Detalles Bibliográficos
Autores principales: Li, Mingyong, Li, Qiqi, Tang, Lirong, Peng, Shuang, Ma, Yan, Yang, Degang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310450/
https://www.ncbi.nlm.nih.gov/pubmed/34326867
http://dx.doi.org/10.1155/2021/5107034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310450/
https://www.ncbi.nlm.nih.gov/pubmed/34326867
http://dx.doi.org/10.1155/2021/5107034

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