HashNet: Deep Learning to Hash by Continuation

Learning to hash has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval, due to its computation efficiency and retrieval quality. Deep learning to hash, which improves retrieval quality by end-to-end representation learning and hash encoding, has received...

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Veröffentlicht in:	Proceedings / IEEE International Conference on Computer Vision S. 5609 - 5618
Hauptverfasser:	Zhangjie Cao, Mingsheng Long, Jianmin Wang, Yu, Philip S.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2017
Schlagworte:	Binary codes Encoding Machine learning Optimization Quantization (signal) Semantics Training
ISSN:	2380-7504
Online-Zugang:	Volltext
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