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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Vydané v:	Proceedings / IEEE International Conference on Computer Vision s. 5609 - 5618
Hlavní autori:	Zhangjie Cao, Mingsheng Long, Jianmin Wang, Yu, Philip S.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2017
Predmet:	Binary codes Encoding Machine learning Optimization Quantization (signal) Semantics Training
ISSN:	2380-7504
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