Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing

Hashing is a popular search algorithm for its compact binary representation and efficient Hamming distance calculation. Benefited from the advance of deep learning, deep hashing methods have achieved promising performance. However, those methods usually learn with expensive labeled data but fail to...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2022-08, Vol.33 (8), p.4110-4124
Hauptverfasser:	Wang, Guan'An, Hu, Qinghao, Yang, Yang, Cheng, Jian, Hou, Zeng-Guang
Format:	Artikel
Sprache:	eng
Schlagworte:	Adversarial learning (AL) Binary codes Computational modeling Data models Datasets Deep learning Entropy (Information theory) Force Handwriting Hash functions hashing Knowledge management Learning Machine learning Search algorithms Semantics Training data Transfer learning Weibull distribution
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