Deep Fuzzy Hashing Network for Efficient Image Retrieval

Hashing methods for efficient image retrieval aim at learning hash functions that map similar images to semantically correlated binary codes in the Hamming space with similarity well preserved. The traditional hashing methods usually represent image content by hand-crafted features. Deep hashing met...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 29; H. 1; S. 166 - 176
Hauptverfasser:	Lu, Huimin, Zhang, Ming, Xu, Xing, Li, Yujie, Shen, Heng Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Binary codes Data models Data structures Deep neural network (DNN) Feature extraction Fuzzy logic fuzzy neural net-work (FNN) Fuzzy neural networks hashing learning Image management Image retrieval Machine learning Neural networks Similarity
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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