Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix

Zero-shot hashing targets to learn the hash codes of images in unseen classes based on the limited training data provided by seen classes. In zero-shot hashing, transferring the supervised knowledge, such as attributes and semantic relations, from seen classes to unseen ones is a widely employed met...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 35; H. 5; S. 5426 - 5437
Hauptverfasser:	Shi, Yang, Nie, Xiushan, Liu, Xingbo, Yang, Lu, Yin, Yilong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	asymmetric ratio similarity matrix Asymmetry Binary codes Hamming distance Hash functions Hashing Mathematical analysis Optimization Semantics Similarity Symmetric matrices Visualization zero-shot
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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