Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing

In real-world datasets, visually related images often form clusters, and these clusters can be further grouped into larger categories with more general semantics. These inherent hierarchical structures can help capture the underlying distribution of data, making it easier to learn robust hash codes...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 07., Seite 1768-1781
Auteur principal:	Wei, Rukai (Auteur)
Autres auteurs:	Liu, Yu, Song, Jingkuan, Xie, Yanzhao, Zhou, Ke
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article