Unsupervised Learning of Intrinsic Semantics with Diffusion Model for Person Re-Identification

Unsupervised person re-identification (Re-ID) aims to learn semantic representations for person retrieval without using identity labels. Most existing methods generate fine-grained patch features to reduce noise in global feature clustering. However, these methods often compromise the discriminative...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2024) vom: 16. Dez.
Auteur principal:	Tao, Xuefeng (Auteur)
Autres auteurs:	Kong, Jun, Jiang, Min, Lu, Ming, Mian, Ajmal
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