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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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2024) vom: 16. Dez.
1. Verfasser:	Tao, Xuefeng (VerfasserIn)
Weitere Verfasser:	Kong, Jun, Jiang, Min, Lu, Ming, Mian, Ajmal
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article