Image–text feature learning for unsupervised visible–infrared person re-identification

Visible–infrared person re-identification (VI-ReID) focuses on matching infrared and visible images of the same person. To reduce labeling costs, unsupervised VI-ReID (UVI-ReID) methods typically use clustering algorithms to generate pseudo-labels and iteratively optimize the model based on these ps...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Image and vision computing Jg. 158; S. 105520
Hauptverfasser:	Guo, Jifeng, Pang, Zhiqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2025
Schlagworte:	Contrastive learning Unsupervised learning Visible–infrared person re-identification Vision-language models Vision-language models Visible–infrared person re-identification Unsupervised learning Contrastive learning
ISSN:	0262-8856
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!