Multi Queue for Unsupervised Person Re-identification

Recently, cluster-based methods have achieved significant success in unsupervised re-ID tasks. The hierarchical clustering algorithm, exemplified by SpCL, has been widely adopted in unsupervised cross-domain adaptation and unsupervised learning. The momentum-based feature update mechanism in SpCL ha...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Lin, Zhenyuan, Xie, Shengyong, Liu, Danhua, Li, Weikun, Gao, Ang, Dong, Yubo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.04.2025
Schlagworte:	Classification algorithms Clustering algorithms hierarchical clustering algorithm Image classification multi queue features updating algorithm Sensitivity Signal processing Signal processing algorithms Speech processing Temperature sensors Unsupervised learning unsupervised re-ID tasks updating feature vectors Vectors
ISSN:	2379-190X
Online-Zugang:	Volltext
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