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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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Lin, Zhenyuan, Xie, Shengyong, Liu, Danhua, Li, Weikun, Gao, Ang, Dong, Yubo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.04.2025
Predmet:	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
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