Refining Pseudo Labels for Unsupervised Domain Adaptive Person Re-Identification

Refining Pseudo Labels for Unsupervised Domain Adaptive Person Re-Identification

Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims to generalize the model trained on a labeled source domain to an unlabeled target domain. Recently, the methods based on pseudo labels have achieved great success in the field of UDA person re-ID. However, pseudo label noise is...

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Bibliographic Details
Main Authors: Limin Xia, Zhimin Yu, Wentao Ma, Jiahui Zhu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Person re-identification
unsupervised domain adaptation
pseudo label refinement
light enhancement
transformer
Online Access:https://ieeexplore.ieee.org/document/9525100/

Internet

https://ieeexplore.ieee.org/document/9525100/

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