Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training

Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training

Person re-identification (re-ID) is the task of finding the matched person in a non-overlapping and multi-camera system. Because annotating images across multiple cameras is difficult and time-consuming, this paper focuses on fully unsupervised learning person re-ID that can learn person re-ID on un...

Bibliografske podrobnosti
Main Authors:	Qing Tang, Ge Cao, Kang-Hyun Jo
Format:	Article
Jezik:	English
Izdano:	IEEE 2021-01-01
Serija:	IEEE Access
Teme:	Person re-identification fully unsupervised learning pseudo label prediction
Online dostop:	https://ieeexplore.ieee.org/document/9645557/

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