A GAN-Based Self-Training Framework for Unsupervised Domain Adaptive Person Re-Identification

A GAN-Based Self-Training Framework for Unsupervised Domain Adaptive Person Re-Identification

As a crucial task in surveillance and security, person re-identification (re-ID) aims to identify the targeted pedestrians across multiple images captured by non-overlapping cameras. However, existing person re-ID solutions have two main challenges: the lack of pedestrian identification labels in th...

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Bibliographic Details
Main Authors: Yuanyuan Li, Sixin Chen, Guanqiu Qi, Zhiqin Zhu, Matthew Haner, Ruihua Cai
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Imaging
Subjects:
person re-ID
domain shift
style transfer
self-training
Online Access:https://www.mdpi.com/2313-433X/7/4/62

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https://www.mdpi.com/2313-433X/7/4/62

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