Unsupervised cross-domain person re-identification by instance and distribution alignment
作者：
Highlights：
• A novel idea of exploring instance-wise localised source knowledge for unsupervised cross-domain person re-id.
• A Hierarchical Unsupervised Domain Adaptation method designed to discover localised source knowledge at the instance level.
• A Analyse feature representations for domain adaptation in closed-set supervised learning vs. open-set unsupervised learning.
摘要
•A novel idea of exploring instance-wise localised source knowledge for unsupervised cross-domain person re-id.•A Hierarchical Unsupervised Domain Adaptation method designed to discover localised source knowledge at the instance level.•A Analyse feature representations for domain adaptation in closed-set supervised learning vs. open-set unsupervised learning.
论文关键词：Unsupervise person re-identification,Domain adaptation
论文评审过程：Received 23 August 2020, Revised 22 December 2021, Accepted 23 December 2021, Available online 27 December 2021, Version of Record 2 January 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2021.108514
