Unsupervised embedding learning via invariant and spreading instance feature

M Ye, X Zhang, PC Yuen… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
This paper studies the unsupervised embedding learning problem, which requires an
effective similarity measurement between samples in low-dimensional embedding space …

A survey of open-world person re-identification

Q Leng, M Ye, Q Tian - … on Circuits and Systems for Video …, 2019 - ieeexplore.ieee.org
Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Triplet contrastive representation learning for unsupervised vehicle re-identification

F Shen, X Du, L Zhang, X Shu, J Tang - arxiv preprint arxiv:2301.09498, 2023 - arxiv.org
Part feature learning is critical for fine-grained semantic understanding in vehicle re-
identification. However, existing approaches directly model part features and global …