Unsupervised Person Re-Identification with Attention-Guided Fine-Grained Features and Symmetric Contrast Learning

Unsupervised Person Re-Identification with Attention-Guided Fine-Grained Features and Symmetric Contrast Learning

Unsupervised person re-identification has attracted a lot of attention due to its strong potential to adapt to new environments without manual annotation, but learning to recognise features in disjoint camera views without annotation is still challenging. Existing studies tend to ignore the optimisa...

Full description

Bibliographic Details
Main Authors: Yongzhi Wu, Wenzhong Yang, Mengting Wang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
person re-identification
attention
fine-grained feature
contrast learning
unsupervised learning
Online Access:https://www.mdpi.com/1424-8220/22/18/6978

Similar Items

Similar Items