Camera-Aware Style Separation and Contrastive Learning for Unsupervised Person Re-Identification
Author:
Affiliation:
1. School of Computer and Information Technology, Beijing JiaoTong University,Beijing,China
Funder
National Natural Science Foundation of China
National key research and development program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9859562/9858923/09859842.pdf?arnumber=9859842
Reference35 articles.
1. Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification
2. Unsupervised Person Re-Identification via Softened Similarity Learning
3. A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification
4. Online pseudo label generation by hierarchical cluster dynamics for adaptive person re-identi?cation;zheng;ICCV,0
5. MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
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1. Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-06
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3. Semantic Camera Self-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification;IEEE Signal Processing Letters;2024
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