The triple refinement of self-paced learning style for unsupervised cross-domain person re-identification-Reference-Cited by-同舟云学术

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The triple refinement of self-paced learning style for unsupervised cross-domain person re-identification

Published:2024-01 Issue: Volume:141 Page:104870
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Zhou Shuren,Lei Nanfang,Zhou Jiarui,Xiong Jiasi,Zhang Jianming

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference47 articles.

1. Part-based pseudo label refinement for unsupervised person re-identification;Cho,2022

2. Unsupervised person re-identification: clustering and fine-tuning;Fan;ACM Trans. Multimed. Comput. Commun. Appl. (TOMM),2018

3. Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification;Fu,2019

4. Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification;Fu,2019

5. Mutual mean-teaching: Pseudo label refinery for unsupervised domain adaptation on person re-identification;Ge,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Noise-robust re-identification with triple-consistency perception;Image and Vision Computing;2024-10

2. Consistency-aware unsupervised label learning for cross-domain person re-identification;Multimedia Tools and Applications;2024-07-25

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