Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible–infrared Person Re-identification-Reference-Cited by-同舟云学术

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Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible–infrared Person Re-identification

Published:2024-07 Issue: Volume:133 Page:107990
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wu Song,Shan Shihao,Xiao Guoqiang,Lew Michael S.,Gao Xinbo^ORCID

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Reference50 articles.

1. Neural feature search for RGB-infrared person re-identification;Chen,2021

2. Structure-aware positional transformer for visible-infrared person re-identification;Chen;IEEE Trans. Image Process.,2022

3. Dai, Yongxing, Liu, Jun, Sun, Yifan, Tong, Zekun, Zhang, Chi, Duan, Ling-Yu, 2021. Idm: An intermediate domain module for domain adaptive person re-id. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 11864–11874.

4. Person recognition system based on a combination of body images from visible light and thermal cameras;Dat;Sensors,2017

5. Modality-transfer generative adversarial network and dual-level unified latent representation for visible thermal person re-identification;Fan;Vis. Comput.,2020

Cited by 1 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. Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification;Expert Systems with Applications;2025-01

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