AAMT: Adversarial Attack-Driven Mutual Teaching for Source-Free Domain-Adaptive Person Reidentification-Reference-Cited by-同舟云学术

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AAMT: Adversarial Attack-Driven Mutual Teaching for Source-Free Domain-Adaptive Person Reidentification

Published:2024 Issue: Volume:26 Page:8255-8267
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Qu Xiaofeng¹^ORCID,Zhang Huaxiang¹^ORCID,Zhu Lei²^ORCID,Nie Liqiang³^ORCID,Liu Li¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong Normal University, Jinan, China

2. School of Electronic and Information Engineering, Tongji University, Shanghai, China

3. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Major Fundamental Research Project of Shandong

Taishan Scholar Project of Shandong

CCF-Baidu Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10475539.pdf?arnumber=10475539

Reference64 articles.

1. Group Re-Identification With Group Context Graph Neural Networks

2. Robust Video-based Person Re-Identification by Hierarchical Mining

3. Towards generalizable person re-identification with a bi-stream generative model

4. Sampling and Re-Weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-Identification

5. Good is Bad: Causality Inspired Cloth-debiasing for Cloth-changing Person Re-identification

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