Towards Compact and Robust Model Learning Under Dynamically Perturbed Environments-Reference-Cited by-同舟云学术

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Towards Compact and Robust Model Learning Under Dynamically Perturbed Environments

Published:2024 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Luo Hui¹,Zhuang Zhuangwei²^ORCID,Li Yuanqing³^ORCID,Tan Mingkui²^ORCID,Chen Cen³^ORCID,Zhang Jianlin¹^ORCID

Affiliation:

1. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

2. School of Software Engineering, South China University of Technology, Guangzhou, China

3. Pazhou Laboratory, Guangzhou, China

Funder

Frontier Research Fund of Institute of Optics and Electronics, China Academy of Sciences

Key Realm R&D Program of Guangzhou

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10332249.pdf?arnumber=10332249

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