Scenarios Engineering for Trustworthy AI: Domain Adaptation Approach for Reidentification With Synthetic Data-Reference-Cited by-同舟云学术

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Scenarios Engineering for Trustworthy AI: Domain Adaptation Approach for Reidentification With Synthetic Data

Published:2024 Issue: Volume: Page:1-10
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Li Xuan¹^ORCID,Wang Xiao²^ORCID,Deng Fang³^ORCID,Wang Fei-Yue⁴^ORCID

Affiliation:

1. School of Automation, Beijing Institute of Technology, Beijing, China

2. School of Artificial Intelligence, Anhui University, Hefei, China

3. Key Laboratory of Intelligent Control and Decision of Complex Systems and the School of Automation, Beijing Institute of Technology, Beijing, China

4. Institute of Automation, State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing, China

Funder

Science and Technology Innovation 2030-Key Project of “New Generation Artificial Intelligence”

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program of China Association of Science and Technology

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6221021/6376248/10665751.pdf?arnumber=10665751

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