Towards reliable domain generalization: Insights from the PF2HC benchmark and dynamic evaluations-Reference-Cited by-同舟云学术

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Towards reliable domain generalization: Insights from the PF2HC benchmark and dynamic evaluations

Published:2025-01 Issue: Volume:157 Page:110926
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Jiao^ORCID,Ao Xiang^ORCID,Zhang Xu-Yao,Liu Cheng-Lin^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Reference59 articles.

1. Domain generalization: A survey;Zhou;IEEE Trans. Pattern Anal. Mach. Intell.,2023

2. Generalizing to unseen domains: A survey on domain generalization;Wang;IEEE Trans. Knowl. Data Eng.,2023

3. I. Gulrajani, D. Lopez-Paz, In Search of Lost Domain Generalization, in: ICLR, 2021.

4. V. Vapnik, Principles of Risk Minimization for Learning Theory, in: NeurIPS, 1991, pp. 831–838.

5. WILDS: A benchmark of in-the-wild distribution shifts;Koh,2021

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