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Cross Domain Generative Augmentation

The authors propose a novel data augmentation method called Cross Domain Generative Augmentation (CDGA) to reduce the estimation error of Empirical Risk Minimization (ERM) under domain shift.

Data and Resources

Cite this as

Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang (2024). Dataset: Cross Domain Generative Augmentation. https://doi.org/10.57702/tszze9gp

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2312.05387
Author Sobhan Hemati
More Authors
Mahdi Beitollahi
Amir Hossein Estiri
Bassel Al Omari
Xi Chen
Guojun Zhang
Homepage https://arxiv.org/abs/2304.07193