Zehui Dai

Evolving Standardization for Continual Domain Generalization over Temporal Drift

The capability of generalizing to out-of-distribution data is crucial for the deployment of machine learning models in the real world. Existing domain generalization (DG) mainly embarks on offline and discrete scenarios, where multiple source domains are simultaneously accessible and the distributio…