2024
SPDG-Net: Semantics Preserving Domain Augmentation through Style Interpolation for Multi-Source Domain Generalization
ICASSP 2024accepted
This paper focuses on domain generalization (DG), addressing the challenge of robust classifier learning from multiple source domains for generalizing to unseen ones. DG suffers from limited source domain diversity, which may hinder model generalization. Recent studies explore domain-augmentation st…