Qianlong Dang

Split-and-Combine: Enhancing Style Augmentation for Single Domain Generalization

Single domain generalization aims to learn a model with good generalization ability from a single source domain. Recent advances in this field have focused on increasing the diversity of the training data through style (e.g., color and texture) augmentation. However, most existing methods apply unif…