“…Domain generalization has been mostly explored on the image classification task, and a number of approaches have been proposed using as meta-learning [2,29,30,34], adversarial training [31,33,52], autoencoders [18,33], metric learning [12,42] and data augmentation [19,74]. The research on domain generalization for semantic segmentation (DGSS) is still in its infancy, with only a few existing approaches [9,47,48,51,66]. These existing DGSS methods mainly focus on two aspects: (1) Domain Randomization and (2) Normalization and Whitening.…”