TDKG: Text-Guided Domain Knowledge Generalization with Cross-Modal Feature Alignment
Domain generalization (DG) attempts to generalize a model trained on single or multiple source domains to an unseen target domain. Motivated by the transferability of vision-language pretrained models, we argue that text can provide complementary semantic cues for domain generalization. In this paper, we develop a Text...