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PAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization
Single domain generalization (SDG) aims to learn a model from one labeled source domain that generalizes to unseen target domains. A common strategy is to enrich the source distribution with augmented or generated samples, and recent text-to-image (T2I) diffusion models provide a strong generative p
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