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CRISP: Compositional Relations as Invariant Structural Priors for Domain Generalization
Domain generalization requires identifying stable representations that support reliable classification across domains. Domains may differ in low-level attributes, such as color, texture, or visual style, while preserving the same structural relationships among their underlying components. Existing m
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