TDCRL applies causal-style interventions to CLIP text embeddings using a confounder dictionary and a contrastively trained network, and reports improved source-free domain generalization on PACS, VLCS, OfficeHome, and DomainNet.
Generalizing to unseen domains: A survey on domain generalization,
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Text-Driven Causal Representation Learning for Source-Free Domain Generalization
TDCRL applies causal-style interventions to CLIP text embeddings using a confounder dictionary and a contrastively trained network, and reports improved source-free domain generalization on PACS, VLCS, OfficeHome, and DomainNet.