2026
CLASS-INVARIANT TEST-TIME AUGMENTATION FOR DOMAIN GENERALIZATION
ICASSP 2026poster
Deep models often suffer significant performance degradation under distribution shifts. Domain generalization (DG) seeks to mitigate this challenge by enabling models to generalize to unseen domains. Most prior approaches rely on multi-domain training or computationally intensive test-time adaptatio…