A plug-and-play contrastive regularization term, FixCLR, repels different pseudo-classes across domains and improves semi-supervised domain generalization accuracy when combined with FixMatch-based methods.
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FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization
A plug-and-play contrastive regularization term, FixCLR, repels different pseudo-classes across domains and improves semi-supervised domain generalization accuracy when combined with FixMatch-based methods.