Abstract: Highlights•Focusing on the semantic inconsistency in contrastive learning.•Semantic consistency regularization alleviates the semantic inconsistency.•Pairwise subspace distance for measuring the distribution difference.•PSD is a plug and play module for contrastive learning methods.
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