Litian Xu

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment

Cross-modal alignment is a crucial task in multimodal learning aimed at achieving semantic consistency between vision and language. This requires that image-text pairs exhibit similar semantics. Traditional algorithms pursue embedding consistency to achieve semantic consistency, ignoring the non-sem