MVCL-DAF++ combines prototype-based contrastive learning with coarse-to-fine attention fusion and reports improved accuracy and weighted F1 on MIntRec and MIntRec2.0.
Temporal working memory: Query- guided segment refinement for enhanced multimodal understanding,
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MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion
MVCL-DAF++ combines prototype-based contrastive learning with coarse-to-fine attention fusion and reports improved accuracy and weighted F1 on MIntRec and MIntRec2.0.