CL-DMDF: New contrastive learning model for multimodal data fusion

Arxiv CS.LG (machine learning)

Proposes CL-DMDF, a dynamic multimodal data fusion model using contrastive learning to capture latent correlations between modalities. Aims to enhance data processing and decision-making.

contrastive-learningmultimodaldeep-learning

Arxiv CS.LG (machine learning)·Dong LiLingling ZhangBinghao HanLinlin DingYue Kou

8 days ago