Wen-Xin Zhao

Contrastive Mixed Prompt Learning for Incomplete Multimodal Sentiment Analysis with Unseen Modality Combination

This paper introduces the problem of Incomplete Multimodal Sentiment Analysis with Unseen Modality Combinations (IMSAUMC), aiming to enhance model generalization for unseen modality combinations, and introduces a label-guided contrastive feature learning mechanism to learn robust and discriminative cross-modal representations.