AI RESEARCH
Distance-aware Soft Prompt Learning for Multimodal Valence-Arousal Estimation
arXiv CS.CV
•
ArXi:2603.13415v1 Announce Type: new Valence-arousal (VA) estimation is crucial for capturing the nuanced nature of human emotions in naturalistic environments. While pre-trained Vision-Language models like CLIP have shown remarkable semantic alignment capabilities, their application in continuous regression tasks is often limited by the discrete nature of text prompts. In this paper, we propose a novel multimodal framework for VA estimation that