arXiv cs.AI
· Papers
Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach
arXiv:2607.14702v1 Announce Type: cross Abstract: Automatic recognition of ambivalence and hesitancy is challenging because these states may be expressed through inconsistent linguistic, acoustic, facial, and contextual patterns, while top-performing systems often rely on computationally expensive ensembles. We present