MissBench: Benchmarking Multimodal Affective Analysis under Imbalanced Missing Modalities

ArXi:2603.09874v1 Announce Type: new Multimodal affective computing underpins key tasks such as sentiment analysis and emotion recognition. Standard evaluations, however, often assume that textual, acoustic, and visual modalities are equally available. In real applications, some modalities are systematically fragile or expensive, creating imbalanced missing rates and