MCUR improves multimodal emotion recognition across heterogeneous modality setups by combining modality-combination contrastive learning with sample-wise uncertainty regularization, yielding F1 gains of 2.2-4.37% on MOSI, MOSEI, and IEMOCAP.
Multimodal reaction: Information modulation for cross- modal representation learning,
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Modality-Aware Contrastive and Uncertainty-Regularized Emotion Recognition
MCUR improves multimodal emotion recognition across heterogeneous modality setups by combining modality-combination contrastive learning with sample-wise uncertainty regularization, yielding F1 gains of 2.2-4.37% on MOSI, MOSEI, and IEMOCAP.