Multimodal Video Emotion Recognition with Reliable Reasoning Priors

• URL: http://arxiv.org/abs/2508.03722v1
• Date: Tue, 29 Jul 2025 15:55:23 GMT
• Title: Multimodal Video Emotion Recognition with Reliable Reasoning Priors
• Abstract summary: We employ Gemini to generate fine-grained, modality-separable reasoning traces, which are injected as priors during the fusion stage.<n>We introduce Balanced Dual-Contrastive Learning, a loss formulation that jointly balances inter-class and intra-class distributions.
• Score: 24.692842008018545
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This study investigates the integration of trustworthy prior reasoning knowledge from MLLMs into multimodal emotion recognition. We employ Gemini to generate fine-grained, modality-separable reasoning traces, which are injected as priors during the fusion stage to enrich cross-modal interactions. To mitigate the pronounced class-imbalance in multimodal emotion recognition, we introduce Balanced Dual-Contrastive Learning, a loss formulation that jointly balances inter-class and intra-class distributions. Applied to the MER2024 benchmark, our prior-enhanced framework yields substantial performance gains, demonstrating that the reliability of MLLM-derived reasoning can be synergistically combined with the domain adaptability of lightweight fusion networks for robust, scalable emotion recognition.

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