EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation
Multimodal emotion recognition in conversation (MERC) achieves accurate predictions by integrating multimodal and contextual information in dialogues. While current MERC approaches focus on modeling complex contextual dependencies in conversation, they often overlook the impact of contextual emotional inertia in emotion shift, leading to sub-optimal performance. To address this issue, we propose a novel Emotional Inertia-Informed Supervised Contrastive Learning module (EII-SCL) that informs the contrastive objective by constructing inertia-affected samples within temporal windows, effectively leveraging emotional inertia as a prior while enabling seamless integration with existing MERC mo...
| Authors | Zilong Huang, Kong Aik Lee, Chong-Xin Gan et al. |
|---|---|
| Primary category | cs.MM |
| Published | 19 July 2026 |
| Last updated at source | 19 July 2026 |
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