Multimodal Emotion Recognition On Iemocap
Metrics
Accuracy
Weighted F1
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Weighted F1 | Paper Title | Repository |
---|---|---|---|---|
GraphSmile | 72.77 | 72.81 | Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition | |
CORECT (4-class) | - | 0.846 | Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction |
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