Multimodal Emotion Recognition in Conversation on IEMOCAP 4-class (test)
86.52F1 Score (Weighted)GraphSmile
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GraphSmile2024.07 | 86.52 | 87.94 | 88.67 | 85.41 | 84.73 | 86.53 | |
| JoyfulResult Source=Original Paper2024.07 | 85.7 | 80.1 | 88.1 | 85.1 | 88.1 | — | |
| COGMENResult Source=Original Paper2024.07 | 84.5 | — | — | — | — | — | |
| M3NetResult Source=Original Paper2024.07 | 83.57 | 80 | 85.16 | 84.63 | 81.9 | 83.67 | |
| DialogueCRNResult Source=Original Paper, Multimodal Feature Fusion Strategy=Direct Concatenation2024.07 | 81.28 | 75.64 | 82.05 | 81.16 | 85.22 | 81.34 | |
| MM-DFNResult Source=Original Paper2024.07 | 80.83 | 80.3 | 80.41 | 79.16 | 85.64 | 80.91 | |
| SACL-LSTMResult Source=Replication, Multimodal Feature Fusion Strategy=Direct Concatenation2024.07 | 80.74 | 75.64 | 78.75 | 81.83 | 85.47 | 80.7 | |
| MMGCNResult Source=Original Paper2024.07 | 79.72 | 79.56 | 79.33 | 79.27 | 81.42 | 79.75 |