Emotion Recognition In Conversation On Cmu 2
المقاييس
Accuracy
Weighted F1
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | Accuracy | Weighted F1 |
|---|---|---|
| mmgcn-multimodal-fusion-via-deep-graph | 45.67 | 44.11 |
| 2407-21536 | 46.82 | 44.93 |
| supervised-adversarial-contrastive-learning | 38.60 | 25.95 |
| multivariate-multi-frequency-and-multimodal | 43.67 | 41.12 |
| cogmen-contextualized-gnn-based-multimodal | - | 43.90 |
| mm-dfn-multimodal-dynamic-fusion-network-for | 45.29 | 42.98 |
| dialoguecrn-contextual-reasoning-networks-for | 37.88 | 26.55 |