Visual Emotion Understanding on FI (full)
87.65AccuracyUniEmo
Evaluation Results
| Method | Links | |
|---|---|---|
| UniEmoBackbone=ViT-L/14, Paradigm=Supervised Emotion Recognition2025.07 | 87.65 | |
| UniEmoBackbone=ViT-B/16, Paradigm=Supervised Emotion Recognition2025.07 | 86.34 | |
| UniEmoBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 85.22 | |
| MVPBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 82.76 | |
| SimEmotionBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 80.33 | |
| MASANetBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 79.16 | |
| CoOpBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 78.66 | |
| PT-DPCBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 78.07 | |
| CoCoOpBackbone=ViT-B/32, Paradigm=Supervised Emotion Recognition2025.07 | 77.46 | |
| MDANBackbone=ResNet-101, Paradigm=Supervised Emotion Recognition2025.07 | 76.41 |