Facial Expression Recognition on 3DRFE (test)
48.2AccuracySwin-T
Evaluation Results
| Method | Links | |
|---|---|---|
| Swin-TTraining Dataset=SynHMC-7K, # Params=28.3 M2026.07 | 48.2 | |
| R-18Training Dataset=SynHMC-7K, # Params=11.7 M2026.07 | 44.5 | |
| Swin-TTraining Dataset=AffectNet-280K, # Params=28.3 M2026.07 | 36.2 | |
| Swin-BTraining Dataset=AffectNet-280K, # Params=87.8 M2026.07 | 36 | |
| R-50Training Dataset=AffectNet-280K, # Params=25.6 M2026.07 | 29 | |
| R-18Training Dataset=AffectNet-280K, # Params=11.7 M2026.07 | 28.8 | |
| EfficientFaceTraining Dataset=RAF-DB, # Params=1.3 M2026.07 | 28.2 | |
| EfficientFaceTraining Dataset=AffectNet-280K, # Params=1.3 M2026.07 | 25 | |
| APViTTraining Dataset=RAF-DB, # Params=65.2 M2026.07 | 24.2 | |
| Swin-TTraining Dataset=AffectNet-7K, # Params=28.3 M2026.07 | 23.6 | |
| R-18Training Dataset=AffectNet-7K, # Params=11.7 M2026.07 | 22.4 |