Facial Action Unit Detection On Disfa
Metrics
Average F1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average F1 |
|---|---|
| multi-scale-dynamic-and-hierarchical | 66.2 |
| representation-learning-and-identity | 70.1 |
| representation-learning-and-identity | 68.7 |
| deep-adaptive-attention-for-joint-facial | 56.0 |
| learning-multi-dimensional-edge-feature-based | 63.1 |
| deep-region-and-multi-label-learning-for | 26.7 |
| learning-multi-dimensional-edge-feature-based | 62.4 |
| auformer-vision-transformers-are-parameter | 66.4 |
| multi-scale-promoted-self-adjusting | 65.5 |
| norface-improving-facial-expression-analysis | 72.7 |