Facial Action Unit Detection On Bp4D
Metriken
Average F1
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Average F1 |
|---|---|
| learning-multi-dimensional-edge-feature-based | 59.1 |
| auformer-vision-transformers-are-parameter | 66.2 |
| learning-multi-dimensional-edge-feature-based | 65.5 |
| representation-learning-and-identity | 66.6 |
| deep-adaptive-attention-for-joint-facial | 60.0 |
| norface-improving-facial-expression-analysis | 69.3 |
| multi-view-dynamic-facial-action-unit | 63.0 |
| learning-multi-dimensional-edge-feature-based | 64.7 |
| representation-learning-and-identity | 67.1 |
| multi-scale-promoted-self-adjusting | 65.6 |
| learning-multi-dimensional-edge-feature-based | 62.6 |
| multi-scale-dynamic-and-hierarchical | 66.6 |
| deep-region-and-multi-label-learning-for | 48.3 |