Facial Expression Recognition on SFEW 2.0 (test)
61.6AccuracyHDC††
Evaluation results
| Method | Links | |
|---|---|---|
| HDC††Pretraining=FER + TFD, ensemble=true2016.10 | 61.6 | |
| CMU††Pretraining=FER combined, ensemble=true2016.10 | 61.29 | |
| VGG-VD-16Pretraining=VGGFaces+FER2016.10 | 59.41 | |
| DMUEBackbone=ResNet-50IBN2021.04 | 58.34 | |
| CMU*Pretraining=FER combined, best_single_CNN=true2016.10 | 58.06 | |
| HDC*Pretraining=FER + TFD, best_single_CNN=true2016.10 | 57.3 | |
| DMUEBackbone=ResNet-182021.04 | 57.12 | |
| RAN2021.04 | 56.4 | |
| MultiCNNs2021.04 | 55.96 | |
| VGG-MPretraining=VGGFaces+FER2016.10 | 53.49 | |
| Island loss2021.04 | 52.52 | |
| Incept-ResV12021.04 | 51.9 | |
| IdentityCNN2021.04 | 50.98 | |
| AlexNetPretraining=VGGFaces+FER2016.10 | 50.81 | |
| Resnet-50Pretraining=VGGFaces+FER2016.10 | 45.97 |