Facial Expression Recognition on SFEW 2.0 (val)
61.92AccuracyAPVIT
Evaluation Results
| Method | Links | |
|---|---|---|
| APVITPre-training=RAF-DB2022.12 | 61.92 | |
| MA-NetPre-training=FER20132022.12 | 59.4 | |
| AHA2022.12 | 58.89 | |
| Model-4Covariance Pooling=true, SPD Layers=Cov-BiRe-LogEig, Architecture=FC2000-FC512-FC72018.05 | 58.14 | |
| DAN2022.12 | 57.88 | |
| APMPre-training=RAF-DB2022.12 | 57.57 | |
| PAT-Res101 + attrBackbone=ResNet-101, Features=Attributes included2022.12 | 57.57 | |
| Model-3Covariance Pooling=true, SPD Layers=Cov-BiRe-BiRe-LogEig2018.05 | 57.48 | |
| Model-2Covariance Pooling=true, SPD Layers=Cov-BiRe-LogEig, Architecture=FC2000-FC128-FC72018.05 | 56.72 | |
| RANBackbone=VGG16+ResNet182022.12 | 56.4 | |
| CMU††Pretraining=FER combined, ensemble=true2016.10 | 55.96 | |
| EmotiW-1year=20152018.05 | 55.96 | |
| Model-1Covariance Pooling=true, SPD Layers=Cov-BiRe-LogEig2018.05 | 55.4 | |
| LBAN-IL2022.12 | 55.28 | |
| VGG-VD-16Pretraining=VGGFaces+FER2016.10 | 54.82 | |
| VGG-VD-162018.05 | 54.82 | |
| Baseline ModelCovariance Pooling=false2018.05 | 54.45 | |
| PAT-Res101Backbone=ResNet-1012022.12 | 53.9 | |
| HDC††Pretraining=FER + TFD, ensemble=true2016.10 | 52.8 | |
| EmotiW-2year=20152018.05 | 52.8 | |
| HDC*Pretraining=FER + TFD, best_single_CNN=true2016.10 | 52.5 | |
| Kim's CNN2022.12 | 52.5 | |
| CMU*Pretraining=FER combined, best_single_CNN=true2016.10 | 52.29 | |
| DLP-CNN2022.12 | 51.05 | |
| Resnet-50Pretraining=VGGFaces+FER2016.10 | 50.91 | |
| Resnet-50Pretraining=VGGFaces2016.10 | 47.48 | |
| VGG-MPretraining=VGGFaces+FER2016.10 | 47.02 | |
| VGG-VD-16Pretraining=VGGFaces2016.10 | 43.58 | |
| VGG-MPretraining=VGGFaces2016.10 | 42.9 | |
| AlexNetPretraining=VGGFaces+FER2016.10 | 38.07 | |
| AlexNetPretraining=VGGFaces2016.10 | 37.67 |