Facial Expression Recognition on AffectNet
67.49AccuracyPOSTER++
Evaluation Results
| Method | Links | |
|---|---|---|
| POSTER++FP=Yes2026.03 | 67.49 | |
| POSTERFP=Yes2026.03 | 67.31 | |
| APViTFP=Yes2026.03 | 66.91 | |
| DACLFP=Yes2026.03 | 65.2 | |
| EmoDC AMDiTFP=No, cnn=cnc2026.03 | 64.49 | |
| Meta-Face2ExpFP=Yes2026.03 | 64.23 | |
| EmoDC AMDiTFP=No, cnn=cp2026.03 | 63.86 | |
| EfficientFaceFP=Yes2026.03 | 63.7 | |
| CPGBackbone=SphereFace-20, Expansion=1x, Reduction=0.003x2019.10 | 63.57 | |
| MT-ArcResLoss Function=ArcFace, Training=Re-trained2019.09 | 63 | |
| FinetuneBackbone=SphereFace-20, Expansion=4x, Reduction=0x2019.10 | 62.54 | |
| MT-ArcVGGLoss Function=ArcFace, Training=Re-trained2019.09 | 62 | |
| VTFFFP=Yes2026.03 | 61.85 | |
| EAC (Ours)Noise (%)=10, Backbone=ResNet-182022.07 | 61.11 | |
| RUL (NeurIPS21)Noise (%)=10, Backbone=ResNet-182022.07 | 60.54 | |
| EAC (Ours)Noise (%)=20, Backbone=ResNet-182022.07 | 60.29 | |
| EmoDC BaseFP=No2026.03 | 59.63 | |
| RAN-ResNet18+Network=ResNet18, Year=2019, Oversampling=true2019.05 | 59.5 | |
| RANFP=Yes2026.03 | 59.5 | |
| RUL (NeurIPS21)Noise (%)=20, Backbone=ResNet-182022.07 | 59.01 | |
| FT-MT-VGGBackbone=MT-VGG, Training=Fine-tuned2019.09 | 59 | |
| EAC (Ours)Noise (%)=30, Backbone=ResNet-182022.07 | 58.91 | |
| SCN (CVPR20)Noise (%)=10, Backbone=ResNet-182022.07 | 58.6 | |
| Weighted-LossNetwork=AlexNet, Year=20182019.05 | 58 | |
| AlexNet2019.09 | 58 | |
| Train from ScratchBackbone=SphereFace-20, Expansion=4x, Reduction=0x2019.10 | 57.64 | |
| SCN (CVPR20)Noise (%)=20, Backbone=ResNet-182022.07 | 57.51 | |
| IPA2LT (LTNet)FP=No2026.03 | 57.31 | |
| BaselineNoise (%)=10, Backbone=ResNet-182022.07 | 57.24 | |
| RUL (NeurIPS21)Noise (%)=30, Backbone=ResNet-182022.07 | 56.93 | |
| BaselineNoise (%)=20, Backbone=ResNet-182022.07 | 55.89 | |
| [66]Network=ResNet80, Year=2018, RAF-DB added to training=true2019.05 | 55.71 | |
| SCN (CVPR20)Noise (%)=30, Backbone=ResNet-182022.07 | 54.6 | |
| MT-VGGTraining=Trained on Aff-Wild22019.09 | 54 | |
| RAN-ResNet18Network=ResNet18, Year=20192019.05 | 52.97 | |
| BaselineNoise (%)=30, Backbone=ResNet-182022.07 | 52.16 | |
| Up-SamplingNetwork=AlexNet, Year=20182019.05 | 47 |