Facial Expression Recognition on RAF-DB
93.61AccuracyLaCoVL-FER
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LaCoVL-FERYear=2026, Vision Backbone=CLIP-ViT-B/162026.05 | 93.61 | — | — | |
| FMAEContrastive=false, MIM=true2024.07 | 93.45 | — | — | |
| MMPL-FERYear=IF26, Vision Backbone=CLIP-ViT-B/322026.05 | 93.28 | — | — | |
| TPRDYear=TAC25, Vision Backbone=CLIP-ViT-B/162026.05 | 92.89 | — | — | |
| DCSYear=AAAI25, Vision Backbone=IR50+ViT2026.05 | 92.57 | — | — | |
| ICoCOYear=TAC26, Vision Backbone=CLIP-ViT-B/162026.05 | 92.57 | — | — | |
| QCSYear=AAAI25, Vision Backbone=IR50+ViT2026.05 | 92.5 | — | — | |
| ARBEx2023.05 | 92.47 | — | — | |
| CEPromptYear=TCSVT24, Vision Backbone=CLIP-ViT-B/162026.05 | 92.43 | — | — | |
| POSTER++2023.05 | 92.21 | — | — | |
| POSTER++Year=PR25, Vision Backbone=IR50+ViT2026.05 | 92.21 | — | — | |
| VLCAYear=ESWA25, Vision Backbone=CLIP-ViT-B/322026.05 | 92.12 | — | — | |
| POSTER2023.05 | 92.05 | — | — | |
| POSTERYear=ICCV23, Vision Backbone=IR50+ViT2026.05 | 92.05 | — | — | |
| APViTYear=TAC22, Vision Backbone=IR50+ViT-S2026.05 | 91.98 | — | — | |
| LA-NetContrastive=true, MIM=false2024.07 | 91.78 | — | — | |
| AUNetYear=KBS26, Vision Backbone=ResNet-182026.05 | 91.75 | — | — | |
| CLIPERYear=ICME24, Vision Backbone=CLIP-ViT-B/162026.05 | 91.61 | — | — | |
| ExpLLMYear=TMM25, Vision Backbone=ViT-L/142026.05 | 91.03 | — | — | |
| TransFERYear=ICCV21, Vision Backbone=IR50+ViT-S2026.05 | 90.91 | — | — | |
| FG-AGRYear=TCSVT23, Vision Backbone=ResNet-182026.05 | 90.81 | — | — | |
| FRAContrastive=true, MIM=false2024.07 | 90.76 | — | — | |
| PIDVITYear=TAC22, Vision Backbone=ViT2026.05 | 90.71 | — | — | |
| SOFTYear=ECCV22, Vision Backbone=ResNet-182026.05 | 90.42 | — | — | |
| CLEFContrastive=true, MIM=false2024.07 | 90.09 | — | — | |
| NHGYear=PR26, Vision Backbone=ResNet-182026.05 | 90.09 | — | — | |
| Age Guided AttentionMethodology=Age Guided Attention2026.05 | 90.09 | — | — | |
| MRANYear=TCSVT23, Vision Backbone=ResNet-182026.05 | 90.03 | — | — | |
| EACBackbone=ResNet-182022.07 | 89.99 | — | — | |
| EACYear=ECCV22, Vision Backbone=ResNet-182026.05 | 89.99 | — | — | |
| FDRL2021.04 | 89.47 | — | — | |
| AMGSNYear=PR26, Vision Backbone=ViT-B/162026.05 | 89.34 | — | — | |
| CMNet2026.05 | 89.11 | — | — | |
| RUL2022.07 | 88.98 | — | — | |
| RUL2023.05 | 88.98 | — | — | |
| DMUE2022.07 | 88.76 | — | — | |
| DMUEBackbone=ResNet-182026.05 | 88.76 | — | — | |
| DMUEYear=CVPR21, Vision Backbone=ResNet-182026.05 | 88.76 | — | — | |
| Meta-Face2Exp2026.05 | 88.54 | — | — | |
| MA-Net2026.05 | 88.4 | — | — | |
| EfficientFace2023.05 | 88.36 | — | — | |
| EfficientFace2026.05 | 88.36 | — | — | |
| EfficientFaceYear=AAAI21, Vision Backbone=ResNet-502026.05 | 88.36 | — | — | |
| FaRLContrastive=true, MIM=true2024.07 | 88.31 | — | — | |
| Baseline+BPT2026.05 | 88.23 | — | — | |
| SCN2026.05 | 88.14 | — | — | |
| VTFF2026.05 | 88.14 | — | — | |
| VTFFYear=TAC21, Vision Backbone=ResNet18+ViT-B2026.05 | 88.14 | — | — | |
| KTN2022.07 | 88.07 | — | — | |
| KTN2026.05 | 88.07 | — | — | |
| EAC (Ours)Noise (%)=10, Backbone=ResNet-182022.07 | 88.02 | — | — | |
| DACL2022.07 | 87.78 | — | — | |
| DDL2021.04 | 87.71 | — | — | |
| TDF-FER2026.05 | 87.68 | — | — | |
| MixAugment + FlippingPre-training=AffectNet, Backbone=ResNet-502022.05 | 87.54 | 77.3 | — | |
| PCARNet2026.05 | 87.52 | — | — | |
| TMKD2026.03 | 87.45 | — | — | |
| DENet2026.05 | 87.35 | — | — | |
| ViT+SE2026.05 | 87.22 | — | — | |
| SCN2022.07 | 87.03 | — | — | |
| SCN2023.05 | 87.03 | — | — | |
| SCNYear=CVPR20, Vision Backbone=ResNet-182026.05 | 87.03 | — | — | |
| SCN2021.04 | 87.01 | — | — | |
| SPDNet2021.04 | 87 | — | — | |
| Ad-Corre2022.05 | 86.96 | — | — | |
| Teacherrole=teacher2026.03 | 86.96 | — | — | |
| RKD2026.03 | 86.96 | — | — | |
| Baseline2021.04 | 86.93 | — | — | |
| RAN2021.04 | 86.9 | — | — | |
| RAN2022.05 | 86.9 | — | — | |
| RAN2022.07 | 86.9 | — | — | |
| RAN2023.05 | 86.9 | — | — | |
| RAN2026.05 | 86.9 | — | — | |
| RANYear=TIP20, Vision Backbone=ResNet-182026.05 | 86.9 | — | — | |
| MCFContrastive=true, MIM=false2024.07 | 86.86 | — | — | |
| CERN2026.05 | 86.82 | — | — | |
| IPA2LT2021.04 | 86.77 | — | — | |
| IPA2LTTraining protocol=trained with both AffectNet and RAF-DB2022.07 | 86.77 | — | — | |
| IPA2LT2026.05 | 86.77 | — | — | |
| TeKAP2026.03 | 86.31 | — | — | |
| RUL (NeurIPS21)Noise (%)=10, Backbone=ResNet-182022.07 | 86.17 | — | — | |
| EAC (Ours)Noise (%)=20, Backbone=ResNet-182022.07 | 86.05 | — | — | |
| LightExNet2026.05 | 85.97 | — | — | |
| KD2026.03 | 85.49 | — | — | |
| CATKD2026.03 | 84.68 | — | — | |
| SP2026.03 | 84.64 | — | — | |
| EAC (Ours)Noise (%)=30, Backbone=ResNet-182022.07 | 84.42 | — | — | |
| RUL (NeurIPS21)Noise (%)=20, Backbone=ResNet-182022.07 | 84.32 | — | — | |
| DLP-CNN2021.04 | 84.13 | — | — | |
| Fully SupervisedNumber of labels=Full dataset (approx. 12k), Backbone=ResNet-18, Pre-training=MS-Celeb-1M2026.01 | 84.13 | — | — | |
| SCN (CVPR20)Noise (%)=10, Backbone=ResNet-182022.07 | 82.15 | — | — | |
| RUL (NeurIPS21)Noise (%)=30, Backbone=ResNet-182022.07 | 82.06 | — | — | |
| Studentrole=student2026.03 | 81.88 | — | — | |
| BaselineNoise (%)=10, Backbone=ResNet-182022.07 | 81.01 | — | — | |
| SCN (CVPR20)Noise (%)=20, Backbone=ResNet-182022.07 | 79.79 | — | — | |
| BaselineNoise (%)=20, Backbone=ResNet-182022.07 | 77.98 | — | — | |
| SCN (CVPR20)Noise (%)=30, Backbone=ResNet-182022.07 | 77.45 | — | — | |
| BaselineNoise (%)=30, Backbone=ResNet-182022.07 | 75.5 | — | — | |
| Single modelModel configuration=single model, Evaluation protocol=transfer learning2026.06 | 71 | — | 0.218 | |
| EnsembleModel configuration=ensemble, Evaluation protocol=transfer learning2026.06 | — | — | 0.146 |