| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Facial Expression Recognition | AffectNet 7-way (test) | Accuracy72.93 | 91 | |
| Facial Expression Recognition | AffectNet 8-way (test) | Accuracy64.4 | 65 | |
| Facial Expression Recognition | AffectNet (test) | Accuracy73.68 | 28 | |
| Emotion recognition | AffectNet 7 classes (test val) | Accuracy66.34 | 25 | |
| Facial Expression Recognition | AffectNet | Accuracy63.57 | 25 | |
| Facial Expression Recognition | AffectNet 7 classes | Accuracy65.69 | 23 | |
| Emotion recognition | AffectNet 8 classes (test val) | Accuracy62.42 | 20 | |
| Expression Classification | AffectNet (val) | Average Accuracy82 | 20 | |
| Facial Expression Recognition | AffectNet 7 cls (val) | Accuracy67.49 | 15 | |
| Expression Classification | AffectNet (test) | Total Accuracy63.11 | 13 | |
| Facial Emotion Recognition | AffectNet original (val) | Accuracy63.77 | 12 | |
| Facial Expression Recognition | AffectNet 10000 labels | Accuracy60.12 | 11 | |
| Facial Expression Recognition | AffectNet 2000 labels | Accuracy54.91 | 11 | |
| Static Facial Expression Recognition | AffectNet 7-class (test) | Accuracy67.62 | 10 | |
| Emotion Recognition | AffectNet v1 (test) | Valence CCC0.77 | 9 | |
| Expression Classification | AffectNet 59 (test) | Accuracy69 | 9 | |
| Valence-Arousal Estimation | AffectNet 59 (test) | Valence PCC0.78 | 9 | |
| Facial Expression Recognition | AffectNet | mAP0.648 | 8 | |
| Facial Expression Recognition | AffectNet 8 cls (val) | Accuracy63.77 | 7 | |
| Dimensional Facial Expression Recognition | AffectNet | RMSE (V)0.209 | 7 | |
| Valence-Arousal Estimation | AffectNet | CCC (Valence)0.61 | 7 | |
| Expression Recognition | AffectNet | F1 Score58 | 7 | |
| Facial expression recognition | AffectNet (val) | Accuracy61.6 | 6 | |
| Compound Emotion Generation | AffectNet Expert User Study | Happy-Disgust Rating3.51 | 6 | |
| Continuous Affect Perception | AffectNet (test val) | RMSE (Arousal)0.33 | 6 |