| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| RAF-DB (test) | PAtt-Lite | Accuracy95.05 | 180 | 4d ago | |
| FERPlus (test) | PAtt-Lite | Accuracy0.9555 | 100 | 4d ago | |
| AffectNet 7-way (test) | ResEmoteNet | Accuracy72.93 | 91 | 4d ago | |
| CK+ | Accuracy100 | 72 | 4d ago | ||
| AffectNet 8-way (test) | DCS | Accuracy64.4 | 65 | 4d ago | |
| FER 2013 (test) | ResEmoteNet | Accuracy Rate79.79 | 61 | 2d ago | |
| RAF-DB | FMAE | Accuracy93.45 | 45 | 4d ago | |
| JAFFE | POSTER | Accuracy96.67 | 36 | 4d ago | |
| AFEW (test) | ARPGNet | Accuracy60.05 | 35 | 4d ago | |
| AffWild2 (test) | GReFEL | Accuracy72.48 | 33 | 4d ago | |
| SFEW 2.0 (val) | APVIT | Accuracy61.92 | 31 | 4d ago | |
| FERPlus | ARBEx | Accuracy93.09 | 29 | 4d ago | |
| AffectNet (test) | Norface | Accuracy73.68 | 28 | 4d ago | |
| ExpW | APViT | Accuracy73.48 | 27 | 4d ago | |
| SFEW 2.0 | Accuracy58.5 | 27 | 4d ago | ||
| AffectNet | CPG | Accuracy63.57 | 25 | 4d ago | |
| AffectNet 7 classes | DAN | Accuracy65.69 | 23 | 4d ago | |
| AFEW 8.0 (test) | Noisy Student Training | Accuracy55.17 | 20 | 4d ago | |
| RAF-DB 1.0 (test) | APViT | Accuracy91.98 | 18 | 4d ago | |
| MMI | FDRL | Accuracy85.23 | 18 | 4d ago | |
| SFEW (val) | Covariance Pooling | Accuracy58.1 | 18 | 4d ago | |
| FERG (test) | Deep-Emotion | Accuracy99.3 | 18 | 4d ago | |
| RML (test) | ARPGNet | Accuracy76.53 | 17 | 4d ago | |
| OuluCASIA | Accuracy89.6 | 17 | 4d ago | ||
| AffectNet 7 cls (val) | POSTER++ | Accuracy67.49 | 15 | 4d ago |
