RAF-DB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Facial Expression Recognition | RAF-DB (test) | Accuracy95.05 | 184 | |
| Facial Expression Recognition | RAF-DB | Accuracy93.61 | 99 | |
| Image Classification | RAF-DB | Top-1 Accuracy73.8 | 19 | |
| Facial Expression Recognition | RAF-DB 1.0 (test) | Accuracy91.98 | 18 | |
| Facial Expression Recognition | RAF-DB B | Accuracy92.21 | 16 | |
| Facial Expression Recognition | RAF-DB Compound | Accuracy68.18 | 12 | |
| Machine Unlearning | RAF-DB (test) | Accuracy (Retained)85.1 | 12 | |
| Machine Unlearning | RAF-DB (train) | Accuracy Retention100 | 12 | |
| Facial Expression Recognition | RAF-DB Pose > 45 | Accuracy94.44 | 12 | |
| Facial Expression Recognition | RAF-DB Pose > 30 | Accuracy95.35 | 12 | |
| Facial Expression Recognition | RAF-DB Occlusion | Accuracy92.23 | 8 | |
| Expression Recognition | RAF-DB | F1 Score61 | 7 | |
| Compound emotion prediction | RAF-DB | Mean Diagonal Accuracy55.3 | 6 | |
| Emotion Classification | RAF-DB (test) | Accuracy0.73 | 4 | |
| Out-of-Distribution Detection | RAF-DB | AUROC53.8 | 1 |
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