SAMM
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Micro-expression recognition | SAMM | UF188.35 | 58 | |
| Micro-expression recognition | SAMM 5-class | Accuracy84.75 | 28 | |
| Micro-expression Recognition | SAMM | F1 Score (Micro)74.7 | 22 | |
| Micro-expression recognition | SAMM 3-class | Unweighted F1 Score (UF1)89 | 20 | |
| Facial expression spotting | SAMM-LV | ME F1-score42.81 | 15 | |
| Micro-expression recognition | SAMM (LOSO) | UF181.31 | 13 | |
| Micro-Expression Action Unit Detection | SAMM (LOSO) | AU2 Score70.6 | 12 | |
| Binary Classification | SAMM (original image reference gallery) | AUC99.83 | 7 | |
| Micro-expression Action Unit Detection | SAMM | F1 Score73 | 7 | |
| Text Grounding | SAMM (original image reference gallery) | Precision87.25 | 6 | |
| Image Grounding | SAMM (original image reference gallery) | IoU (m)82.69 | 6 | |
| Multi-Label Classification | SAMM (original image reference gallery) | mAP99.56 | 6 | |
| 3D Facial Reconstruction | SAMM | L1 Loss0.06 | 5 | |
| Micro-expression Recognition | SAMM | Accuracy (ACC)56.86 | 5 |
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