FER
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | FER 2013 | Top-1 Acc0.998 | 67 | |
| Facial expression recognition | FER 2013 (test) | Accuracy Rate79.79 | 61 | |
| Facial Expression Recognition | FER Private 2013 (test) | Accuracy73.475 | 12 | |
| Facial Expression Recognition | FER2013 | mAP73 | 10 | |
| Facial Expression Recognition | FER Public 2013 (test) | Accuracy72.05 | 10 | |
| Expression Recognition | FER 2013 | Accuracy80 | 8 | |
| Binary Classification | fer | Mean AUC0.7641 | 7 | |
| Expression Recognition | FER 2013 | F1 Score76 | 7 | |
| Facial Expression Recognition | FER2013Plus | Accuracy78.35 | 6 | |
| Image Classification | FER2013 | Balanced Accuracy69.13 | 6 | |
| Image Classification | FER 2013 | Donor Best Top-1 Accuracy Change33.01 | 1 | |
| Facial Expression Recognition | FER20E | mAP92 | 1 |
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