| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| SEED | EEG-CSANet | Accuracy96.03 | 34 | 3d ago | |
| SEED-IV (Subject-independent) | Neuro-HGLN | Accuracy79.3 | 28 | 3d ago | |
| SEED Subject-independent | Neuro-HGLN | Accuracy90.92 | 28 | 3d ago | |
| SEED (subject-dependent) | RGNN | Accuracy94.24 | 20 | 3d ago | |
| MPED (Subject-independent) | Neuro-HGLN | Accuracy28.56 | 18 | 3d ago | |
| SEED V (subject-independent) | Neuro-HGLN | Accuracy78.34 | 15 | 3d ago | |
| DEAP Valence | FAT | Accuracy90.1 | 14 | 3d ago | |
| SEED-IV (subject-dependent) | BiHDM | Accuracy0.7435 | 13 | 3d ago | |
| MPED subject-dependent | BiHDM | Accuracy40.34 | 12 | 3d ago | |
| SEED VII (subject-independent) | FAT (ours) | Accuracy51.12 | 9 | 3d ago | |
| SEED VII | FAT | Accuracy61.3 | 9 | 3d ago | |
| SEED V | FAT | Accuracy84.57 | 9 | 3d ago | |
| SEED IV | FAT | Accuracy82.3 | 9 | 3d ago | |
| DEAP | MCA & 3D-CNN | Valence Score99.49 | 5 | 3d ago |
