EEG Classification on SEED-V 5-Class (ACC-B, Kappa, F1-W)
47.18Balanced Accuracy (ACC-B)NeuroOnline***
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| NeuroOnline***Foundation Model=BIOT2026.07 | 47.18 | 35.29 | 48.45 | |
| BrainPro2025.09 | 40.78 | 26.12 | 41.15 | |
| LaBraM2025.09 | 39.86 | 24.91 | 40.4 | |
| CBraMod2025.09 | 39.6 | 25.21 | 40.5 | |
| NeuroOnline.aFoundation Model=BIOT2026.07 | 38.28 | 24.3 | 39.76 | |
| off-FT-MLPFoundation Model=BIOT, Adaptation Strategy=Fine-Tuning, Classifier Head=MLP2026.07 | 36.17 | 20.27 | 36.8 | |
| BIOT2025.09 | 35.75 | 19.71 | 36.36 | |
| off-FT-LINFoundation Model=BIOT, Adaptation Strategy=Fine-Tuning, Classifier Head=LIN2026.07 | 35.47 | 19.4 | 35.98 | |
| off-LoRA-MLPFoundation Model=BIOT, Adaptation Strategy=LoRA, Classifier Head=MLP2026.07 | 34.39 | 17.91 | 34.83 | |
| off-LoRA-LINFoundation Model=BIOT, Adaptation Strategy=LoRA, Classifier Head=LIN2026.07 | 34.13 | 17.79 | 34.74 | |
| Conformer2025.09 | 30.87 | 12.94 | 28.37 | |
| EEGPT2025.09 | 24.21 | 5.57 | 24.38 | |
| EEGNet2025.09 | 24.08 | 5.36 | 19.08 |