Motor Imagery Classification on BCIC-IV-2a (test)
59.81Balanced AccuracyCBraMod-MTDP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining dataset size=100%, Fine-tuning=true2026.03 | 59.81 | 46.41 | 59.11 | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining dataset size=25%, Fine-tuning=true2026.03 | 59.63 | 46.18 | 58.81 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining dataset size=100%, Fine-tuning=true2026.03 | 51.38 | 35.18 | 49.84 | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining dataset size=25%, Fine-tuning=true2026.03 | 49.31 | 32.41 | 48.74 | |
| LaBraMPretrain Dataset (Hours)=2500, Fine-tuning=true2026.03 | 48.69 | 31.59 | 47.58 | |
| BIOTPretrain Dataset (Hours)=122, Fine-tuning=true2026.03 | 47.48 | 29.97 | 46.07 |