Motor Imagery Classification on SHU-MI (test)
63.78Balanced AccuracyCBraMod-MTDP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining dataset size=25%, Fine-tuning=true2026.03 | 63.78 | 71.58 | 70.52 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining dataset size=100%, Fine-tuning=true2026.03 | 63.7 | 71.39 | 69.88 | |
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining dataset size=100%, Fine-tuning=true2026.03 | 62.84 | 71.11 | 69.07 | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining dataset size=25%, Fine-tuning=true2026.03 | 62.75 | 68.84 | 68.86 | |
| BIOTPretrain Dataset (Hours)=122, Fine-tuning=true2026.03 | 61.79 | 67.7 | 66.09 | |
| LaBraMPretrain Dataset (Hours)=2500, Fine-tuning=true2026.03 | 61.66 | 67.61 | 66.04 |