Motor Imagery Classification on SHU-MI
64.03Balanced AccuracyCBraMod
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod2025.09 | 64.03 | 23.84 | — | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 63.78 | 71.58 | 70.52 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 63.7 | 71.39 | 69.88 | |
| LaBraM2025.09 | 63.38 | 23.38 | — | |
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 62.84 | 71.11 | 69.07 | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 62.75 | 68.84 | 68.86 | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 61.79 | 67.7 | 66.09 | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 61.66 | 67.61 | 66.04 | |
| LEAF2025.09 | 61.34 | 22.67 | — | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 59.92 | 63.94 | 64.31 | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 59.78 | 65.1 | 64.31 | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 59.75 | 64.12 | 63.23 | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 59 | 63.7 | 63.51 | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 58.89 | 63.11 | 62.83 | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 58.73 | 63.15 | 62.73 | |
| Conformer2025.09 | 57.8 | 15.91 | — | |
| STTran.2025.09 | 57.14 | 21.91 | — | |
| FFCLPretrain Dataset (Hours)=02026.03 | 56.92 | 59.43 | 60.14 | |
| EEGNet2025.09 | 56.65 | 19.76 | — | |
| BIOT2025.09 | 55.87 | 21.51 | — | |
| TScep.2025.09 | 55.64 | 20.47 | — | |
| EEGPT2025.09 | 52.28 | 16.57 | — |