EEG Classification on BCIC 3 2020
62.62Balanced AccuracySpecMoE
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SpecMoEModel Category=Foundation Models2026.03 | 62.62 | — | — | |
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 62.53 | 53.17 | 62.57 | |
| CSBrainModel Category=Foundation Models2026.03 | 60.04 | — | — | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 59.87 | 49.83 | 59.91 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 53.73 | 42.16 | 53.83 | |
| CBramodModel Category=Foundation Models2026.03 | 53.73 | — | — | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 50.6 | 38 | 50.54 | |
| LaBraMModel Category=Task-Specific Models2026.03 | 50.6 | — | — | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 49.2 | 36.5 | 49.17 | |
| FFCLPretrain Dataset (Hours)=02026.03 | 46.78 | 33.01 | 46.89 | |
| FFCLModel Category=Task-Specific Models2026.03 | 46.78 | — | — | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 45.33 | 31.66 | 45.06 | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 45.06 | 31.33 | 44.88 | |
| EEGConfModel Category=Task-Specific Models2026.03 | 45.06 | — | — | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 44.26 | 30.33 | 44.2 | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 44.13 | 30.16 | 44.13 | |
| EEGNetModel Category=Task-Specific Models2026.03 | 44.13 | — | — | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 44 | 30 | 44.03 | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 42.57 | 30.78 | 44.07 | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 41.26 | 29.41 | 42.47 |