EEG Classification on FACED
56.95Binary AccuracyCBraMod-MTDP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 56.95 | 51.29 | 57.35 | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 56.57 | 50.74 | 56.51 | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 55.34 | 49.54 | 55.63 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 55.09 | 50.41 | 56.18 | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 52.73 | 46.98 | 52.88 | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 51.18 | 44.76 | 51.36 | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 48.87 | 42.31 | 48.84 | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 48.1 | 41.37 | 47.95 | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 46.97 | 40.17 | 47.2 | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 46.73 | 39.78 | 47.29 | |
| FFCLPretrain Dataset (Hours)=02026.03 | 46.73 | 39.87 | 46.99 | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 45.59 | 38.58 | 45.14 | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 40.9 | 33.42 | 41.24 |