EEG Event Classification on TUEV
66.59Balanced AccuracyCBraMod 100%
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CBraMod 100%Pretrain Dataset (Hours)=90002026.03 | 66.59 | 67.44 | 83.31 | |
| CBraMod-MTDP 25%Pretrain Dataset (Hours)=22502026.03 | 66.45 | 70.07 | 84.38 | |
| LaBraM-GBWAttBackbone foundation model=LaBraM, Attention mechanism variant=GBWAtt2026.06 | 65.04 | — | — | |
| CBraMod-MTDP 100%Pretrain Dataset (Hours)=90002026.03 | 64.88 | 71.03 | 84.65 | |
| CBraMod 25%Pretrain Dataset (Hours)=22502026.03 | 64.21 | 64.09 | 81.25 | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 64.09 | 66.37 | 83.12 | |
| LaBraM-BaseBackbone foundation model=LaBraM, Attention mechanism variant=Base2026.06 | 64.09 | — | — | |
| LaBraM-MAttBackbone foundation model=LaBraM, Attention mechanism variant=MAtt2026.06 | 63.56 | — | — | |
| BIOT-GBWAttBackbone foundation model=BIOT, Attention mechanism variant=GBWAtt2026.06 | 53.62 | — | — | |
| BIOT-MAttBackbone foundation model=BIOT, Attention mechanism variant=MAtt2026.06 | 53.04 | — | — | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 52.81 | 52.73 | 74.92 | |
| BIOT-BaseBackbone foundation model=BIOT, Attention mechanism variant=Base2026.06 | 52.81 | — | — | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 43.84 | 39.12 | 68.93 | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 41.61 | 42.33 | 70.24 | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 40.87 | 38.15 | 68.54 | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 40.74 | 39.67 | 69.83 | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 39.84 | 37.65 | 68.23 | |
| FFCLPretrain Dataset (Hours)=02026.03 | 39.79 | 37.32 | 67.83 | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 38.76 | 35.77 | 65.39 |