Motor Imagery Classification on Physionet-MI
64.57Balanced AccuracyCBraMod-MTDP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 64.57 | 52.75 | 64.7 | — | |
| SpecMoEModel Category=Foundation Models2026.03 | 64.44 | — | — | — | |
| SpecMoE# Params=4.3 M, Model Type=Foundation Models2026.03 | 64.44 | — | — | 64.76 | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 64.17 | 52.22 | 64.27 | — | |
| CSBrainModel Category=Foundation Models2026.03 | 63.04 | — | — | — | |
| CSBrain# Params=38.2 M, Model Type=Foundation Models2026.03 | 63.04 | — | — | 63.08 | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 62.74 | 50.31 | 62.68 | — | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 61.83 | 49.12 | 61.91 | — | |
| CBramodModel Category=Foundation Models2026.03 | 61.74 | — | — | — | |
| CBramod# Params=34.2 M, Model Type=Foundation Models2026.03 | 61.74 | — | — | 61.79 | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 61.73 | 49.12 | 61.77 | — | |
| LaBraMModel Category=Task-Specific Models2026.03 | 61.73 | — | — | — | |
| LaBraM# Params=5.8 M, Model Type=Foundation Models2026.03 | 61.73 | — | — | 61.77 | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 61.53 | 48.75 | 61.58 | — | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 60.53 | 47.25 | 60.41 | — | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 60.49 | 47.36 | 60.62 | — | |
| EEGConfModel Category=Task-Specific Models2026.03 | 60.49 | — | — | — | |
| EEGConf# Params=—, Model Type=Task-Specific Models2026.03 | 60.49 | — | — | 60.62 | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 60.35 | 47.12 | 60.53 | — | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 59.32 | 45.64 | 59.37 | — | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 58.92 | 45.27 | 59.18 | — | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 58.14 | 44.68 | 57.96 | — | |
| EEGNetModel Category=Task-Specific Models2026.03 | 58.14 | — | — | — | |
| EEGNet# Params=—, Model Type=Task-Specific Models2026.03 | 58.14 | — | — | 57.96 | |
| FFCLPretrain Dataset (Hours)=02026.03 | 57.26 | 43.23 | 57.01 | — | |
| FFCLModel Category=Task-Specific Models2026.03 | 57.26 | — | — | — | |
| FFCL# Params=—, Model Type=Task-Specific Models2026.03 | 57.26 | — | — | 57.01 |