Table 1.
Comparison between our proposed model (CCST) and previous models.
| Model | Architecture | Self-attention type | Subject-independent performance |
Computational cost |
|---|---|---|---|---|
| TCN28 | Temporal CNN | None | Moderate | Low |
| TIDNet31 | Deep CNN | None | Low | High |
| EEGNet9 | CNN | None | High | Moderate |
| DeepConvNet30 | Deep CNN | None | Low | High |
| Conformer21 | CNN + Transformer | Global | Moderate | High |
| ShallowConvNet30 | Shallow CNN | None | Moderate | Low |
| MSCFormer51 | CNN + Transformer | Yes | High | Low |
| TCANet49 | TCN + Transformer | Yes | High | Moderate |
| CTNet50 | CNN + Transformer | Yes | High | Moderate |
| EEGInception32 | CNN | None | Low | Very high |
| CCST (Proposed) | Swin Transformer | Local Windowed | High | Low |