Motor Imagery classification on XW-Stroke (cross-subject)
66.56AccuracyPA-TCNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PA-TCNet2026.04 | 66.56 | 63.12 | 69.57 | 64.3 | 0.331 | |
| SSTDA2026.04 | 62.6 | 54.79 | 67.45 | 57.98 | 0.252 | |
| ShallowConvNet2026.04 | 62.29 | 65.42 | 62.32 | 62.68 | 0.246 | |
| IFNet2026.04 | 61.88 | 54.38 | 67.2 | 57.23 | 0.237 | |
| EEGConformer2026.04 | 61.67 | 65 | 62.83 | 61.68 | 0.233 | |
| EEGNet2026.04 | 61.56 | 61.87 | 62 | 61.11 | 0.231 | |
| DBConformer2026.04 | 61.15 | 62.29 | 67.49 | 58.45 | 0.223 | |
| SSAS2026.04 | 60.42 | 57.08 | 59.59 | 56.98 | 0.208 | |
| MSCFormer2026.04 | 58.96 | 61.88 | 61.87 | 56.89 | 0.179 | |
| SlimSeiz2026.04 | 58.75 | 53.12 | 63.41 | 53.7 | 0.175 | |
| UA-DANN2026.04 | 58.33 | 49.17 | 60.68 | 52.81 | 0.167 |