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Benchmarks
Motor Imagery Classification on SHU dataset (averaged across all sessions and subjects)
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58.9
Accuracy
EEG-MFTNet
53.492
54.896
56.3
57.704
Apr 7, 2026
Accuracy
Updated 11d ago
Evaluation Results
Method
Method
Links
Accuracy
EEG-MFTNet
Parameters=16,096, Lat...
2026.04
58.9
AA-EEGNet
Parameters=517,498, La...
2026.04
54.8
EEG-GENet
Parameters=7,146, Late...
2026.04
54.7
EEGNet
Parameters=3,274, Late...
2026.04
53.7
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