Motor Imagery on Shin A 2017 benchmark leaderboard · SOTA2 Research

Motor Imagery on Shin A 2017

72.56Balanced AccuracyLEAF

Evaluation Results

Method	Links
LEAF2025.09		72.56	0.4811
EEGNet2025.09		70.54	0.4521
CBraMod2025.09		68.61	0.3689
LaBraM2025.09		67.44	0.3607
Conformer2025.09		64.64	0.2901
STTran.2025.09		61.68	0.2371
TScep.2025.09		59.92	0.1891
BIOT2025.09		54.22	0.0909
EEGPT2025.09		53.89	0.0688