Motor Imagery Decoding on BCI Competition IV 2a I (cross-subject) benchmark leaderboard · SOTA2 Research

Motor Imagery Decoding on BCI Competition IV 2a I (cross-subject)

86.17Average AccuracyBFM-MSDA

Evaluation Results

Method	Links
BFM-MSDA2025.07		86.17	83.19	76.53	91.74	83.26	89.37	81.46	92.5	90.14	87.29	0.7233
DJDAN2025.07		84.18	81.25	76.39	92.36	78.47	81.25	88.19	92.36	82.64	84.72	0.6836
DJP-MMD2025.07		84.11	79.78	72.22	89.58	81.94	85.42	83.33	88.89	89.58	86.28	0.6823
GAT2025.07		83.81	82.42	75.69	93.06	82.78	88.28	82.64	82.06	85.42	81.94	0.6762
JAN2025.07		83.21	79.69	76.32	84.25	75.69	86.81	84.72	89.19	90.28	81.94	0.6642
ASJDA2025.07		83.02	72.22	74.61	89.58	78.08	82.64	86.81	85.42	90.97	86.81	0.6603
Conformer2025.07		80.75	81.59	68.53	88.07	82.04	74.68	78.54	86.97	82.59	83.74	0.615
ShallowConvNet2025.07		80.15	75.73	74.89	78.47	76.39	81.25	87.43	87.5	83.33	76.39	0.6031
EEGNet2025.07		77.93	72.92	64.58	79.17	78.47	86.11	74.31	83.33	79.86	82.64	0.5586
EVA-Net2026.06		71.25	—	—	—	—	—	—	—	—	—	—
CBraMod w/ Linear2025.07		67.92	72.32	59.38	68.97	64.92	66.81	69.43	71.87	69.35	68.24	0.3584
EEGCCT2026.06		67.9	—	—	—	—	—	—	—	—	—	—
LaBraM w/ Linear2025.07		64.77	65.38	58.17	70.19	65.81	59.76	65.26	69.81	65.71	62.87	0.2955
MSVTNet2026.06		64.1	—	—	—	—	—	—	—	—	—	—
EEGNet2026.06		63.44	—	—	—	—	—	—	—	—	—	—
EEG Conformer2026.06		60.7	—	—	—	—	—	—	—	—	—	—
ShallowConvNet2026.06		59.43	—	—	—	—	—	—	—	—	—	—