Hybrid MI-SSVEP Classification on OpenBMI benchmark leaderboard · SOTA2 Research

Hybrid MI-SSVEP Classification on OpenBMI

64.92AccuracySwitchBraidNet

Evaluation Results

Method	Links
SwitchBraidNet2026.06		64.92	64.73	0.6	32.41	64.82
SwitchBraidNet2026.06		64.81	64.73	0.6	32.29	64.58
EEGNet2026.06		64.69	64.68	0.6	32.16	64.32
SwitchBraidNet2026.06		64.56	64.38	0.6	32.02	64.04
EEGNet2026.06		64.35	64.17	0.59	31.79	63.58
DeepConvNet2026.06		64.12	63.84	0.59	31.53	63.05
DeepConvNet2026.06		63.99	63.38	0.59	31.39	62.78
DeepConvNet2026.06		63.77	63.74	0.59	31.14	62.29
EEGNet2026.06		63.73	63.73	0.59	31.11	62.22
TSception2026.06		60.79	60.77	0.55	28	55.99
TSception2026.06		60.61	60.56	0.55	27.81	55.62
TSception2026.06		60.01	60.01	0.54	27.2	54.4
ShallowConvNet2026.06		59.25	59.08	0.53	26.42	52.85
ShallowConvNet2026.06		59.2	59.21	0.53	26.38	52.75
ShallowConvNet2026.06		52.96	51.76	0.46	20.46	40.91