200-way Zero-shot Classification on THINGS-EEG Subject-dependent (test) benchmark leaderboard · SOTA2 Research

200-way Zero-shot Classification on THINGS-EEG Subject-dependent (test)

48.5Top-1 Accuracy (Sub01)Neuroscience-inspired Staged Representation Learning

Evaluation Results

Method	Links
Neuroscience-inspired Staged Representation Learning2026.05		48.5	56	53.5	54	44	60	51.5	64	52.5	66	55	74	87.5	88	80	79.5	88	83	89	81.5	91	84.2
Wu et al.2026.05		41.2	51.2	51.2	51.1	42.2	57.5	49	58.6	45.1	61.5	50.9	70.5	80.9	82	76.9	72.8	83.5	79.9	85.8	76.2	88.2	79.7
Zhang et al. [29]2026.05		33	28	33.5	36	26	30.5	34	43	31.5	38.5	33.4	58.5	56.5	61	68	48	62.5	62.5	73.5	58.5	69	61.8
Chen et al.2026.05		32.6	34.4	38.7	39.8	29.4	34.5	34.5	49.3	39	39.8	37.2	63.7	69.9	73.5	72	58.6	68.8	68.3	79.8	69.6	75.3	69.9
Jing et al.2026.05		32.6	32.5	35	39.8	26.5	34.7	36.5	48.3	37.8	36.6	36	77.9	78.9	85.4	85.1	73.4	78.2	80.4	83.7	84	80.7	80.8
Shi et al.2026.05		32	25.5	34	37	22	27	28.5	43	26.5	30.5	30.6	63	59	69	57	46	47.5	59.5	74.5	57.5	66	59.9
Zhang et al. [30]2026.05		31.4	31.4	38.2	40.4	24.4	34.8	34.7	48.1	37.4	35.6	35.6	79.7	77.8	85.7	85.8	66.3	78.8	81	88.6	79.4	79.3	80.2
Multiview EEG representation learning framework2026.06		31	38.5	44	38.6	37	40	39	50.2	39.3	50.6	40.8	67.5	76.4	81.1	75.7	75	78.2	77	86.6	77.5	85.2	78
UBP2026.06		28.5	39	42.5	37	36	44	36	47	37.5	49.5	39.7	59.5	67	73.5	71.5	65.5	76.5	69	79.5	67	80.5	71
Li et al.2026.05		25.6	22	25	31.4	12.9	21.3	30.5	38.8	34.4	29.1	27.1	60.4	54.5	62.4	60.9	43	51.1	61.5	72	51.5	63.5	58.1
Song et al.2026.05		13.2	13.5	14.5	20.6	10.1	16.5	17	22.9	15.4	17.4	16.1	39.5	40.3	42.7	52.7	31.5	44	42.1	56.1	41.6	45.8	43.6
Du et al.2026.05		6.1	4.9	5.6	5	4	6	6.5	8.8	4.3	7	5.8	17.9	14.9	17.4	15.1	13.4	18.2	20.4	23.7	14	19.7	17.5