Image Classification on VTAB-1K few-shot benchmark leaderboard · SOTA2 Research

Image Classification on VTAB-1K few-shot

93.34Caltech101 AccuracyFull-Tune

Evaluation Results

Method	Links
Full-Tune2026.04		93.34	76.03	75.74	99.88	93.72	59.06	68.7	86.7	82.84	93.54	82.22	55.42	60.33	48.23	83.62	52.77	78.06	30.4	29.95	71.08
AP2026.04		91.4	64.4	72.61	99.5	91.46	56.67	49.43	81.41	82.76	93.14	71.99	43.26	38.09	40.57	42.44	31.83	65.4	18.29	25.96	61.06
Norm-Tune2026.04		91.1	65.2	72.36	98.64	91.38	55.14	47.21	82.5	82.34	93.94	71.74	42.83	44.59	41.21	35.64	32.08	63.43	16.52	24.12	60.68
VP2026.04		90.06	63.16	71.59	95.35	91.2	54.45	46.26	81.82	81.45	92.25	71.03	41.03	45.49	39.94	32.52	30.29	62.68	15.59	23.13	59.96
Full-Tune2026.04		89.99	45.17	63.78	84.29	89.82	41.09	67.79	84.92	74.57	91.37	74.14	58.11	60.99	43.61	67.05	40.45	78.34	33.64	36.38	64.5
Linear-Probe2026.04		89.37	62.98	70.02	93.42	91.22	53.68	45.28	80.52	80.34	91.64	70.43	38.15	35.26	40.74	21.84	29.42	62.54	14.59	23.09	57.6
AP2026.04		87.49	39.8	63.62	81.44	88.74	34.83	65.92	78.91	74.19	91.44	71.18	40.2	55.26	38.95	54.68	21.98	72.86	26.24	28.77	58.76
Norm-Tune2026.04		85.61	35.78	47.71	56.64	78.1	10.1	68.67	83.16	61.1	90.5	72.44	37.54	55.24	40.04	60.89	20.33	65.54	24.86	25.96	53.7
VP2026.04		84.73	43.01	57.55	76.91	87.03	28.75	55.47	75.15	70.27	89.26	69.08	36.7	54.24	34.48	42.41	20.32	63.71	17.93	26.93	54.42
Linear-Probe2026.04		83.87	39.13	53.09	70.89	85.15	28.14	43.44	78.65	69.43	90.78	69.31	35.91	36.48	35.75	34.76	19.51	65.68	16.91	23.39	51.12