Image Classification on 13 Transfer Learning Datasets (val) benchmark leaderboard · SOTA2 Research

Image Classification on 13 Transfer Learning Datasets (val)

48.6Aircraft AccuracyDINO + DILEMMA

Evaluation Results

Method	Links
DINO + DILEMMA2022.04		48.6	89.66	50.85	93.39	78.85	68.3	95.38	75.48	53.71	86.54	97.41	71.47	64	74.82
DINO + DILEMMA2022.04		46.95	89.58	49.04	92.46	77.22	67.5	95.2	74.9	52.51	85.91	97.06	70.01	62.87	73.93
DINO + Sparsity2022.04		46.83	89.16	48.45	92.47	77	68.4	94.7	74.97	51.32	85.45	96.85	66.65	61.9	73.4
MoCoV3 + DILEMMA2022.04		46.02	90.29	43.44	94.2	80.05	65.37	94.47	74.1	44.13	88.53	96.75	66.3	64.9	72.97
DINO2022.04		45.66	88.3	47.07	90.61	74.06	66.22	94.54	73	47.36	85.83	96.62	53.74	59.9	70.99
MoCoV3 + Sparsity2022.04		44.64	89.89	40.21	93.53	78.88	65.48	94.21	72.96	42.84	88.93	96.9	64.52	63.24	72.02
MoCoV3 + DILEMMA2022.04		44.43	89.55	42.32	93.03	77.56	64.47	93.41	71.94	43.76	85.88	96.08	65.41	63.76	71.66
MoCoV3 + Sparsity2022.04		43.29	89.25	40.14	92.28	77.3	65.05	93.25	71.39	42.38	86.35	96.09	64.6	62.29	71.05
MoCoV32022.04		38.7	87.35	28.72	91.97	75.09	64.63	91.67	67.97	33.3	84.63	95.76	64.56	56.41	67.75
MoCoV32022.04		16.29	60.79	5.88	31.36	13.96	50.59	60.51	31.64	18.12	53.34	70.61	20.02	15.25	34.49