Image Classification on 20 Other Datasets benchmark leaderboard · SOTA2 Research

Image Classification on 20 Other Datasets

99.4CIFAR-10 AccuracyInternVL-C

Evaluation Results

Method	Links
InternVL-C2023.12		99.4	93.2	80.6	89.5	76	52.7	34.1	94.2	72	70.7	79.4	56.2	86.1	95.3	65.5	96	67.9	74.2	99.5	80	78.1
EVA-02-CLIP-E2023.12		99.3	92.5	76.7	89	76.5	47.9	34.7	94.4	56.3	68.2	77.6	55.1	82.5	95.2	67.1	95.6	61.1	73.5	99.2	83	76.3
EVA-02-CLIP-E+2023.12		99.3	93.1	74.7	90.5	75.1	54.1	35.7	94.6	58.1	68.2	75.8	58.6	84.5	94.9	67.7	95.8	61.4	75.6	99.2	85.6	77.1
EVA-01-CLIP-g+2023.12		99.1	90.1	71.8	88.1	74.3	39.4	30.8	90.7	52.6	67.3	73.2	56	79.7	93.7	66.5	94.8	58.6	71.4	99.5	82.9	74
EVA-02-CLIP-L+2023.12		98.9	89.8	64.3	89.5	74.8	37.5	33.6	91.6	45.8	64.5	71.4	51	77.2	94.2	57.6	94.2	64.6	69.8	99.7	82.7	72.6
EVA-01-CLIP-g2023.12		98.3	88.7	62.3	87.7	74.2	32.4	28.6	91.7	50	61.3	73.6	52.2	74.5	93.5	49.1	94.2	58.4	70.3	98.9	83.2	71.2
OpenCLIP-g2023.12		98.2	84.7	71.9	88.1	74.1	44.6	30.9	94	51	68.7	64.7	55.8	81	92.4	49.7	93.9	56.7	69.6	98.9	81.6	72.5
OpenCLIP-G2023.12		98.2	87.5	71.6	86.4	74.5	49.7	33.8	94.5	54.5	69	70	59.5	81.5	93.1	62.5	95.2	65.2	72.6	98.5	80.7	74.9
OpenCLIP-H2023.12		97.4	84.7	72.9	85	75.2	42.8	30	93.5	52.9	67.8	72.7	52	80.1	92.7	58.4	94.5	64.3	70.5	98.5	77.7	73.2
OpenAI CLIP-L+2023.12		94.9	74.4	79	87.2	68.7	33.4	34.5	79.3	41	56	61.5	49.1	78.6	93.9	52.4	93.8	70.7	65.4	99.4	78.1	69.6