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Image Classification on 12 Fine-Grained Datasets Suite

83.4Accuracy (Food-101)

Scala-B

Updated 4d ago

Evaluation Results

Method	Links
Scala-B 2024.12		83.4	97.3	86.6	69.7	74.3	63	87.6	78	94.6	95.1	97.3	84.1	84.2
Scala-B 2024.12		78.6	95.5	81.9	65.9	64.4	55.2	86.1	74.9	94	93.9	96	81.1	80.6
DeiT-B 2024.12		76.9	95.6	81.1	63	57.1	49.1	83	70.3	92.8	90.7	90.7	72.8	77
Scala-B 2024.12		72.8	93.6	78.1	61.4	55.4	49.6	84.2	72.1	92.9	92.1	93.4	76.7	76.8
DeiT-S 2024.12		72.1	94.1	77.7	60.5	49.4	44.5	83.3	69.5	92.1	90.3	88.8	71.9	74.5
DeiT-Ti 2024.12		65	90.6	72.5	56.1	39.7	39.9	81.6	67	91.1	88.8	85.1	69.4	70.6
DINOv2 2023.04		0.947	0.995	0.944	0.787	0.914	0.872	0.89	0.845	0.967	0.976	0.997	0.916	0.921
OpenCLIP 2023.04		0.945	0.987	0.91	0.84	0.961	0.802	0.893	0.86	0.957	0.981	0.995	0.899	0.919
DINOv2 2023.04		0.943	0.993	0.934	0.787	0.901	0.815	0.883	0.84	0.966	0.975	0.997	0.905	0.912
DINOv2 2023.04		0.928	0.987	0.913	0.773	0.882	0.794	0.882	0.833	0.962	0.961	0.996	0.896	0.901
iBOT 2023.04		0.91	0.99	0.928	0.756	0.718	0.724	0.89	0.807	0.877	0.975	0.996	0.821	0.866
DINOv2 2023.04		0.891	0.977	0.875	0.744	0.816	0.74	0.878	0.806	0.951	0.97	0.996	0.881	0.877
DINO 2023.04		0.851	0.972	0.869	0.703	0.766	0.706	0.867	0.796	0.932	0.954	0.976	0.817	0.851
MAE 2023.04		0.784	0.961	0.839	0.639	0.561	0.634	0.843	0.754	0.894	0.959	0.923	0.572	0.78