Journal of Engineering and Applied Science

Table 5 Model comparison on CIFAR-10 for task 2

From: SKZC: self-distillation and k-nearest neighbor-based zero-shot classification

	Airplane			Automobile			Bird
	Precision	Recall	f1-score	Precision	Recall	f1-score	Precision	Recall	f1-score
ViT-B/8	0.913	0.846	0.878	0.935	0.894	0.914	0.929	0.783	0.850
ViT-B/16	0.879	0.832	0.855	0.959	0.881	0.918	0.922	0.758	0.832
ViT-S/8	0.866	0.814	0.839	0.916	0.889	0.902	0.903	0.701	0.789
ViT-S/16	0.807	0.741	0.773	0.909	0.869	0.889	0.826	0.644	0.724
	Dog			Frog			Horse
	Precision	Recall	f1-score	Precision	Recall	f1-score	Precision	Recall	f1-score
ViT-B/8	0.863	0.795	0.828	0.950	0.881	0.914	0.928	0.855	0.890
ViT-B/16	0.866	0.771	0.816	0.903	0.901	0.902	0.939	0.843	0.888
ViT-S/8	0.791	0.746	0.768	0.837	0.842	0.839	0.887	0.803	0.843
ViT-S/16	0.787	0.689	0.735	0.800	0.806	0.803	0.865	0.762	0.810
	Cat			Deer			Ship
	Precision	Recall	f1-score	Precision	Recall	f1-score	Precision	Recall	f1-score
ViT-B/8	0.796	0.796	0.796	0.898	0.844	0.870	0.948	0.860	0.902
ViT-B/16	0.781	0.795	0.788	0.874	0.821	0.847	0.945	0.865	0.903
ViT-S/8	0.715	0.724	0.720	0.824	0.781	0.802	0.942	0.854	0.896
ViT-S/16	0.644	0.697	0.669	0.786	0.717	0.750	0.886	0.835	0.860
	Truck			Micro avg			Macro avg
	Precision	Recall	f1-score	Precision	Recall	f1-score	Precision	Recall	f1-score
ViT-B/8	0.949	0.862	0.904	0.910	0.842	0.874	0.911	0.842	0.875
ViT-B/16	0.905	0.893	0.899	0.896	0.836	0.865	0.897	0.836	0.865
ViT-S/8	0.918	0.847	0.881	0.857	0.800	0.828	0.860	0.800	0.828
ViT-S/16	0.873	0.854	0.863	0.816	0.761	0.788	0.816	0.761	0.788

The bold values represent the maximum values in the same row

Back to article page