Table 6 Performance Comparison on Oracle bone inscriptions Dataset

Model	Top-1 Accuracy		F1 Score		AUC		Top-5 Accuracy
Model	Base	CA	Base	CA	Base	CA	Base	CA
AlexNet	0.657	0.861	0.649	0.860	0.987	0.997	0.876	0.966
VGG19	0.643	0.904	0.640	0.904	0.975	0.999	0.853	0.978
ResNet50	0.671	0.900	0.669	0.900	0.985	0.999	0.863	0.980
ConvNext	0.644	0.880	0.649	0.879	0.981	0.998	0.840	0.973
EfficientNet	0.693	0.863	0.690	0.862	0.988	0.998	0.870	0.965
ShuffleNet	0.538	0.902	0.538	0.901	0.968	0.999	0.756	0.978
ViT	0.288	0.774	0.283	0.776	0.874	0.990	0.519	0.901
SwinTransformer	0.421	0.858	0.414	0.856	0.945	0.999	0.662	0.973

Quick links

Search