Table 7 Performance comparison on bronze inscription dataset

From: Multi-modal ancient scripts recognition via deep learning with data homogenization and augmentation

Model

Top-1 Acc

F1 Score

AUC

Top-5 Acc

Base

CA

Base

CA

Base

CA

Base

CA

AlexNet

0.631

0.763

0.610

0.778

0.962

0.991

0.842

0.942

VGG19

0.588

0.727

0.568

0.721

0.947

0.983

0.831

0.911

ResNet50

0.615

0.803

0.615

0.797

0.965

0.994

0.850

0.960

ConvNext

0.573

0.778

0.555

0.772

0.949

0.991

0.792

0.942

EfficientNet

0.623

0.744

0.613

0.739

0.962

0.983

0.850

0.921

ShuffleNet

0.531

0.754

0.514

0.746

0.923

0.987

0.762

0.931

ViT

0.285

0.441

0.267

0.429

0.856

0.930

0.569

0.742

SwinTransformer

0.427

0.718

0.418

0.711

0.931

0.985

0.742

0.911