Table 1 Accuracy comparison between different models

From: Multiple channel GCN with multiple directional Gaussian for porcelain microscopic image classification

Model

Accuracy (%)

Improvement

ResNet50a21

90.00

 

VGG16a22

90.67

+ 0.67

ViG26

90.66

+ 0.66

DenseNet121a23

92.80

+ 2.80

MPFGa25

92.95

+ 2.95

MCMG

93.33

+ 3.33

  1. aDenotes the pre-trained model on ImageNet.
  2. The bold text indicates the best-performing models and their respective performance metrics.
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