Table 2.
Results comparisons of different methods in validation and test datasets (accuracy is multiplied by 100).
| Networks | Validation | Test | ||
|---|---|---|---|---|
| C_Accuracy | R_Accuracy | C_Accuracy | R_Accuracy | |
| GoogleNet24 | 75.0 | 77.5 | 73.8 | 74.8 |
| VGG1625 | 77.5 | 78.5 | 74.8 | 75.0 |
| ResNet5026 | 77.5 | 80.0 | 75.3 | 78.3 |
| DenseNet20127 | 77.5 | 77.0 | 75.5 | 80.8 |
| Inceptionv328 | 75.0 | 79.0 | 78.0 | 80.0 |
| Xception29 | 75.0 | 78.5 | 73.0 | 75.3 |
| InceptionResnetV230 | 76.5 | 77.5 | 75.5 | 78.8 |
| NasnetLarge31 | 79.5 | 80.0 | 78.8 | 82.5 |
| EfficientNetB732 | 79.5 | 82.0 | 77.5 | 84.5 |
| Vision transformer17 | 77.5 | 80.0 | 73.3 | 77.5 |
| CONVT33 | 80.0 | 82.0 | 75.3 | 85.3 |
| Beit_large34 | 70.5 | 71.0 | 64.0 | 74.3 |
| RVT | 82.5 | 85.0 | 82.8 | 87.3 |