Table 4 Performance comparison of different model variants.
From: Enhancing artistic style classification through a novel ArtFusionNet framework
Model | Accuracy (%) | Training time (s) | Validation loss | Avg precision | Avg Recall | Avg F1-Score |
|---|---|---|---|---|---|---|
Full | 99.00 | 19946.46 | 0.1227 | 0.9883 | 0.9936 | 0.9906 |
No Transformer | 81.73 | 19615.81 | 1.0426 | 0.7183 | 0.9254 | 0.8139 |
No ResNet | 35.14 | 2150.26 | 2.3306 | 0.1154 | 0.2546 | 0.2722 |
No Fusion | 98.07 | 19910.93 | 0.1218 | 0.9883 | 0.9884 | 0.9877 |
