Table 5.
S. No. | Source | Method | F1 | Precision | Accuracy | Recall |
---|---|---|---|---|---|---|
1 | He et al. [20] | ResNet-152, MobileNetV3 | 0.66 | 0.68 | - | 0.65 |
2 | Gjestang et al. [30] | Teacher-student framework | 0.89 | 0.89 | 0.89 | - |
3 | Barbhuiya et al. [22] | DarkNet | 0.71 | 0.71 | - | 0.74 |
4 | Galdran et al. [2] | CNN—BiT | 0.92 | - | - | - |
5 | Galdran et al. [21] | MobileNetV2, ResNeXt-50 | 0.64 | - | 0.65 | - |
6 | Proposed work | Novel feature fusion network | 0.97 | 0.97 | 0.98 | 0.98 |