Table 6.
Ablation study showing the impact of boundary-aware loss and edge detection branch on PSPNet-based segmentation model performance (Significant values are highlighted in bold).
| Model variant | Accuracy | Precision | Recall | F1 Score | IoU |
|---|---|---|---|---|---|
| PSPNet + Class weights + Boundary Aware Loss | 0.8943 | 0.6945 | 0.7236 | 0.7068 | 0.5875 |
| PSPNet + Class weights + Edge Detection Branch | 0.9279 | 0.7800 | 0.8003 | 0.7897 | 0.6800 |
|
PSPNet + Class weights + Boundary Aware Loss + Edge Detection Branch (Proposed model) |
0.9335 | 0.9399 | 0.9335 | 0.9358 | 0.8797 |