Table 5 Ablation experiments.
From: YOLO11-WLBS: an efficient model for pavement defect detection
Baseline | WTConv | LAE | BiFPN | SAM | P | R | F1 | mAP@0.5 | mAP@0.50–0.95 | Para/M |
|---|---|---|---|---|---|---|---|---|---|---|
YOLO11m | 0.853 | 0.698 | 0.768 | 0.797 | 0.624 | 20.06 | ||||
√ | 0.875 | 0.720 | 0.790 | 0.830 | 0.663 | 22.31 | ||||
√ | 0.859 | 0.711 | 0.778 | 0.813 | 0.631 | 13.92 | ||||
√ | 0.881 | 0.726 | 0.796 | 0.828 | 0.655 | 21.64 | ||||
√ | 0.867 | 0.712 | 0.781 | 0.831 | 0.638 | 20.07 | ||||
√ | √ | 0.909 | 0.754 | 0.824 | 0.883 | 0.675 | 14.25 | |||
√ | √ | 0.911 | 0.756 | 0.826 | 0.881 | 0.677 | 25.28 | |||
√ | √ | 0.902 | 0.748 | 0.818 | 0.876 | 0.665 | 24.28 | |||
√ | √ | 0.896 | 0.741 | 0.811 | 0.866 | 0.658 | 14.13 | |||
√ | √ | 0.893 | 0.738 | 0.809 | 0.863 | 0.636 | 14.10 | |||
√ | √ | 0.887 | 0.735 | 0.804 | 0.860 | 0.643 | 21.65 | |||
√ | √ | √ | 0.916 | 0.814 | 0.863 | 0.891 | 0.685 | 14.83 | ||
√ | √ | √ | 0.918 | 0.824 | 0.866 | 0.896 | 0.688 | 14.57 | ||
√ | √ | √ | 0.919 | 0.821 | 0.867 | 0.892 | 0.678 | 14.61 | ||
√ | √ | √ | 0.920 | 0.818 | 0.868 | 0.897 | 0.692 | 25.29 | ||
√ | √ | √ | √ | 0.947 | 0.895 | 0.920 | 0.944 | 0.703 | 14.94 |