Research Article
Attention-Based Convolutional Neural Network for Pavement Crack Detection
Table 3
Public Crack Dataset- CE loss.
| | Model | Precision/(%) | Mean IoU/(%) | Recall/(%) | F1/(%) |
| | ENet | 80.03 | 72.22 | 83.94 | 81.94 | | ExFuse | 82.22 | 71.77 | 81.17 | 81.69 | | FCN | 81.87 | 71.02 | 77.72 | 79.74 | | LinkNet | 81.15 | 70.97 | 82.62 | 81.88 | | SegNet | 78.00 | 66.32 | 75.18 | 76.56 | | UNet | 80.19 | 70.42 | 82.88 | 81.51 |
| | CrackResAttentionNet | 82.58 | 72.83 | 85.13 | 83.84 |
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