Research Article
Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features
Table 5
Comparisons of the results with different upsampling features and structures in the upsampling module.
| Backbone | Low-level features | 3 × 3 Conv structure | OA | mIoU | Conv1 | Block1 |
| ResNet50 | ✓ | | (3 × 3, 256) × 1 | 97.33 | 70.43 | ✓ | | (3 × 3, 256) × 2 | 97.55 | 71.16 | ✓ | | (3 × 3, 256) × 3 | 97.56 | 71.28 | ✓ | | (3 × 3,256) × 4 | 97.60 | 70.86 | | ✓ | (3 × 3, 256) × 3 | 97.68 | 71.68 | ✓ | ✓ | (3 × 3, 256) × 3 | 98.43 | 71.82 | ResNet101 | ✓ | ✓ | (3 × 3, 256) × 3 | 98.79 | 73.53 |
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