Table 4. Quantitative results on the public dataset CITY-OSM.
| Method | Backbone | Background (%) | Building (%) | Road (%) | OA (%) | Mean F1 (%) | mIoU (%) |
|---|---|---|---|---|---|---|---|
| DC-Swin | – | 63.71 | 68.79 | 55.06 | 85.42 | 76.79 | 62.52 |
| SegFormer | – | 67.35 | 72.69 | 61.73 | 87.48 | 80.34 | 67.26 |
| GCNet | ResNet18 | 66.67 | 71.76 | 63.44 | 87.32 | 80.39 | 67.28 |
| A2FPN | ResNet18 | 71.12 | 75.72 | 77.65 | 89.26 | 83.34 | 71.50 |
| PSPNet | ResNet18 | 75.40 | 79.01 | 73.10 | 91.06 | 86.24 | 76.04 |
| BuildFormer | – | 75.36 | 79.30 | 72.79 | 91.08 | 86.22 | 75.82 |
| LOANet (ours) | ResNet18 | 73.17 | 76.54 | 70.76 | 90.04 | 84.70 | 73.49 |
| LOANet (ours) | LDCNet (ours) | 73.95 | 78.25 | 70.95 | 90.49 | 85.28 | 74.39 |
| LOANet-Large (ours) | LDCNet-large (ours) | 75.51 | 79.51 | 73.30 | 91.17 | 86.41 | 76.10 |
Notes.
Bold values represent the best performance indicators.