From: Pseudo-labelling-aided semantic segmentation on sparsely annotated 3D point clouds
Method | Overall accuracy (%) | Average F-score (%) | Per-class F-scores(%) | ||||
---|---|---|---|---|---|---|---|
 |  |  | Foliage | Wire | Pole | Ground | Façade |
5 labels/class | |||||||
Seg-aided [17] | 95.1 | 58.9 | 95.1 | 4.1 | 14.3 | 93.9 | 87.1 |
Ours with kdist | 80.6 | 45.2 | 0.0 | 33.9 | 32.7 | 99.4 | 60.2 |
15 labels/class | |||||||
Seg-aided [17] | 96.6 | 68.4 | 93.7 | 46.5 | 8.7 | 99.5 | 93.9 |
Ours with kdist | 96.6 | 74.2 | 92.0 | 40.2 | 46.2 | 99.3 | 93.3 |
30 labels/class | |||||||
Seg-aided [17] | 96.2 | 67.8 | 94.8 | 33.6 | 19.3 | 98.9 | 92.2 |
Ours with kdist | 95.9 | 70.2 | 90.5 | 34.1 | 35.5 | 99.3 | 91.4 |
100 labels/class | |||||||
Seg-aided [17] | 96.2 | 68.0 | 95.5 | 32.2 | 20.7 | 98.8 | 92.4 |
Ours with kdist | 96.2 | 72.6 | 91.4 | 38.3 | 41.4 | 99.4 | 92.4 |