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Table 6 Parameter studies on varying the label selection thresholds, tested on the Oakland dataset

From: Pseudo-labelling-aided semantic segmentation on sparsely annotated 3D point clouds

tconf Overall accuracy (%) Average F-score (%) Per-class F-scores(%)
    Foliage Wire Pole Ground Façade
0.99 92.4 58.3 82.4 19.1 8.9 98.9 82.5
0.97 94.6 73.5 87.3 43.6 45.5 97.7 93.5
0.95 96.6 74.2 92.0 40.2 46.2 99.3 93.3
0.90 94.4 73.3 87.0 40.1 48.3 97.5 93.8
0.85 94.7 74.4 87.4 41.1 52.3 97.8 93.6
0.80 96.6 75.6 91.9 41.7 48.9 99.2 93.6
0.70 94.5 74.2 86.9 39.2 53.4 97.6 93.6
0.60 94.3 76.0 86.3 48.4 54.5 97.4 93.4
Seg-aided [17] 96.6 68.4 93.7 46.5 8.7 99.5 93.9
  1. The segmentation-aided classification result is reproduced in the last row for reference