Table 5 Segmentation results on 8 real rosebush models from ROSE-X data set with PointNet
From: Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
| PointNet | I | II | III | S | S + I | S + II | S + III | |
|---|---|---|---|---|---|---|---|---|
| Re | Flower | 10.50 | 11.92 | 19.18 | 20.44 | 14.79 | 13.85 | 8.45 |
| Leaf | 94.77 | 97.77 | 97.55 | 96.52 | 90.43 | 94.63 | 96.18 | |
| Stem | 5.47 | 2.30 | 3.15 | 2.20 | 9.21 | 7.25 | 8.62 | |
| Pr | Flower | 27.43 | 34.67 | 40.35 | 41.61 | 31.48 | 34.95 | 41.24 |
| Leaf | 81.77 | 82.05 | 82.62 | 82.52 | 82.18 | 82.52 | 82.06 | |
| Stem | 19.33 | 29.13 | 45.07 | 15.9 | 14.41 | 20.16 | 28.07 | |
| IoU | Flower | 8.22 | 9.73 | 14.94 | 15.88 | 11.19 | 11.01 | 7.54 |
| Leaf | 78.23 | 80.54 | 80.94 | 80.14 | 75.60 | 78.83 | 79.48 | |
| Stem | 4.46 | 2.18 | 3.03 | 1.99 | 5.95 | 5.63 | 7.06 | |
| MIoU | 30.30 | 30.82 | 32.97 | 32.66 | 30.92 | 31.83 | 31.36 | |
| Acc | 78.17 | 80.35 | 80.81 | 79.96 | 75.41 | 78.52 | 79.53 | |