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 | 69.98 | 68.79 | 81.24 | 97.02 | 75.13 | 73.70 | 85.39 |
Leaf | 98.02 | 98.28 | 97.67 | 28.72 | 98.10 | 98.71 | 98.71 | |
Stem | 78.73 | 85.75 | 87.55 | 48.81 | 84.57 | 87.73 | 89.03 | |
Pr | Flower | 87.80 | 95.10 | 87.30 | 10.60 | 84.26 | 91.61 | 91.57 |
Leaf | 95.42 | 96.12 | 97.27 | 96.01 | 96.39 | 96.55 | 97.58 | |
Stem | 83.73 | 83.89 | 86.20 | 78.09 | 89.47 | 90.48 | 92.52 | |
IoU | Flower | 63.78 | 66.44 | 72.72 | 10.57 | 65.88 | 69.04 | 79.17 |
Leaf | 93.62 | 94.53 | 95.07 | 28.38 | 94.62 | 95.35 | 96.36 | |
Stem | 68.29 | 73.63 | 76.79 | 42.93 | 76.91 | 80.32 | 83.05 | |
MIoU | 75.23 | 78.20 | 81.53 | 27.29 | 79.14 | 81.57 | 86.19 | |
Acc | 93.70 | 94.63 | 95.28 | 36.15 | 94.82 | 95.58 | 96.60 |