From: Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
 | PointNet | PointNet++ | DGCNN | ShellNet | PointCNN | RIConv | |
---|---|---|---|---|---|---|---|
Re | Flower | 64.85 | 99.48 | 99.21 | 99.64 | 99.71 | 97.29 |
Leaf | 95,28 | 98.43 | 99.59 | 99.54 | 99.56 | 97.98 | |
Stem | 45.16 | 97.82 | 97.36 | 96.87 | 98.23 | 78.71 | |
Pr | Flower | 88.19 | 99.78 | 99.68 | 99.59 | 99.59 | 98.57 |
Leaf | 81.42 | 99.39 | 99.28 | 99.20 | 99.56 | 94.28 | |
Stem | 77.39 | 94.04 | 98.15 | 98.22 | 98.32 | 91.60 | |
IoU | Flower | 59.67 | 99.26 | 98.90 | 99.24 | 99.30 | 95.94 |
Leaf | 78.27 | 97.84 | 98.87 | 98.74 | 99.13 | 92.48 | |
Stem | 39.90 | 92.11 | 95.60 | 95.19 | 96.61 | 73.41 | |
MIoU | 59.28 | 96.40 | 97.79 | 97.73 | 98.35 | 87.28 | |
Acc | 81.82 | 98.50 | 99.15 | 99.10 | 99.36 | 94.57 |