From: Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
RIConv | I | II | III | S | S + I | S + II | S + III | |
---|---|---|---|---|---|---|---|---|
Re | Flower | 45.99 | 40.40 | 56.09 | 81.47 | 38.16 | 61.00 | 55.47 |
Leaf | 98.46 | 98.36 | 98.92 | 72.85 | 99.27 | 98.26 | 98.48 | |
Stem | 31.53 | 38.09 | 37.88 | 38.58 | 40.62 | 55.67 | 57.88 | |
Pr | Flower | 85.76 | 88.46 | 91.81 | 21.21 | 90.16 | 89.61 | 92.04 |
Leaf | 87.49 | 87.82 | 89.08 | 90.17 | 87.87 | 91.45 | 91.33 | |
Stem | 75.03 | 74.86 | 79.61 | 76.89 | 87.69 | 81.41 | 81.78 | |
IoU | Flower | 42.72 | 38.38 | 53.42 | 20.24 | 36.63 | 56.97 | 52.93 |
Leaf | 86.31 | 86.55 | 88.22 | 67.49 | 87.31 | 90.00 | 90.07 | |
Stem | 28.54 | 33.77 | 34.53 | 34.58 | 38.43 | 49.39 | 51.27 | |
MIoU | 52.52 | 52.90 | 58.72 | 40.77 | 54.12 | 65.45 | 64.76 | |
Acc | 86.82 | 87.08 | 88.68 | 69.55 | 87.94 | 90.57 | 90.59 |