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Table 7 Segmentation results on 8 real rosebush models from ROSE-X data set with DGCNN

From: Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods

DGCNN I II III S S + I S + II S + III
Re Flower 5.62 29.85 7.12 79.65 24.36 34.83 59.16
Leaf 97.85 95.93 98.58 84.27 95.91 97.45 98.20
Stem 9.68 28.59 27.94 49.05 46.81 73.44 67.35
Pr Flower 22.67 54.80 75.96 42.46 37.51 75.46 79.71
Leaf 82.34 86.80 84.60 92.26 88.05 92.71 93.27
Stem 58.97 51.36 65.42 47.21 77.97 74.16 84.65
IoU Flower 4.72 23.95 6.96 38.30 17.33 31.28 51.42
Leaf 80.88 83.72 83.57 78.71 84.87 90.51 91.71
Stem 9.07 22.50 24.34 31.68 41.35 58.48 60.02
MIoU 31.56 43.39 38.29 49.56 47.85 60.09 67.72
Acc 80.79 83.23 83.59 79.87 84.90 90.00 91.73