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Table 4 Segmentation results on the validation set of the 8 synthetic rosebush models. 40 synthetic rosebush models were used to train the networks

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