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Benchmarks
3D Shape Classification on ScanObjectNN OBJ_ONLY (Robustness Suite)
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85.7
Accuracy (Gaussian noise σ'=0.01)
DGCNN + SageMix
84.14
84.545
84.95
85.355
Oct 13, 2022
Accuracy (Gaussian noise σ'=0.01)
Accuracy (Gaussian noise σ'=0.05)
Accuracy (Rotation 180 X-axis)
Accuracy (Rotation 180 Z-axis)
Accuracy (Scaling x0.6)
Accuracy (Scaling x2.0)
Accuracy (Dropout 25%)
Accuracy (Dropout 50%)
ECE (%)
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy (Gaussian noise σ'=0.01)
Accuracy (Gaussian noise σ'=0.05)
Accuracy (Rotation 180 X-axis)
Accuracy (Rotation 180 Z-axis)
Accuracy (Scaling x0.6)
Accuracy (Scaling x2.0)
Accuracy (Dropout 25%)
Accuracy (Dropout 50%)
ECE (%)
DGCNN + SageMix
Backbone=DGCNN
2022.10
85.7
51.2
36.5
37.9
75.6
75.2
84.9
79
5.1
DGCNN + PointMixup
Backbone=DGCNN
2022.10
85
61.3
31.7
32.7
73.8
73
84.2
74.9
6.8
DGCNN
Backbone=DGCNN
2022.10
84.9
48.4
32.5
32.4
73.7
73
83.3
75.7
19.8
DGCNN + RSMix
Backbone=DGCNN
2022.10
84.2
49.1
32.7
32.6
75
74.5
84
73.6
18.9
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