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Benchmarks
Shape Classification on ModelNet-R (test)
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95.3
Accuracy
PointMLP
84.328
87.1765
90.025
92.8735
Jan 31, 2026
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
PointMLP
Param (M)=13.2, GFLOPs...
2026.01
95.3
Point-SkipNet
Param (M)=1.5
2026.01
94.3
CurveNet
Param (M)=2.1, GFLOPs...
2026.01
94.1
PointNet++ (SSG)
Param (M)=1.5, GFLOPs...
2026.01
94
PointNet++ (MSG)
Param (M)=1.7, GFLOPs...
2026.01
94
DGCNN
Param (M)=1.8, GFLOPs...
2026.01
94
PointNet
Param (M)=3.5, GFLOPs...
2026.01
91.4
NPNet
Param (M)=0.0, GFLOPs...
2026.01
85.65
Point-NN
Param (M)=0.0, GFLOPs...
2026.01
84.75
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