Shape Classification on ModelNet-R (test)
95.3AccuracyPointMLP
Evaluation results
| Method | Links | |
|---|---|---|
| PointMLPParam (M)=13.2, GFLOPs (G)=15.72026.01 | 95.3 | |
| Point-SkipNetParam (M)=1.52026.01 | 94.3 | |
| CurveNetParam (M)=2.1, GFLOPs (G)=0.32026.01 | 94.1 | |
| PointNet++ (SSG)Param (M)=1.5, GFLOPs (G)=0.82026.01 | 94 | |
| PointNet++ (MSG)Param (M)=1.7, GFLOPs (G)=4.02026.01 | 94 | |
| DGCNNParam (M)=1.8, GFLOPs (G)=2.72026.01 | 94 | |
| PointNetParam (M)=3.5, GFLOPs (G)=0.42026.01 | 91.4 | |
| NPNetParam (M)=0.0, GFLOPs (G)=0.02026.01 | 85.65 | |
| Point-NNParam (M)=0.0, GFLOPs (G)=0.02026.01 | 84.75 |