3D CAD classification on 3D CAD data
68.8AccuracyPointNet + Learnable Filtration
Evaluation results
| Method | Links | |
|---|---|---|
| PointNet + Learnable FiltrationBackbone=PointNet, Phase=2nd Phase, Topological Feature=Ours (Learnable Filtration), Number of parameters=3,472,5002023.07 | 68.8 | |
| PointMLPBackbone=PointMLP, Phase=1st Phase, Feature concatenation=None, Number of parameters=3,524,3862023.07 | 68.8 | |
| PointNet + DTMBackbone=PointNet, Phase=2nd Phase, Topological Feature=DTM Filtration, Number of parameters=3,472,5002023.07 | 68.7 | |
| PointNet + RipsBackbone=PointNet, Phase=2nd Phase, Topological Feature=Rips Filtration, Number of parameters=3,472,5002023.07 | 68.4 | |
| DeepSets + DTMBackbone=DeepSets, Phase=2nd Phase, Topological Feature=DTM Filtration, Number of parameters=813,4882023.07 | 68 | |
| DeepSets + Learnable FiltrationBackbone=DeepSets, Phase=2nd Phase, Topological Feature=Ours (Learnable Filtration), Number of parameters=813,4882023.07 | 67.5 | |
| DeepSets + RipsBackbone=DeepSets, Phase=2nd Phase, Topological Feature=Rips Filtration, Number of parameters=813,4882023.07 | 67 | |
| DeepSetsBackbone=DeepSets, Phase=1st Phase, Feature concatenation=None, Number of parameters=813,4882023.07 | 65.7 | |
| DeepSets + DistMatrixNetBackbone=DeepSets, Phase=2nd Phase, Topological Feature=DistMatrixNet, Number of parameters=813,4882023.07 | 65.7 | |
| PointNetBackbone=PointNet, Phase=1st Phase, Feature concatenation=None, Number of parameters=3,472,5002023.07 | 64.3 | |
| PointMLP + Learnable FiltrationBackbone=PointMLP, Phase=2nd Phase, Topological Feature=Ours (Learnable Filtration), Number of parameters=3,524,3862023.07 | 60 | |
| PointMLP + RipsBackbone=PointMLP, Phase=2nd Phase, Topological Feature=Rips Filtration, Number of parameters=3,524,3862023.07 | 57.8 | |
| PointMLP + DTMBackbone=PointMLP, Phase=2nd Phase, Topological Feature=DTM Filtration, Number of parameters=3,524,3862023.07 | 57.2 | |
| PointNet + DistMatrixNetBackbone=PointNet, Phase=2nd Phase, Topological Feature=DistMatrixNet, Number of parameters=3,472,5002023.07 | 55.7 | |
| PointMLP + DistMatrixNetBackbone=PointMLP, Phase=2nd Phase, Topological Feature=DistMatrixNet, Number of parameters=3,524,3862023.07 | 53.8 |