Point Cloud Classification on ModelNet40 original (test)
94.2OAODFNet
Evaluation Results
| Method | Links | |
|---|---|---|
| ODFNetinput=p, voting=true2020.12 | 94.2 | |
| GDANetinput=p, voting=true2020.12 | 93.8 | |
| RS-CNNinput=p, voting=true2020.12 | 93.6 | |
| ODFNetinput=p, voting=false2020.12 | 93.4 | |
| DensePointinput=p, voting=true2020.12 | 93.2 | |
| ShellNetinput=p, voting=false2020.12 | 93.1 | |
| InterpCNNinput=p, voting=false2020.12 | 93 | |
| DGCNNinput=p, voting=false2020.12 | 92.9 | |
| Point2Seqinput=p, voting=false2020.12 | 92.6 | |
| SpiderCNNinput=p+n, voting=false2020.12 | 92.4 | |
| RS-CNNinput=p, voting=false2020.12 | 92.4 | |
| PointCNNinput=p, voting=false2020.12 | 92.2 | |
| Kd-networkinput=p, voting=true2020.12 | 91.8 | |
| KCNetinput=p, voting=false2020.12 | 91 | |
| PointNet++input=p+n, voting=false2020.12 | 90.7 | |
| ShapeContextNetinput=p, voting=false2020.12 | 90 | |
| PointNetinput=p, voting=false2020.12 | 89.2 | |
| PointwiseCNNinput=p, voting=false2020.12 | 86.1 |