Point Cloud Classification on ModelNet40 (official split)
93.2AccuracyPCT
Evaluation results
| Method | Links | |
|---|---|---|
| PCTinput=P, #points=1k2020.12 | 93.2 | |
| KPConvinput=P, #points=7k2020.12 | 92.9 | |
| DGCNNinput=P, #points=1k2020.12 | 92.9 | |
| RS-CNNinput=P, #points=1k2020.12 | 92.9 | |
| PointASNLinput=P, #points=1k2020.12 | 92.9 | |
| A-CNNinput=P, N, #points=1k2020.12 | 92.6 | |
| P2Sequenceinput=P, #points=1k2020.12 | 92.6 | |
| PointCNNinput=P, #points=1k2020.12 | 92.5 | |
| PointConvinput=P, N, #points=1k2020.12 | 92.5 | |
| PCNNinput=P, #points=1k2020.12 | 92.3 | |
| PointWebinput=P, #points=1k2020.12 | 92.3 | |
| PointGridinput=P, #points=1k2020.12 | 92 | |
| SPCTinput=P, #points=1k2020.12 | 92 | |
| PointNet++input=P, N, #points=5k2020.12 | 91.9 | |
| Kd-Netinput=P, #points=32k2020.12 | 91.8 | |
| NPCTinput=P, #points=1k2020.12 | 91 | |
| SO-Netinput=P, N, #points=2k2020.12 | 90.9 | |
| PointNet++input=P, #points=1k2020.12 | 90.7 | |
| A-SCNinput=P, #points=1k2020.12 | 89.8 | |
| PointNetinput=P, #points=1k2020.12 | 89.2 |