3D Point Cloud Classification on ModelNet40 (test) - Efficiency Metrics
0.0013Inference Time (s)SortNet
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SortNet2020.11 | 0.0013 | 10 | — | — | — | — | |
| PointCNNBatch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 0.012 | — | — | — | 0.031 | — | |
| PointNetBatch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 0.015 | — | — | — | 0.068 | — | |
| PointNet++Batch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 0.027 | — | — | — | 0.091 | — | |
| 3DmFV-NetBatch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 0.039 | — | — | — | 0.101 | — | |
| DGCNNBatch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 0.064 | — | — | — | 0.171 | — | |
| PAT2020.11 | 0.088 | — | — | — | — | — | |
| Point Transformer2020.11 | 0.11 | — | — | — | — | — | |
| PointNet++2020.11 | 0.16 | — | — | — | — | — | |
| KPConv2020.11 | 0.21 | — | — | — | — | — | |
| PCNNBatch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 0.226 | — | — | — | 0.476 | — | |
| SpecGCNBatch size=16, Input points=1024, Hardware environment (GPU)=nVidia Tesla P1002018.01 | 11.254 | — | — | — | 14.64 | — |