Shape Classification on ModelNet40 1.0 (test)
95.5OAVRN Ensemble
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VRN EnsembleInput configuration=additional input or more points2019.04 | 95.5 | — | |
| MVCNN-MultiResInput configuration=additional input or more points2019.04 | 93.8 | 91.4 | |
| SO-NetInput configuration=additional input or more points2019.04 | 93.4 | 90.8 | |
| Point2SequenceInput configuration=1024 points2019.04 | 92.6 | 90.4 | |
| A-CNNInput configuration=1024 points2019.04 | 92.6 | 90.3 | |
| PCNNInput configuration=1024 points2019.04 | 92.3 | — | |
| PointCNNInput configuration=1024 points2019.04 | 92.2 | 88.1 | |
| PointGridInput configuration=1024 points2019.04 | 92 | 88.9 | |
| PointNet++Input configuration=additional input or more points2019.04 | 91.9 | — | |
| Kd-NetInput configuration=1024 points, depth=152019.04 | 91.8 | 88.5 | |
| KCNetInput configuration=1024 points2019.04 | 91 | — | |
| O-CNNInput configuration=additional input or more points2019.04 | 90.6 | — | |
| AO-CNNInput configuration=additional input or more points2019.04 | 90.5 | — | |
| PointNetInput configuration=1024 points2019.04 | 89.2 | 86.2 | |
| Pointwise CNNInput configuration=1024 points2019.04 | 86.1 | 81.4 |