3D Point Cloud Classification on ModelNet-O η=5.0%
72.5OAPointMLS
Evaluation results
| Method | Links | |
|---|---|---|
| PointMLSmulti-level architecture=true2024.01 | 72.5 | |
| PointMLSmulti-level architecture=false2024.01 | 68.5 | |
| DGCNN2024.01 | 52.3 | |
| PointConv2024.01 | 26.7 | |
| PointMeta2024.01 | 22.8 | |
| PointNet++2024.01 | 20.8 | |
| PCT2024.01 | 20.6 | |
| PointMLP2024.01 | 16.7 | |
| I2P-MAEfine-tuning after self-supervised pre-training=true2024.01 | 16.2 | |
| PointNet2024.01 | 10.5 | |
| CurveNet2024.01 | 8.4 | |
| ACTfine-tuning after self-supervised pre-training=true2024.01 | 8.2 | |
| PointMAEfine-tuning after self-supervised pre-training=true2024.01 | 5 |