3D Point Cloud Classification on ModelNet-O (η=2.5%)
76.7OAPointMLS
Evaluation results
| Method | Links | |
|---|---|---|
| PointMLSmulti-level architecture=true2024.01 | 76.7 | |
| PointMLSmulti-level architecture=false2024.01 | 75 | |
| DGCNN2024.01 | 62.6 | |
| PointMeta2024.01 | 52.7 | |
| PointMLP2024.01 | 51.4 | |
| PointConv2024.01 | 48.4 | |
| I2P-MAEfine-tuning after self-supervised pre-training=true2024.01 | 46.1 | |
| PointNet++2024.01 | 44.6 | |
| PCT2024.01 | 43.8 | |
| CurveNet2024.01 | 30.9 | |
| ACTfine-tuning after self-supervised pre-training=true2024.01 | 28.1 | |
| PointNet2024.01 | 20 | |
| PointMAEfine-tuning after self-supervised pre-training=true2024.01 | 16.8 |