3D Point Cloud Classification on ModelNet-O Clean
77.6mAccPointMLS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PointMLSmulti-level architecture=true2024.01 | 77.6 | 78.9 | |
| PointMLSmulti-level architecture=false2024.01 | 76.7 | 77.7 | |
| PointMLP2024.01 | 76.5 | 76.9 | |
| PointMeta2024.01 | 76.4 | 77 | |
| DGCNN2024.01 | 74.7 | 75.9 | |
| PCT2024.01 | 72.4 | 74.4 | |
| CurveNet2024.01 | 71.9 | 72.8 | |
| I2P-MAEfine-tuning after self-supervised pre-training=true2024.01 | 71.3 | 73.2 | |
| PointNet++2024.01 | 70.7 | 71 | |
| ACTfine-tuning after self-supervised pre-training=true2024.01 | 69.2 | 69.7 | |
| PointMAEfine-tuning after self-supervised pre-training=true2024.01 | 67.8 | 68.3 | |
| PointNet2024.01 | 65.6 | 66.8 | |
| PointConv2024.01 | 65 | 65.7 |