| Paper | Code | IoU (V) | IoU (A) | DSC (V) | DSC (A) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis | ✓ Link | 94.82 | 82.39 | 97.29 | 89.71 | 3DMedPT | 2021-12-09 |
| PointConv: Deep Convolutional Networks on 3D Point Clouds | ✓ Link | 94.65 | 79.53 | 97.18 | 86.52 | PointConv | 2018-11-17 |
| SO-Net: Self-Organizing Network for Point Cloud Analysis | ✓ Link | 94.46 | 81.40 | 97.09 | 88.76 | SO-Net | 2018-03-12 |
| PointCNN: Convolution On $\mathcal{X}$-Transformed Points | ✓ Link | 93.59 | 74.11 | 96.62 | 81.74 | PointCNN | 2018-01-23 |
| PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | ✓ Link | 93.42 | 76.38 | 96.48 | 84.64 | PointNet++ | 2017-06-07 |
| SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters | ✓ Link | 90.16 | 67.25 | 94.53 | 75.82 | SpiderCNN | 2018-03-30 |
| PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | ✓ Link | 75.23 | 37.75 | 85.00 | 49.59 | PointNet | 2016-12-02 |