| Paper | Code | mIoU | Overall Accuracy | Model size | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|
| KPConv: Flexible and Deformable Convolution for Point Clouds | ✓ Link | 81.1 | 97.8 | 14M | KPConv | 2019-04-18 |
| Efficient 3D Semantic Segmentation with Superpoint Transformer | ✓ Link | 79.6 | 97.5 | 212K | Superpoint Transformer | 2023-06-13 |
| Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene | ✓ Link | 79.6 | EyeNet | 2023-01-30 | ||
| Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering | ✓ Link | 77.3 | 210M | SuperCluster | 2024-01-12 | |
| PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | ✓ Link | 68.3 | 95.7 | 3.0M | PointNet++ | 2017-06-07 |
| ConvPoint: Continuous Convolutions for Point Cloud Processing | ✓ Link | 67.4 | 97.2 | 4.7M | ConvPoint | 2019-04-04 |
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs | ✓ Link | 60.6 | 95.5 | 280K | SPG | 2017-11-27 |
| PointCNN: Convolution On X-Transformed Points | ✓ Link | 58.4 | 97.2 | N/A | PointCNN | 2018-12-01 |
| ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics | ✓ Link | 57.4 | 96.4 | N/A | ShellNet | 2019-08-17 |