Point Cloud Segmentation On Pointcloud C
Metrics
mean Corruption Error (mCE)
Results
Performance results of various models on this benchmark
Model Name | mean Corruption Error (mCE) | Paper Title | Repository |
|---|---|---|---|
| DGCNN | 1.000 | Dynamic Graph CNN for Learning on Point Clouds | - |
| PointMLP | 0.977 | Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework | - |
| OcCo-PointNet | 1.130 | Unsupervised Point Cloud Pre-Training via Occlusion Completion | - |
| PointMAE | 0.927 | Masked Autoencoders for Point Cloud Self-supervised Learning | - |
| GDANet | 0.923 | Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud | - |
| PointNet | 1.178 | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | - |
| PAConv | 0.927 | PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds | - |
| OcCo-DGCNN | 0.977 | Unsupervised Point Cloud Pre-Training via Occlusion Completion | - |
| PointTransformers | 1.049 | Point Transformer | - |
| PointNet++ | 1.112 | PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | - |
| OcCo-PCN | 1.173 | Unsupervised Point Cloud Pre-Training via Occlusion Completion | - |
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