PointMLS

Reported on 6 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· 2024-01-16
86.6
best: 97.2 (OmniVec2)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification arXiv:2401.08210
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2024-01-16
94
best: 95.3 (PointGST)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification arXiv:2401.08210
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· 2024-01-16
86.6
best: 97.2 (OmniVec2)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification arXiv:2401.08210
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2024-01-16
94
best: 95.3 (PointGST)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification arXiv:2401.08210
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· 2024-01-16
86.6
best: 97.2 (OmniVec2)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification arXiv:2401.08210
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2024-01-16
94
best: 95.3 (PointGST)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification arXiv:2401.08210