PointNeXt+Local

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

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
Mean Accuracy· 2022-12-09
87.4
best: 93.8 (GPSFormer)
SOTA
Local Neighborhood Features for 3D Classification arXiv:2212.05140
3D Point Cloud ClassificationonScanObjectNN
Mean Accuracy· 2022-12-09
87.4
best: 93.8 (GPSFormer)
SOTA
Local Neighborhood Features for 3D Classification arXiv:2212.05140
3D Point Cloud ReconstructiononScanObjectNN
Mean Accuracy· 2022-12-09
87.4
best: 93.8 (GPSFormer)
SOTA
Local Neighborhood Features for 3D Classification arXiv:2212.05140
Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· 2022-12-09
88.6
best: 97.2 (OmniVec2)
Local Neighborhood Features for 3D Classification arXiv:2212.05140
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· 2022-12-09
88.6
best: 97.2 (OmniVec2)
Local Neighborhood Features for 3D Classification arXiv:2212.05140
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· 2022-12-09
88.6
best: 97.2 (OmniVec2)
Local Neighborhood Features for 3D Classification arXiv:2212.05140