PointConT (no voting)

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
Mean Accuracy· 2023-03-08
86
best: 93.8 (GPSFormer)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· 2023-03-08
88
best: 97.2 (OmniVec2)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ClassificationonScanObjectNN
Mean Accuracy· 2023-03-08
86
best: 93.8 (GPSFormer)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· 2023-03-08
88
best: 97.2 (OmniVec2)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ReconstructiononScanObjectNN
Mean Accuracy· 2023-03-08
86
best: 93.8 (GPSFormer)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· 2023-03-08
88
best: 97.2 (OmniVec2)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599