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Models/PointConT

PointConT

Reported on 9 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 Vision9 results

Shape Representation Of 3D Point CloudsonScanObjectNN
Mean Accuracy· 2023-03-08
88.5
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
90.3
best: 97.2 (OmniVec2)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2023-03-08
93.5
best: 95.3 (PointGST)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ClassificationonScanObjectNN
Mean Accuracy· 2023-03-08
88.5
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
90.3
best: 97.2 (OmniVec2)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2023-03-08
93.5
best: 95.3 (PointGST)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ReconstructiononScanObjectNN
Mean Accuracy· 2023-03-08
88.5
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
90.3
best: 97.2 (OmniVec2)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2023-03-08
93.5
best: 95.3 (PointGST)
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space arXiv:2303.04599