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Models/PointNeXt+HyCoRe

PointNeXt+HyCoRe

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· 2022-09-21
87
best: 93.8 (GPSFormer)
SOTA
Rethinking the compositionality of point clouds through regularization in the hyperbolic space arXiv:2209.10318
3D Point Cloud ClassificationonScanObjectNN
Mean Accuracy· 2022-09-21
87
best: 93.8 (GPSFormer)
SOTA
Rethinking the compositionality of point clouds through regularization in the hyperbolic space arXiv:2209.10318
3D Point Cloud ReconstructiononScanObjectNN
Mean Accuracy· 2022-09-21
87
best: 93.8 (GPSFormer)
SOTA
Rethinking the compositionality of point clouds through regularization in the hyperbolic space arXiv:2209.10318
Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy· 2022-09-21
88.3
best: 97.2 (OmniVec2)
Rethinking the compositionality of point clouds through regularization in the hyperbolic space arXiv:2209.10318
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy· 2022-09-21
88.3
best: 97.2 (OmniVec2)
Rethinking the compositionality of point clouds through regularization in the hyperbolic space arXiv:2209.10318
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy· 2022-09-21
88.3
best: 97.2 (OmniVec2)
Rethinking the compositionality of point clouds through regularization in the hyperbolic space arXiv:2209.10318