OGNet + MD

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 CloudsonModelNet40
Mean Accuracy· 2021-09-01
90.71
best: 92.4 (ULIP + PointMLP)
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes arXiv:2109.00452
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2021-09-01
93.31
best: 95.3 (PointGST)
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes arXiv:2109.00452
3D Point Cloud ClassificationonModelNet40
Mean Accuracy· 2021-09-01
90.71
best: 92.4 (ULIP + PointMLP)
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes arXiv:2109.00452
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2021-09-01
93.31
best: 95.3 (PointGST)
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes arXiv:2109.00452
3D Point Cloud ReconstructiononModelNet40
Mean Accuracy· 2021-09-01
90.71
best: 92.4 (ULIP + PointMLP)
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes arXiv:2109.00452
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2021-09-01
93.31
best: 95.3 (PointGST)
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes arXiv:2109.00452