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Models/O-CNN(6)

O-CNN(6)

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

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Shape Representation Of 3D Point CloudsonModelNet40
Classification Accuracy· 2017-12-05
89.9
best: 93.6 (Ours)
SOTA
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis arXiv:1712.01537
3D Object ClassificationonModelNet40
Classification Accuracy· 2017-12-05
89.9
best: 93.6 (Ours)
SOTA
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis arXiv:1712.01537
3D Point Cloud ClassificationonModelNet40
Classification Accuracy· 2017-12-05
89.9
best: 93.6 (Ours)
SOTA
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis arXiv:1712.01537
3D Point Cloud ReconstructiononModelNet40
Classification Accuracy· 2017-12-05
89.9
best: 93.6 (Ours)
SOTA
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis arXiv:1712.01537

Methodology1 result

3DonModelNet40
Classification Accuracy· 2017-12-05
89.9
best: 93.6 (Ours)
SOTA
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis arXiv:1712.01537

Medical1 result

3D ClassificationonModelNet40
Classification Accuracy· 2017-12-05
89.9
best: 93.6 (Ours)
SOTA
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis arXiv:1712.01537