DGCNN+PointCutMix-R

Reported on 3 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 Vision3 results

Shape Representation Of 3D Point CloudsonModelNet40-C
Error Rate· 2021-01-05
0.173
best: 0.142 (OmniVec2)
SOTA
PointCutMix: Regularization Strategy for Point Cloud Classification arXiv:2101.01461
3D Point Cloud ClassificationonModelNet40-C
Error Rate· 2021-01-05
0.173
best: 0.142 (OmniVec2)
SOTA
PointCutMix: Regularization Strategy for Point Cloud Classification arXiv:2101.01461
3D Point Cloud ReconstructiononModelNet40-C
Error Rate· 2021-01-05
0.173
best: 0.142 (OmniVec2)
SOTA
PointCutMix: Regularization Strategy for Point Cloud Classification arXiv:2101.01461