Point-M2AE-SVM

Reported on 3 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 Vision3 results

Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· uses extra data· 2022-05-28
92.9
best: 95.3 (PointGST)
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training arXiv:2205.14401
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· uses extra data· 2022-05-28
92.9
best: 95.3 (PointGST)
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training arXiv:2205.14401
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· uses extra data· 2022-05-28
92.9
best: 95.3 (PointGST)
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training arXiv:2205.14401