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Models/MaskPoint

MaskPoint

Reported on 24 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 Vision24 results

Shape Representation Of 3D Point CloudsonModelNet40 10-way (20-shot)
Overall Accuracy· uses extra data· 2022-03-21
93.4
best: 96.5 (ReCon++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 10-way (20-shot)
Standard Deviation· uses extra data· 2022-03-21
3.5
best: 13.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 5-way (10-shot)
Overall Accuracy· uses extra data· 2022-03-21
95
best: 98 (PointGPT)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 5-way (10-shot)
Standard Deviation· uses extra data· 2022-03-21
3.7
best: 16 (PointNet++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 10-way (10-shot)
Overall Accuracy· uses extra data· 2022-03-21
91.4
best: 95 (Point-JEPA)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 10-way (10-shot)
Standard Deviation· uses extra data· 2022-03-21
4
best: 13.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 5-way (20-shot)
Overall Accuracy· uses extra data· 2022-03-21
97.2
best: 99.5 (ReCon++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
Shape Representation Of 3D Point CloudsonModelNet40 5-way (20-shot)
Standard Deviation· uses extra data· 2022-03-21
1.7
best: 15.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 10-way (20-shot)
Overall Accuracy· uses extra data· 2022-03-21
93.4
best: 96.5 (ReCon++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 10-way (20-shot)
Standard Deviation· uses extra data· 2022-03-21
3.5
best: 13.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 5-way (10-shot)
Overall Accuracy· uses extra data· 2022-03-21
95
best: 98 (PointGPT)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 5-way (10-shot)
Standard Deviation· uses extra data· 2022-03-21
3.7
best: 16 (PointNet++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 10-way (10-shot)
Overall Accuracy· uses extra data· 2022-03-21
91.4
best: 95 (Point-JEPA)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 10-way (10-shot)
Standard Deviation· uses extra data· 2022-03-21
4
best: 13.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 5-way (20-shot)
Overall Accuracy· uses extra data· 2022-03-21
97.2
best: 99.5 (ReCon++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ClassificationonModelNet40 5-way (20-shot)
Standard Deviation· uses extra data· 2022-03-21
1.7
best: 15.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 10-way (20-shot)
Overall Accuracy· uses extra data· 2022-03-21
93.4
best: 96.5 (ReCon++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 10-way (20-shot)
Standard Deviation· uses extra data· 2022-03-21
3.5
best: 13.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 5-way (10-shot)
Overall Accuracy· uses extra data· 2022-03-21
95
best: 98 (PointGPT)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 5-way (10-shot)
Standard Deviation· uses extra data· 2022-03-21
3.7
best: 16 (PointNet++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 10-way (10-shot)
Overall Accuracy· uses extra data· 2022-03-21
91.4
best: 95 (Point-JEPA)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 10-way (10-shot)
Standard Deviation· uses extra data· 2022-03-21
4
best: 13.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 5-way (20-shot)
Overall Accuracy· uses extra data· 2022-03-21
97.2
best: 99.5 (ReCon++)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183
3D Point Cloud ReconstructiononModelNet40 5-way (20-shot)
Standard Deviation· uses extra data· 2022-03-21
1.7
best: 15.5 (PointNet)
Masked Discrimination for Self-Supervised Learning on Point Clouds arXiv:2203.11183