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Models/OcCo+PointNet

OcCo+PointNet

Reported on 24 benchmarks across 3 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 Vision24 results

Shape Representation Of 3D Point CloudsonModelNet40 10-way (20-shot)
Overall Accuracy· 2020-10-02
89.7
best: 96.5 (ReCon++)
SOTA
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 10-way (10-shot)
Overall Accuracy· 2020-10-02
83.9
best: 95 (Point-JEPA)
SOTA
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 10-way (20-shot)
Overall Accuracy· 2020-10-02
89.7
best: 96.5 (ReCon++)
SOTA
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 10-way (10-shot)
Overall Accuracy· 2020-10-02
83.9
best: 95 (Point-JEPA)
SOTA
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 10-way (20-shot)
Overall Accuracy· 2020-10-02
89.7
best: 96.5 (ReCon++)
SOTA
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 10-way (10-shot)
Overall Accuracy· 2020-10-02
83.9
best: 95 (Point-JEPA)
SOTA
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 10-way (20-shot)
Standard Deviation· 2020-10-02
1.5
best: 13.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 5-way (10-shot)
Overall Accuracy· 2020-10-02
89.7
best: 98 (PointGPT)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 5-way (10-shot)
Standard Deviation· 2020-10-02
1.9
best: 16 (PointNet++)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 10-way (10-shot)
Standard Deviation· 2020-10-02
1.8
best: 13.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 5-way (20-shot)
Overall Accuracy· 2020-10-02
92.4
best: 99.5 (ReCon++)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
Shape Representation Of 3D Point CloudsonModelNet40 5-way (20-shot)
Standard Deviation· 2020-10-02
1.6
best: 15.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 10-way (20-shot)
Standard Deviation· 2020-10-02
1.5
best: 13.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 5-way (10-shot)
Overall Accuracy· 2020-10-02
89.7
best: 98 (PointGPT)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 5-way (10-shot)
Standard Deviation· 2020-10-02
1.9
best: 16 (PointNet++)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 10-way (10-shot)
Standard Deviation· 2020-10-02
1.8
best: 13.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 5-way (20-shot)
Overall Accuracy· 2020-10-02
92.4
best: 99.5 (ReCon++)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ClassificationonModelNet40 5-way (20-shot)
Standard Deviation· 2020-10-02
1.6
best: 15.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 10-way (20-shot)
Standard Deviation· 2020-10-02
1.5
best: 13.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 5-way (10-shot)
Overall Accuracy· 2020-10-02
89.7
best: 98 (PointGPT)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 5-way (10-shot)
Standard Deviation· 2020-10-02
1.9
best: 16 (PointNet++)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 10-way (10-shot)
Standard Deviation· 2020-10-02
1.8
best: 13.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 5-way (20-shot)
Overall Accuracy· 2020-10-02
92.4
best: 99.5 (ReCon++)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089
3D Point Cloud ReconstructiononModelNet40 5-way (20-shot)
Standard Deviation· 2020-10-02
1.6
best: 15.5 (PointNet)
Unsupervised Point Cloud Pre-Training via Occlusion Completion arXiv:2010.01089