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Models/SSFSL+ DGCNN

SSFSL+ DGCNN

Reported on 6 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 Vision6 results

Shape Representation Of 3D Point CloudsonModelNet40 10-way (20-shot)
Overall Accuracy· 2020-09-29
53
best: 96.5 (ReCon++)
SOTA
Self-Supervised Few-Shot Learning on Point Clouds arXiv:2009.14168
3D Point Cloud ClassificationonModelNet40 10-way (20-shot)
Overall Accuracy· 2020-09-29
53
best: 96.5 (ReCon++)
SOTA
Self-Supervised Few-Shot Learning on Point Clouds arXiv:2009.14168
3D Point Cloud ReconstructiononModelNet40 10-way (20-shot)
Overall Accuracy· 2020-09-29
53
best: 96.5 (ReCon++)
SOTA
Self-Supervised Few-Shot Learning on Point Clouds arXiv:2009.14168
Shape Representation Of 3D Point CloudsonModelNet40 10-way (20-shot)
Standard Deviation· 2020-09-29
4.1
best: 13.5 (PointNet)
Self-Supervised Few-Shot Learning on Point Clouds arXiv:2009.14168
3D Point Cloud ClassificationonModelNet40 10-way (20-shot)
Standard Deviation· 2020-09-29
4.1
best: 13.5 (PointNet)
Self-Supervised Few-Shot Learning on Point Clouds arXiv:2009.14168
3D Point Cloud ReconstructiononModelNet40 10-way (20-shot)
Standard Deviation· 2020-09-29
4.1
best: 13.5 (PointNet)
Self-Supervised Few-Shot Learning on Point Clouds arXiv:2009.14168