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Models/SO-Net

SO-Net

Reported on 17 benchmarks across 6 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision7 results

Shape Representation Of 3D Point CloudsonIntrA
F1 score (5-fold)· 2018-03-12
0.868
best: 0.936 (3DMedPT)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2018-03-12
90.9
best: 95.3 (PointGST)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
3D Point Cloud ClassificationonIntrA
F1 score (5-fold)· 2018-03-12
0.868
best: 0.936 (3DMedPT)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2018-03-12
90.9
best: 95.3 (PointGST)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
3D Point Cloud Linear ClassificationonModelNet40
Overall Accuracy· 2018-03-12
87.5
best: 93.6 (ReCon++)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
3D Point Cloud ReconstructiononIntrA
F1 score (5-fold)· 2018-03-12
0.868
best: 0.936 (3DMedPT)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2018-03-12
90.9
best: 95.3 (PointGST)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249

Medical5 results

Semantic SegmentationonIntrA
DSC (A)· 2018-03-12
88.76
best: 89.71 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
Semantic SegmentationonIntrA
DSC (V)· 2018-03-12
97.09
best: 97.29 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
Semantic SegmentationonIntrA
IoU (A)· 2018-03-12
81.4
best: 82.39 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
Semantic SegmentationonIntrA
IoU (V)· 2018-03-12
94.46
best: 94.82 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
Semantic SegmentationonShapeNet-Part
Instance Average IoU· 2018-03-12
84.9
best: 89.1 (GeomGCNN)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249

Audio5 results

10-shot image generationonIntrA
DSC (A)· 2018-03-12
88.76
best: 89.71 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
10-shot image generationonIntrA
DSC (V)· 2018-03-12
97.09
best: 97.29 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
10-shot image generationonIntrA
IoU (A)· 2018-03-12
81.4
best: 82.39 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
10-shot image generationonIntrA
IoU (V)· 2018-03-12
94.46
best: 94.82 (3DMedPT)
SOTA
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249
10-shot image generationonShapeNet-Part
Instance Average IoU· 2018-03-12
84.9
best: 89.1 (GeomGCNN)
SO-Net: Self-Organizing Network for Point Cloud Analysis arXiv:1803.04249