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Models/Kd-net

Kd-net

Reported on 7 benchmarks across 5 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· 2017-04-04
90.6
best: 95.3 (PointGST)
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2017-04-04
90.6
best: 95.3 (PointGST)
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2017-04-04
90.6
best: 95.3 (PointGST)
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222

Medical2 results

Semantic SegmentationonShapeNet-Part
Class Average IoU· 2017-04-04
77.4
best: 87.7 (Feature Geometric Net (FG-Net))
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222
Semantic SegmentationonShapeNet-Part
Instance Average IoU· 2017-04-04
82.3
best: 89.1 (GeomGCNN)
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222

Audio2 results

10-shot image generationonShapeNet-Part
Class Average IoU· 2017-04-04
77.4
best: 87.7 (Feature Geometric Net (FG-Net))
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222
10-shot image generationonShapeNet-Part
Instance Average IoU· 2017-04-04
82.3
best: 89.1 (GeomGCNN)
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models arXiv:1704.01222