SimpleView

Reported on 13 benchmarks across 4 tasks · 1 paper

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

Computer Vision12 results

Shape Representation Of 3D Point CloudsonScanObjectNN
Overall Accuracy
80.5
best: 97.2 (OmniVec2)
Shape Representation Of 3D Point CloudsonModelNet40
Mean Accuracy
91.8
best: 92.4 (ULIP + PointMLP)
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy
93.9
best: 95.3 (PointGST)
Shape Representation Of 3D Point CloudsonModelNet40-C
Error Rate
0.271
best: 0.142 (OmniVec2)
3D Point Cloud ClassificationonScanObjectNN
Overall Accuracy
80.5
best: 97.2 (OmniVec2)
3D Point Cloud ClassificationonModelNet40
Mean Accuracy
91.8
best: 92.4 (ULIP + PointMLP)
3D Point Cloud ClassificationonModelNet40
Overall Accuracy
93.9
best: 95.3 (PointGST)
3D Point Cloud ClassificationonModelNet40-C
Error Rate
0.271
best: 0.142 (OmniVec2)
3D Point Cloud ReconstructiononScanObjectNN
Overall Accuracy
80.5
best: 97.2 (OmniVec2)
3D Point Cloud ReconstructiononModelNet40
Mean Accuracy
91.8
best: 92.4 (ULIP + PointMLP)
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy
93.9
best: 95.3 (PointGST)
3D Point Cloud ReconstructiononModelNet40-C
Error Rate
0.271
best: 0.142 (OmniVec2)