MVCNN

Reported on 5 benchmarks across 4 tasks · 2 papers · 5 SOTA

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

Computer Vision5 results

IFC Entity ClassificationonIFCNetCore
Balanced Accuracy· 2021-06-17
85.54
SOTA
IFCNet: A Benchmark Dataset for IFC Entity Classification arXiv:2106.09712
IFC Entity ClassificationonIFCNetCore
F1 Score· 2021-06-17
86.93
SOTA
IFCNet: A Benchmark Dataset for IFC Entity Classification arXiv:2106.09712
Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2015-05-05
90.1
best: 95.3 (PointGST)
SOTA
Multi-view Convolutional Neural Networks for 3D Shape Recognition arXiv:1505.00880
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2015-05-05
90.1
best: 95.3 (PointGST)
SOTA
Multi-view Convolutional Neural Networks for 3D Shape Recognition arXiv:1505.00880
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2015-05-05
90.1
best: 95.3 (PointGST)
SOTA
Multi-view Convolutional Neural Networks for 3D Shape Recognition arXiv:1505.00880