3DMFV-Net

Reported on 3 benchmarks across 3 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· 2017-11-22
91.6
best: 95.3 (PointGST)
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks arXiv:1711.08241
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2017-11-22
91.6
best: 95.3 (PointGST)
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks arXiv:1711.08241
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2017-11-22
91.6
best: 95.3 (PointGST)
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks arXiv:1711.08241