P2Sequence

Reported on 5 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· 2018-11-06
92.6
best: 95.3 (PointGST)
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network arXiv:1811.02565
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2018-11-06
92.6
best: 95.3 (PointGST)
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network arXiv:1811.02565
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2018-11-06
92.6
best: 95.3 (PointGST)
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network arXiv:1811.02565

Medical1 result

Semantic SegmentationonShapeNet-Part
Instance Average IoU· 2018-11-06
85.2
best: 89.1 (GeomGCNN)
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network arXiv:1811.02565

Audio1 result

10-shot image generationonShapeNet-Part
Instance Average IoU· 2018-11-06
85.2
best: 89.1 (GeomGCNN)
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network arXiv:1811.02565