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Models/SGPN-CNN

SGPN-CNN

Reported on 7 benchmarks across 7 tasks · 1 paper · 7 SOTA

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

Methodology4 results

3DonNYU Depth v2
MAP· 2017-11-23
41.3
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588
2D ClassificationonNYU Depth v2
MAP· 2017-11-23
41.3
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588
2D Object DetectiononNYU Depth v2
MAP· 2017-11-23
41.3
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588
16konNYU Depth v2
MAP· 2017-11-23
41.3
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588

Computer Vision3 results

Object DetectiononNYU Depth v2
MAP· 2017-11-23
41.3
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588
Instance SegmentationonNYU Depth v2
mAP@0.5· 2017-11-23
30.5
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588
3D Object DetectiononNYU Depth v2
MAP· 2017-11-23
41.3
SOTA
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation arXiv:1711.08588