GICN

Reported on 6 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision6 results

Instance SegmentationonScanNet(v2)
mAP @ 50· 2020-07-20
63.8
best: 81.6 (Relation3D)
SOTA
Learning Gaussian Instance Segmentation in Point Clouds arXiv:2007.09860
3D Instance SegmentationonScanNet(v2)
mAP @ 50· 2020-07-20
63.8
best: 81.6 (Relation3D)
SOTA
Learning Gaussian Instance Segmentation in Point Clouds arXiv:2007.09860
Instance SegmentationonS3DIS
mPrec· 2020-07-20
68.5
best: 82.3 (OneFormer3D)
Learning Gaussian Instance Segmentation in Point Clouds arXiv:2007.09860
Instance SegmentationonS3DIS
mRec· 2020-07-20
50.8
best: 77.1 (ISBNet)
Learning Gaussian Instance Segmentation in Point Clouds arXiv:2007.09860
3D Instance SegmentationonS3DIS
mPrec· 2020-07-20
68.5
best: 82.3 (OneFormer3D)
Learning Gaussian Instance Segmentation in Point Clouds arXiv:2007.09860
3D Instance SegmentationonS3DIS
mRec· 2020-07-20
50.8
best: 77.1 (ISBNet)
Learning Gaussian Instance Segmentation in Point Clouds arXiv:2007.09860