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Models/3D-BoNet

3D-BoNet

Reported on 10 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision10 results

Instance SegmentationonS3DIS
mPrec· 2019-06-04
65.6
best: 82.3 (OneFormer3D)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
Instance SegmentationonS3DIS
mRec· 2019-06-04
47.6
best: 77.1 (ISBNet)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
Instance SegmentationonScanNet(v2)
mAP @ 50· 2019-06-04
48.8
best: 81.6 (Relation3D)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
Instance SegmentationonScanNet(v2)
mRec· 2019-06-04
47.6
best: 74.1 (MSTA3D)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
3D Instance SegmentationonS3DIS
mPrec· 2019-06-04
65.6
best: 82.3 (OneFormer3D)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
3D Instance SegmentationonS3DIS
mRec· 2019-06-04
47.6
best: 77.1 (ISBNet)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
3D Instance SegmentationonScanNet(v2)
mAP @ 50· 2019-06-04
48.8
best: 81.6 (Relation3D)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
3D Instance SegmentationonScanNet(v2)
mRec· 2019-06-04
47.6
best: 74.1 (MSTA3D)
SOTA
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
Instance SegmentationonScanNet(v2)
mAP· 2019-06-04
25.3
best: 62.2 (Relation3D)
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140
3D Instance SegmentationonScanNet(v2)
mAP· 2019-06-04
25.3
best: 62.2 (Relation3D)
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds arXiv:1906.01140