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Models/PointASNL

PointASNL

Reported on 9 benchmarks across 5 tasks · 1 paper · 2 SOTA

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

Medical3 results

Semantic SegmentationonS3DIS
Mean IoU· 2020-03-01
68.7
best: 82.3 (Sonata + PTv3)
SOTA
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492
Semantic SegmentationonS3DIS
mAcc· 2020-03-01
79
best: 89.9 (Sonata + PTv3)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492
Semantic SegmentationonS3DIS
oAcc· 2020-03-01
88.8
best: 93.3 (Sonata + PTv3)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492

Audio3 results

10-shot image generationonS3DIS
Mean IoU· 2020-03-01
68.7
best: 82.3 (Sonata + PTv3)
SOTA
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492
10-shot image generationonS3DIS
mAcc· 2020-03-01
79
best: 89.9 (Sonata + PTv3)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492
10-shot image generationonS3DIS
oAcc· 2020-03-01
88.8
best: 93.3 (Sonata + PTv3)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492

Computer Vision3 results

Shape Representation Of 3D Point CloudsonModelNet40
Overall Accuracy· 2020-03-01
93.2
best: 95.3 (PointGST)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2020-03-01
93.2
best: 95.3 (PointGST)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2020-03-01
93.2
best: 95.3 (PointGST)
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling arXiv:2003.00492