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Models/A-CNN

A-CNN

Reported on 7 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· 2019-04-16
92.6
best: 95.3 (PointGST)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017
3D Point Cloud ClassificationonModelNet40
Overall Accuracy· 2019-04-16
92.6
best: 95.3 (PointGST)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017
3D Point Cloud ReconstructiononModelNet40
Overall Accuracy· 2019-04-16
92.6
best: 95.3 (PointGST)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017

Medical2 results

Semantic SegmentationonS3DIS
Mean IoU· 2019-04-16
62.9
best: 82.3 (Sonata + PTv3)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017
Semantic SegmentationonS3DIS
oAcc· 2019-04-16
87.3
best: 93.3 (Sonata + PTv3)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017

Audio2 results

10-shot image generationonS3DIS
Mean IoU· 2019-04-16
62.9
best: 82.3 (Sonata + PTv3)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017
10-shot image generationonS3DIS
oAcc· 2019-04-16
87.3
best: 93.3 (Sonata + PTv3)
A-CNN: Annularly Convolutional Neural Networks on Point Clouds arXiv:1904.08017