ModelNet40-C (ModelNet-C)
Introduced by Sun et al. in Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.
We create ModelNet40-C based on the ModelNet40 validation set with 15 corruption types and 5 severity levels for each corruption type including density, noise, and transformation corruption patterns. Our dataset contains 185,000 distinct point clouds that help provide a comprehensive picture of model robustness.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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ModelNet40-C
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OmniVec
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ModelNet40-C
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PCT+PointCutMix-R
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ModelNet40-C
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ViewNet
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Papers
| Paper | Code | Results | Date | Stars |
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