ModelNet40-C
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We create the ModelNet40-C dataset, which contains 185,100 point clouds from 40 classes, 15 corruption types, and 5 severity levels. We provide a detailed taxonomy of the constructed corruption types. ModelNet40-C is, to the best of our knowledge, the first comprehensive dataset for benchmarking <em><strong>corruption robustness</strong></em> of 3D point cloud classification. This dataset is from our arXiv paper: Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions.
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Zenodo创建时间：
2022-02-09
