ModelNet40-C

ModelNet-C

3DPoint cloudBSD 3-ClauseIntroduced 2022-01-28

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

3D Point Cloud Classification/Error Rate 3D Point Cloud Reconstruction/Error Rate Point Cloud Classification/Top-1 Accuracy(5-Way-1-Shot)Shape Representation Of 3D Point Clouds/Error Rate