PointCloud-C is the very first test-suite for point cloud robustness analysis under corruptions.

  • Two sets: ModelNet-C for point cloud classification and ShapeNet-C for part segmentation.
  • Real-world corruption sources, ranging from object-, senor-, and processing-levels.
  • Seven types of corruptions, each with five severity levels.
  • Benchmark with more than 20 point cloud recognition algorithms.
  • Methods ranging from architecture design, augmentations, and pre-training.


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