Datasets › PointCloud-C
PointCloud-C
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.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Point Cloud Classification | PointCloud-C | BeyondRPC mean Corruption Error (mCE) 0.455 | BeyondRPC: A Contrastive and Augmentation-Driven... | virgantara/BeyondRPC | 24 | Compare |
| Point Cloud Segmentation | PointCloud-C | GDANet mean Corruption Error (mCE) 0.923 | Learning Geometry-Disentangled Representation for... | mutianxu/GDANet +2 | 11 | Compare |
Papers archive 2025-07-28
20 shown of 20 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 23. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- PointCloud-C
1 variant name, as the archive lists them.
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