PointCloud-C
Introduced by Ren et al. in Benchmarking and Analyzing Point Cloud Classification under Corruptions
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
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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PointCloud-C
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Critical Points++&EPiC
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PointCloud-C
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GDANet
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Papers
| Paper | Code | Results | Date | Stars |
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