PointCloud-C

홈페이지 · 논문 23편

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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