Point-Cache: 3D Point Cloud Datasets for Robustness Analysis

Datasets used in the paper 'Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis'. The repository includes ModelNet and SONN datasets, organized into subfolders for different corruption types. The dataset was uploaded by author 'auniquesun' and last updated on 2025-06-19.

Use Cases

• Benchmarking point cloud model robustness based on the described corruption splits (e.g., obj_bg, hardest).
• Training and evaluating hierarchical cache mechanisms for 3D object recognition.
• Studying domain generalization in 3D vision using the provided ModelNet and SONN datasets.

Strengths

• Datasets are structured for specific corruption scenarios as described in the paper.
• Includes multiple dataset variants (e.g., ModelNet-C, SONN-C) for robustness testing.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Created for the research paper 'Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis'.

Freshness

Last updated 2025-06-19 12:54:07; freshness should be verified.