Datasets:
metadata
task_categories:
- image-classification
The datasets in this repository are used in the paper Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis.
Datasets
- The folder structure of used datasets should be organized as follows.
/path/to/Point-Cache
|----data # placed in the same level as `runners`, `scripts`, etc.
|----modelnet_c
|----sonn_c
|----obj_bg
|----obj_only
|----hardest
|----modelnet40
|----scanobjnn
|----omniobject3d
|----1024
|----4096
|----16384
|----objaverse_lvis
|----runners
|----scripts
...
You can find the download links of the above datasets from our huggingface dataset repositories as follows.
If you find our paper and datasets are helpful for your project or research, please cite our work as follows.
@inproceedings{sun25pointcache,
title={Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis},
author={Sun, Hongyu and Ke, Qiuhong and Cheng, Ming and Wang, Yongcai and Li, Deying and Gou, Chenhui and Cai, Jianfei},
booktitle={2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2025},
month={June}
}