README.md

metadata

task_categories:
  - image-classification
  - point-cloud-classification
  - point-cloud-recognition

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

1. 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
    ...

2. You can find the download links of the above datasets from our huggingface dataset repositories as follows.

   • Link for modelnet_c and sonn_c
   • Link for omniobject3d
   • Link for modelnet40, scanobjnn, and objaverse_lvis

3. If you find our paper and datasets are helpful for your project or research, please cite our work as follows.

  @InProceedings{Sun_2025_CVPR,
    author    = {Sun, Hongyu and Ke, Qiuhong and Cheng, Ming and Wang, Yongcai and Li, Deying and Gou, Chenhui and Cai, Jianfei},
    title     = {Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis},
    booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
    month     = {June},
    year      = {2025},
    pages     = {1263-1275}
  }