Category-Extensible Out-of-Distribution Detection

This repo is the official implementation of CATegory-EXtensible Out-of-Distribution Detection via Hierarchical Context Descriptions (CATEX)

How to Install

This code is built on top of the awesome CoOp framework, and you need to install the dassl environment first (this has already prepared in this repo).

cd Dassl.pytorch
pip install -r requirements.txt
python setup.py develop

cd ..
pip install -r requirements.txt

After that, run pip install -r requirements.txt under catex/ to install a few more packages required by CLIP (this should be done when dassl is activated). Then, you are ready to go.

How to Run

First, follow the DATASETS.md to install the datasets.

Then, check the CATEX.md to see the detailed instructions on how to run the code to reproduce the results.

Released models

• We are working on it. Please stay tuned.

Citation

If you find this repo or paper useful in your research, please kindly star this repo and cite this paper:

@inproceedings{liu2023category,
  title={Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions},
  author={Liu, Kai and Fu, Zhihang and Chen, Chao and Jin, Sheng and Chen, Ze and Mingyuan Tao and Jiang, Rongxin and Ye, Jieping},
  booktitle={37th Conference on Neural Information Processing Systems (NeurIPS 2023)},
}