C-CoTTA

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The official repository of C-CoTTA: Controllable Continual Test-Time Adaptation

C-CoTTA 최신버젼 다운로드

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// repository documentation

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# C-CoTTA: Controllable Continual Test-Time Adaptation

Official code for Controllable Continual Test-Time Adaptation.
Here, we use the CIFAR10-C dataset as an example to introduce the usage of the code. [[arxiv]](https://arxiv.org/abs/2405.14602)

![233](https://raw.githubusercontent.com/RenshengJi/C-CoTTA/main/doc/tsne.png)

## Prerequisite

Please create and activate the following conda envrionment. To reproduce our results, please kindly create and use this environment.

```bash
# It may take several minutes for conda to solve the environment
conda update conda
conda env create -f environment.yml
conda activate ccotta 
```

## Datasets

Please download the dataset [CIFAR10-C](https://zenodo.org/record/2535967#.ZBiI7NDMKUk) to any path by yourself, and fill in the path in _C.DATA_DIR in conf.py.

## Test

```bash
python test_time.py --cfg ./cfgs/cifar10_c/CCoTTA.yaml --gpu 0 --cav_alpha 2.0 --cav_beta 0.05
```

## Citation
If you find our survey and repository useful for your research, please consider citing our paper:
```bibtex
@article{shi2024controllable,
  title={Controllable Continual Test-Time Adaptation},
  author={Shi, Ziqi and Lyu, Fan and Liu, Ye and Shang, Fanhua and Hu, Fuyuan and Feng, Wei and Zhang, Zhang and Wang, Liang},
  journal={arXiv preprint arXiv:2405.14602},
  year={2024}
}
```

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