349-winclip-zero--few-shot-anomaly-classification-and-segmentation

https://github.com/szu-advtech-2024/349-winclip-zero--few-shot-anomaly-classification-and-segmentation

Science Score: 41.0%

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Citation

https://github.com/SZU-AdvTech-2024/349-WinCLIP-Zero--Few-Shot-Anomaly-Classification-and-Segmentation/blob/main/

# SZU
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

https://arxiv.org/abs/2303.14814


##  
Pytorch/CLIPWinCLIP+WinCLIPMVTec-ADVisAMPDD


##  &



```bash
  cd winclip_reproduction
  pip install -r requirements.txt
```





MVTechttps://www.mvtec.com/company/research/datasets/mvtec-ad/

Visahttps://paperswithcode.com/dataset/visa

MPDDhttps://github.com/stepanje/MPDD

##  


1. 
2. 

#### 1 
MVTec:

```bash
  python datasets/mvtec.py
```
VisaMPDDdatasets


#### 2 
MVTec

```bash
  python run_winclip.py
```
Visa

```bash
  python run_visa.py
```
MPDD

```bash
  python run_mpdd.py
```
##  
`./result`
##  
```
@inproceedings{zhu2024toward,
  title={Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts},
  author={Zhu, Jiawen and Pang, Guansong},
  booktitle=CVPR,
  year={2024}
}
@misc{cao2023segment,
      title={Segment Any Anomaly without Training via Hybrid Prompt Regularization}, 
      author={Yunkang Cao and Xiaohao Xu and Chen Sun and Yuqi Cheng and Zongwei Du and Liang Gao and Weiming Shen},
      year={2023},
      eprint={2305.10724},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
@article{zhou2024anomalyclip,
  title={AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection},
  author={Zhou, Qihang and Pang, Guansong and Tian, Yu and He, Shibo and Chen, Jiming},
  journal=ICLR,
  year={2024}
}
```

Owner

Name: SZU-AdvTech-2024
Login: SZU-AdvTech-2024
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2024

Citation (citation.txt)

@inproceedings{REPO349,
    author = "Jeong, Jongheon and Zou, Yang and Kim, Taewan and Zhang, Dongqing and Ravichandran, Avinash and Dabeer, Onkar",
    booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
    month = "June",
    pages = "19606-19616",
    title = "{WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation}",
    year = "2023"
}

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