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Add pipeline tag, paper, code, and citation links

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This PR improves the model card for `HorizonTEL/AIGIBench` by:
- Adding the `pipeline_tag: image-classification`, which accurately categorizes the model as an AI-generated image detector and enhances its discoverability on the Hub.
- Linking directly to the associated paper: [Is Artificial Intelligence Generated Image Detection a Solved Problem?](https://huggingface.co/papers/2505.12335).
- Providing a link to the official GitHub repository: [https://github.com/HorizonTEL/AIGIBench](https://github.com/HorizonTEL/AIGIBench).
- Including the BibTeX citation for proper academic attribution.

These updates ensure that the model card is more informative, discoverable, and aligned with Hugging Face Hub best practices.

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  1. README.md +17 -3
README.md CHANGED
@@ -1,8 +1,10 @@
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  ---
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- license: cc-by-nc-sa-4.0
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  datasets:
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  - HorizonTEL/AIGIBench
 
 
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  ---
 
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  <div align="center">
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  <br>
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  <h1>Is Artificial Intelligence Generated Image Detection a Solved Problem?</h1>
@@ -19,10 +21,22 @@ datasets:
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  <sup>1</sup>Nanjing University of Information Science and Technology <sup>2</sup>University of Siena
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  </div>
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- **This repository is the official pre-trained checkpoints of the AIGIBench in Setting-II**: Training on 144K images generated by both SD-v1.4 and ProGAN, covering the same four object categories.
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  If this project helps you, please fork, watch, and give a star to this repository.
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  ## Contact
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- If you have any question about this project, please feel free to contact 247918horizon@gmail.com
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  datasets:
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  - HorizonTEL/AIGIBench
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+ license: cc-by-nc-sa-4.0
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+ pipeline_tag: image-classification
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  ---
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+
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  <div align="center">
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  <br>
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  <h1>Is Artificial Intelligence Generated Image Detection a Solved Problem?</h1>
 
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  <sup>1</sup>Nanjing University of Information Science and Technology <sup>2</sup>University of Siena
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  </div>
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+ This model is a pre-trained checkpoint for the AI-Generated Image (AIGI) detector described in the paper [Is Artificial Intelligence Generated Image Detection a Solved Problem?](https://huggingface.co/papers/2505.12335).
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+ This checkpoint is from the AIGIBench in Setting-II: trained on 144K images generated by both SD-v1.4 and ProGAN, covering the same four object categories.
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+ For more details and code, please refer to the official GitHub repository: [https://github.com/HorizonTEL/AIGIBench](https://github.com/HorizonTEL/AIGIBench).
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  If this project helps you, please fork, watch, and give a star to this repository.
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  ## Contact
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+ If you have any question about this project, please feel free to contact 247918horizon@gmail.com
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+
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+ ## Citation
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+ ```
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+ @inproceedings{li2025artificial,
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+ title={Is Artificial Intelligence Generated Image Detection a Solved Problem?},
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+ author={Li, Ziqiang and Yan, Jiazhen and He, Ziwen and Zeng, Kai and Jiang, Weiwei and Xiong, Lizhi and Fu, Zhangjie},
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+ booktitle={Advances in Neural Information Processing Systems},
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+ year={2025}
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+ }
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+ ```