MAKE

🚀 MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language

This project focuses on zero-shot classification and uses the open_clip library. It provides valuable research in the field of vision - language pretraining for zero - shot dermatological assessment.

📚 Documentation

General Information

Citation

If you find our work useful in your research, please consider citing our papers:

@misc{yan2025makemultiaspectknowledgeenhancedvisionlanguage,
      title={MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-shot Dermatological Assessment}, 
      author={Siyuan Yan and Xieji Li and Ming Hu and Yiwen Jiang and Zhen Yu and Zongyuan Ge},
      year={2025},
      eprint={2505.09372},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2505.09372}, 
}

@misc{yan2025derm1mmillionscalevisionlanguagedataset,
      title={Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology}, 
      author={Siyuan Yan and Ming Hu and Yiwen Jiang and Xieji Li and Hao Fei and Philipp Tschandl and Harald Kittler and Zongyuan Ge},
      year={2025},
      eprint={2503.14911},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.14911}, 
}

📄 License

The project is licensed under the MIT license.