𝓥𝓲𝓼𝓾𝓪𝓵 𝓟𝓪𝓻𝓪𝓶𝓮𝓽𝓮𝓻-𝓔𝓯𝓯𝓲𝓬𝓲𝓮𝓷𝓽 𝓣𝓻𝓪𝓷𝓼𝓯𝓮𝓻 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰 𝓑𝓮𝓷𝓬𝓱𝓶𝓪𝓻𝓴

🔥 News

• [2024/04/30] "VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Understanding" code will be released.
• [2024/04/30] "MmAP: Multi-modal Alignment Prompt for Cross-domain Multi-task Learning" code will be released.

• ✅ [2024/03/01] "Visual PEFT Library/Benchmark" repo is created.

⭐ Citation

If you find our survey and repository useful for your research, please cite it below:

@article{xin2024parameter,
  title={Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey},
  author={Xin, Yi and Luo, Siqi and Zhou, Haodi and Du, Junlong and Liu, Xiaohong and Fan, Yue and Li, Qing and Du, Yuntao},
  journal={arXiv preprint arXiv:2402.02242},
  year={2024}
}

@inproceedings{xin2024vmt,
  title={VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding},
  author={Xin, Yi and Du, Junlong and Wang, Qiang and Lin, Zhiwen and Yan, Ke},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={14},
  pages={16085--16093},
  year={2024}
}

@inproceedings{xin2024mmap,
  title={Mmap: Multi-modal alignment prompt for cross-domain multi-task learning},
  author={Xin, Yi and Du, Junlong and Wang, Qiang and Yan, Ke and Ding, Shouhong},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={14},
  pages={16076--16084},
  year={2024}
}