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Add a survey #3

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10 changes: 10 additions & 0 deletions README.md
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Expand Up @@ -90,7 +90,17 @@ Using adapters provides multiple benefits. They are ...


## Surveys
- **Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey** 

_Yi Xin1, Siqi Luo1,2, Haodi Zhou1, Junlong Du3, Xiaohong Liu2,Yue Fan4, Qing Li4, Yuntao Du_ (2024)

<details>
<summary>TLDR</summary>
This survey provides a comprehensive overview and future directions for visual PEFT, offering a systematic review of the latest advancements, and categorizes existing methods into three categories: addition-based, partial-based, and unified-based.
</details>

[[Paper PDF]](https://arxiv.org/pdf/2402.02242.pdf)&nbsp; [[Semantic Scholar]](https://www.semanticscholar.org/paper/Parameter-Efficient-Fine-Tuning-for-Pre-Trained-A-Xin-Luo/0f2fbed561e37da842c98633faf8fe1de9e2e174)

- **Modular Deep Learning**&nbsp;

arXiv.org
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