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Ziwei-Niu authored Feb 8, 2024
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Expand Up @@ -835,19 +835,6 @@ Self-supervised learning is a machine learning method where a model learns gener
- We refer to [junkunyuan](https://github.com/junkunyuan/Awesome-Domain-Generalization), [amber0309](https://github.com/amber0309/Domain-generalization), and [yfzhang114](https://github.com/yfzhang114/Generalization-Causality) to design the details of the papers and datasets.


<div style="display: flex; align-items: center;">
<img src="images/img3.png" alt="" style="width: 200px; margin-right: 10px; margin-left: 10px;"/>
<ul style="list-style-type: disc; padding-left: 20px;">
<li>
Title: <a href="https://link.springer.com/chapter/10.1007/978-3-030-59713-9_42">Improve Unseen Domain Generalization via Enhanced Local Color Transformation</a></li>
<li>Publication: MICCAI 2020 </li>
<li>Summary: Propose Enhanced Domain Transformation (EDT) for diabetic retinopathy classification, which aims to project the images into a color space that aligns the distribution of source data and unseen target data. </li>
<!-- <li><a href="https://link.springer.com/chapter/10.1007/978-3-031-16434-7_15">[Code]</a></li> -->

</ul>
</div>


## Contributors
<!-- readme: NaturalKnight,contributors,zerone-fg,contributors -start -->
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