From 9e9bd84276cb17201a221cbf5babff4d31fdece1 Mon Sep 17 00:00:00 2001
From: ZiweiNiu <53245939+Ziwei-Niu@users.noreply.github.com>
Date: Thu, 8 Feb 2024 13:42:49 +0800
Subject: [PATCH] Update README.md

---
 README.md | 13 -------------
 1 file changed, 13 deletions(-)

diff --git a/README.md b/README.md
index 3062b6a..d0bbf1f 100644
--- a/README.md
+++ b/README.md
@@ -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 -->
 <table>