[Doc] update English readme for 2.7

Author: juncaipeng

README_EN.md

@@ -23,15 +23,15 @@ English | [简体中文](README_CN.md)
 
 ## <img src="./docs/images/seg_news_icon.png" width="20"/> News
 <ul class="nobull">
-  <li>[2022-07-20] :fire: PaddleSeg v2.6 is released! More details in <a href="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
+    <li>[2022-07-20] :fire: PaddleSeg v2.7 is released! More details in <a href="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
     <ul>
-        <li>Release <a href="./Matting/">PP-MattingV2</a>, an real-time human matting model with SOTA performance. Compared to previous models, the mean of error is reduced by 17.91%, the inference speed is improved by 44.6% on GPU. </li>
+        <li>Release <a href="./Matting/">PP-MattingV2</a>, a real-time human matting model with SOTA performance. Compared to previous models, the mean of error is reduced by 17.91%, the inference speed is improved by 44.6% on GPU. </li>
         <li>Release <a href="./contrib/MedicalSeg/">MedicalSegV2</a>, a superior 3D medical image segmentation solution, including an intelligent annotation toolkit called EISeg-Med3D, several state-of-the-art models and an optimized nnUNet-D with high performance.</li>
-        <li>Official Release <a href="./configs/rtformer/">RTFormer</a>, an real-time semantic segmentation model. It is proposed by Baidu and accepted by NeurIPS 2022.
+        <li>Official Release <a href="./configs/rtformer/">RTFormer</a>, a real-time semantic segmentation model. It is proposed by Baidu and accepted by NeurIPS 2022.
     </ul>
-  <li>[2022-07-20] PaddleSeg v2.6 released an real-time human segmentation SOTA solution <a href="./contrib/PP-HumanSeg">PP-HumanSegV2</a>,  a stable-version semi-automatic segmentation annotation <a href="./EISeg">EISeg v1.0</a>, a pseudo label pre-training method <a href="./configs/pssl">PSSL</a> and the source code of <a href="./Matting">PP-MattingV1</a> </li>
-  <li>[2022-04-20] PaddleSeg v2.5 released a real-time semantic segmentation model <a href="./configs/pp_liteseg">PP-LiteSeg</a>, a trimap-free image matting model <a href="./Matting">PP-MattingV1</a>, and an easy-to-use solution for 3D medical image segmentation <a href="./contrib/MedicalSeg">MedicalSegV1</a>.</li>
-  <li>[2022-01-20] We release PaddleSeg v2.4 with EISeg v0.4, and <a href="./contrib/PP-HumanSeg">PP-HumanSegV1</a> including open-sourced dataset <a href="./contrib/PP-HumanSeg/paper.md#pp-humanseg14k-a-large-scale-teleconferencing-video-dataset">PP-HumanSeg14K</a>. </li>
+  <li>[2022-07-20] PaddleSeg v2.6 released a real-time human segmentation SOTA solution <a href="./contrib/PP-HumanSeg">PP-HumanSegV2</a>,  a stable-version semi-automatic segmentation annotation <a href="./EISeg">EISeg v1.0</a>, a pseudo label pre-training method PSSL and the source code of PP-MattingV1. </li>
+  <li>[2022-04-20] PaddleSeg v2.5 released a real-time semantic segmentation model <a href="./configs/pp_liteseg">PP-LiteSeg</a>, a trimap-free image matting model PP-MattingV1, and an easy-to-use solution for 3D medical image segmentation MedicalSegV1.</li>
+  <li>[2022-01-20] We release PaddleSeg v2.4 with EISeg v0.4, and PP-HumanSegV1 including open-sourced dataset <a href="./contrib/PP-HumanSeg/paper.md#pp-humanseg14k-a-large-scale-teleconferencing-video-dataset">PP-HumanSeg14K</a>. </li>
 
 </ul>