You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
*[2022-01-04] We published a paper on portrait segmentation named [PP-HumanSeg](./contrib/PP-HumanSeg/paper.md), and released Semantic Connectivity-aware Learning (SCL) framework and a Large-Scale Teleconferencing Video Dataset.
23
-
*[2021-10-11] We released PaddleSeg v2.3 with the improved interactive segmentation tool ([EISeg v0.3](./EISeg)), two [matting]((./contrib/Matting)) algorithms, and segmentation model compression.
24
-
* For more information please refer to [Release Note](https://github.com/PaddlePaddle/PaddleSeg/releases).
23
+
<ulclass="nobull">
24
+
<li>[2021-01-20] PaddleSeg v2.4 is released! More details in <ahref="https://github.com/PaddlePaddle/PaddleSeg/releases">Release Notes</a>.</li>
25
+
<ul>
26
+
<li>Upgrade the interactive annotation tool <a href="./EISeg">EISeg v0.4</a> with faster inference speed, supporting new areas in remote sensing and medical segmentation.</li>
27
+
<li>Publish the <a href="./contrib/PP-HumanSeg/paper.md">PP-HumanSeg</a> paper, and released Semantic Connectivity-aware Learning framework and a Large-Scale Teleconferencing Video Dataset.</li>
28
+
<li>Release <a href="./contrib/Matting">PP-HumanMatting</a> for extremely fine-grained human segmentation, with an Android tutorial.</li>
29
+
<li>Add 9 semantic segmentatioin models, including a new transformer model <a href="configs/segmenter">SegMenter</a>.</li>
30
+
<li>Provide a comprehensive <a href="docs/model_zoo_overview.md">performance table</a> for all segmentation models, which helps to choose a better model on the accuracy and the speed.</li>
31
+
</ul>
32
+
33
+
34
+
<li>[2021-10-11] We released PaddleSeg v2.3 with the improved interactive segmentation tool EISeg v0.3, two matting algorithms, and segmentation model compression.</li>
35
+
<li>[2021-09-20] We published an interactive segmentation <ahref="https://arxiv.org/abs/2109.09406">paper</a> with SOTA performance on several well-known datasets.</li>
0 commit comments