<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>不确定性估计 | ViLab</title>
    <link>https://vilab.team/tag/%E4%B8%8D%E7%A1%AE%E5%AE%9A%E6%80%A7%E4%BC%B0%E8%AE%A1/</link>
      <atom:link href="https://vilab.team/tag/%E4%B8%8D%E7%A1%AE%E5%AE%9A%E6%80%A7%E4%BC%B0%E8%AE%A1/index.xml" rel="self" type="application/rss+xml" />
    <description>不确定性估计</description>
    <generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate>
    <image>
      <url>https://vilab.team/media/icon_hu2896232876136423579.png</url>
      <title>不确定性估计</title>
      <link>https://vilab.team/tag/%E4%B8%8D%E7%A1%AE%E5%AE%9A%E6%80%A7%E4%BC%B0%E8%AE%A1/</link>
    </image>
    
    <item>
      <title>Uncertainty-aware label rectification for domain adaptive mitochondria segmentation</title>
      <link>https://vilab.team/publication/uncertainty-aware-label-rectification-for-domain-adaptive-mi/</link>
      <pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
      <guid>https://vilab.team/publication/uncertainty-aware-label-rectification-for-domain-adaptive-mi/</guid>
      <description>&lt;p&gt;本文提出一种不确定性感知的标签修正方法，用于域自适应线粒体分割。针对跨域场景下伪标签噪声导致的监督偏差问题，通过不确定性估计识别并修正不可靠标签，从而提升模型在目标域上的分割性能。在电子显微镜线粒体分割任务上验证了该方法的有效性。&lt;/p&gt;
</description>
    </item>
    
  </channel>
</rss>
