<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0">
    <channel>
        <title>技术点1 - 标签 - Zhaoylee&#39;s Blogs</title>
        <link>https://zhaoylee.github.io/Blogs_lovelt/tags/%E6%8A%80%E6%9C%AF%E7%82%B91/</link>
        <description>技术点1 - 标签 - Zhaoylee&#39;s Blogs</description>
        <generator>Hugo -- gohugo.io</generator><language>zh-CN</language><lastBuildDate>Mon, 30 Mar 2026 23:17:02 &#43;0800</lastBuildDate><atom:link href="https://zhaoylee.github.io/Blogs_lovelt/tags/%E6%8A%80%E6%9C%AF%E7%82%B91/" rel="self" type="application/rss+xml" /><item>
    <title>Mix-Teaching: A Simple, Unified and Effective  Semi-Supervised Learning Framework for  Monocular 3D Object Detection</title>
    <link>https://zhaoylee.github.io/Blogs_lovelt/posts/mix-teaching--a-simple-unified-and-effective--semi-supervised-learning-framework-for--monocular-3d-object-detection/</link>
    <pubDate>Mon, 30 Mar 2026 23:17:02 &#43;0800</pubDate>
    <author>zhaoylee</author>
    <guid>https://zhaoylee.github.io/Blogs_lovelt/posts/mix-teaching--a-simple-unified-and-effective--semi-supervised-learning-framework-for--monocular-3d-object-detection/</guid>
    <description><![CDATA[<div class="featured-image">
                <img src="https://cdn.jsdelivr.net/gh/zhaoylee/BlogImage@main/blogs/20260330231443214.png" referrerpolicy="no-referrer">
            </div>本文提出 Mix-Teaching，首个专为单目 3D 目标检测设计的半监督学习统一框架。针对伪标签“低精度与低召回率”导致的确认偏差痛点，创新性提出“分解-重组”的跨帧实例级混合机制，并结合基于不确定性的过滤策略，优雅且高效地释放了无标注数据的潜力。]]></description>
</item>
</channel>
</rss>
