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        <title>查询去噪 - 标签 - Zhaoylee&#39;s Blogs</title>
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        <description>查询去噪 - 标签 - Zhaoylee&#39;s Blogs</description>
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    <title>Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection</title>
    <link>https://zhaoylee.github.io/Blogs_lovelt/posts/monodlgd--difficulty-aware-label-guided-denoising-for-monocular-3d-object-detection/</link>
    <pubDate>Sun, 15 Mar 2026 20:52:49 &#43;0800</pubDate>
    <author>zhaoylee</author>
    <guid>https://zhaoylee.github.io/Blogs_lovelt/posts/monodlgd--difficulty-aware-label-guided-denoising-for-monocular-3d-object-detection/</guid>
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<blockquote>
<p><strong>🏛️ 会议/期刊</strong>：AAAI <br>
<strong>📅 发表年份</strong>：2026<br>
<strong>💻 开源代码</strong>：<a href="https://github.com/lsy010857/MonoDLGD" target="_blank" rel="noopener noreffer ">MonoDLGD</a><br>
<strong>📄 论文题目</strong>：<a href="https://arxiv.org/pdf/2511.13195" target="_blank" rel="noopener noreffer ">Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection</a></p>
</blockquote>
<hr>
<h3 id="一-背景研究目的与核心问题">一、 背景、研究目的与核心问题</h3>
<ul>
<li>
<p><strong>研究背景：</strong> 在基于 Transformer 的单目 3D 目标检测中，通过向真实标签注入噪声并让模型去重构（即查询去噪 Query Denoising），能有效加速模型收敛并提升几何感知能力。</p>]]></description>
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