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    <title>Object-Scene-Camera Decomposition and Recomposition for Data-Efficient Monocular 3D Object Detection</title>
    <link>https://zhaoylee.github.io/Blogs_lovelt/posts/dr-traversal-m3d--object-scene-camera-decomposition-and-recomposition-for-data-efficient-monocular-3d-object-detection/</link>
    <pubDate>Sun, 15 Mar 2026 19:59:15 &#43;0800</pubDate>
    <author>zhaoylee</author>
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<blockquote>
<p><strong>🏛️ 会议/期刊</strong>：IJCV<br>
<strong>📅 发表年份</strong>：2026<br>
<strong>💻 开源代码</strong>：<a href="https://github.com/kwong292521/DR-Traversal-M3D" target="_blank" rel="noopener noreffer ">GitHub 链接</a><br>
<strong>📄 论文题目</strong>：<a href="https://arxiv.org/pdf/2602.20627" target="_blank" rel="noopener noreffer ">Object-Scene-Camera Decomposition and Recomposition for Data-Efficient 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> 单目 3D 目标检测本身是一个病态（ill-posed）问题，由于缺乏深度信息，模型极度依赖海量、多样化的训练数据来学习鲁棒的特征。</p>]]></description>
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