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        <title>隐式投影 - 标签 - Zhaoylee&#39;s Blogs</title>
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        <description>隐式投影 - 标签 - Zhaoylee&#39;s Blogs</description>
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    <title>LR3D: Improving Distant 3D Object Detection Using 2D Box Supervision</title>
    <link>https://zhaoylee.github.io/Blogs_lovelt/posts/lr3d--improving-distant-3d-object-detection-using-2d-box-supervision/</link>
    <pubDate>Sun, 15 Mar 2026 22:23:00 &#43;0800</pubDate>
    <author>zhaoylee</author>
    <guid>https://zhaoylee.github.io/Blogs_lovelt/posts/lr3d--improving-distant-3d-object-detection-using-2d-box-supervision/</guid>
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<blockquote>
<p><strong>🏛️ 会议/期刊</strong>：CVPR<br>
<strong>📅 发表年份</strong>：2024<br>
<strong>💻 开源代码</strong>：<a href="%e5%a1%ab%e5%86%99%e4%bd%a0%e7%9a%84URL" rel="">无</a><br>
<strong>📄 论文题目</strong>：<a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Yang_Improving_Distant_3D_Object_Detection_Using_2D_Box_Supervision_CVPR_2024_paper.pdf" target="_blank" rel="noopener noreffer ">Improving Distant 3D Object Detection Using 2D Box Supervision</a></p>
</blockquote>
<hr>
<p>这篇由 NVIDIA 等机构的研究人员发表在 CVPR 2024 的重磅论文 <strong>《Improving Distant 3D Object Detection Using 2D Box Supervision》(简称 LR3D)</strong>，切入了一个目前高阶自动驾驶极其头疼的落地难题：<strong>远距离感知（Long-Range Detection）</strong>。它展示了如何用最廉价的标注，榨取单目视觉在远距离上的极限潜力。</p>]]></description>
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