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    <title>Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test Time Shifts</title>
    <link>https://zhaoylee.github.io/Blogs_lovelt/posts/adaptive-dual-uncertainty-optimization---boosting-monocular-3d-object-detection-under-test-time-shifts/</link>
    <pubDate>Mon, 30 Mar 2026 10:44:00 &#43;0800</pubDate>
    <author>zhaoylee</author>
    <guid>https://zhaoylee.github.io/Blogs_lovelt/posts/adaptive-dual-uncertainty-optimization---boosting-monocular-3d-object-detection-under-test-time-shifts/</guid>
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                <img src="https://cdn.jsdelivr.net/gh/zhaoylee/BlogImage@main//blogs/20260330113435293.png" referrerpolicy="no-referrer">
            </div>针对 M3OD 在未知域“测试时偏移”导致的性能断崖，本文提出双重不确定性优化 (DUO)。核心是通过无监督 Focal Loss 压制语义模糊，并用语义感知法向量约束修复空间几何坍塌，大幅提升落地鲁棒性。]]></description>
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