https://zhaoylee.github.io/Blogs/tags/%E6%8A%95%E5%BD%B1%E9%AA%8C%E8%AF%81/ Recent content in 投影验证 on zhaoyli's Blog Hugo zh-cn [©2024 zhaoyli&rsquo;s Blog] https://zhaoylee.github.io/) Mon, 16 Mar 2026 01:45:51 +0000 https://zhaoylee.github.io/Blogs/posts/plug_and_play/ocm3d--object-centric-monocular-3d-object-detection/ Mon, 16 Mar 2026 09:12:18 +0800 https://zhaoylee.github.io/Blogs/posts/plug_and_play/ocm3d--object-centric-monocular-3d-object-detection/ <hr> <blockquote> <p><strong>🏛️ 会议/期刊</strong>：arxiv<br> <strong>📅 发表年份</strong>：2021<br> <strong>💻 开源代码</strong>：<a href="https://github.com/mrsempress/OBMO_GUPNet/blob/main/tools/offline_OBMO.py">OBMO_GUPNet</a><br> <strong>📄 论文题目</strong>：<a href="https://arxiv.org/pdf/2104.06041">OCM3D: Object-Centric Monocular 3D Object Detection</a></p> </blockquote> <hr> <h3 id="1-文献背景研究目的与核心问题">1. 文献背景、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（Monocular 3D Object Detection）是一个高度病态（ill-posed）的问题。主流方法通常依赖纯图像或将其转化为伪激光雷达（Pseudo-LiDAR）点云。然而，前者难以捕捉像素间的 3D 空间几何关系，后者则受困于单目深度估计带来的巨大点云噪声。</p> https://zhaoylee.github.io/Blogs/posts/plug_and_play/streampetr-qaf2d--enhancing-3d-object-detection-with-2d-detection-guided-query-anchors/ Sun, 15 Mar 2026 21:59:16 +0800 https://zhaoylee.github.io/Blogs/posts/plug_and_play/streampetr-qaf2d--enhancing-3d-object-detection-with-2d-detection-guided-query-anchors/ <hr> <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="https://github.com/nullmax-vision/QAF2D">nullmax-vision/QAF2D-CVPR 2024</a><br> <strong>📄 论文题目</strong>：<a href="https://arxiv.org/pdf/2403.06093">Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors</a></p> </blockquote> <hr> <p>这篇发表于 CVPR 2024 的论文 <strong>《Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors》(简称 QAF2D)</strong> 极具工程实用价值。它没有死磕 3D 空间中的特征提取瓶颈，而是打出了一套极其聪明的“降维组合拳”，巧妙地利用成熟的 2D 视觉技术来为 3D 检测器“引路”。</p>