VoxelNet：End-to-End Learning for Point Cloud Based 3D Object Detection閱讀筆記
前言 本文首發於公衆號【3D視覺工坊】，原文請見VoxelNet閱讀筆記 主要思想和創新點 三維點雲中目標的精確檢測是許多應用中的核心問題，如自主導航、管家機器人和增強/虛擬現實等。爲了將高度稀疏的激光雷達點雲與區域建議網絡（RPN）連接，大多數現有的工作都集中在手工製作的特徵表示上，例如，鳥瞰圖投影。 這項工作消除了人工特徵工程對三維點雲的需求，提出了VoxelNet，一種將特徵提取和box預測
相關文章
- 1. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
- 2. 論文閱讀速記：PointRCNN：3D Object Proposal Generation and Detection from Point Cloud
- 3. 三維目標檢測論文閱讀：VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
- 4. 3D Object Detection——Voxel based methods
- 5. Feature Pyramid Networks for Object Detection 閱讀筆記
- 6. 【文章閱讀】STD：Sparse-to-Dense 3D Object Detector for Point Cloud
- 7. 論文閱讀CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 8. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 9. 論文閱讀筆記《RepMet Representative-based metric learning for classification and few-shot object detection》
- 10. A Simple Pooling-Based Design for Real-Time Salient Object Detection閱讀筆記
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • JDK13 GA發佈：5大特性解讀
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
- 2. 論文閱讀速記：PointRCNN：3D Object Proposal Generation and Detection from Point Cloud
- 3. 三維目標檢測論文閱讀：VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
- 4. 3D Object Detection——Voxel based methods
- 5. Feature Pyramid Networks for Object Detection 閱讀筆記
- 6. 【文章閱讀】STD：Sparse-to-Dense 3D Object Detector for Point Cloud
- 7. 論文閱讀CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
- 8. Deep Hough Voting for 3D Object Detection in Point Clouds 論文筆記
- 9. 論文閱讀筆記《RepMet Representative-based metric learning for classification and few-shot object detection》
- 10. A Simple Pooling-Based Design for Real-Time Salient Object Detection閱讀筆記