论文笔记：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information
论文笔记：Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information 简介 本文提出了一个融合了RGB-D和3D点云信息的3-D目标检测方法。融合了RGB-D的方法在速度有所下降的情况下准确率得到了一定的提高。 方法 这是一个三阶段方法。 第一阶段，用PointRCNN的第一阶段提取点云的3D Proposal 第
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相关文章
- 1. CVPR2018_Frustum PointNets for 3D Object Detection from RGB-D Data
- 2. 论文阅读速记：PointRCNN：3D Object Proposal Generation and Detection from Point Cloud
- 3. Deep Hough Voting for 3D Object Detection in Point Clouds 论文笔记
- 4. BirdNet: a 3D Object Detection Framework from LiDAR information
- 5. 《论文阅读》ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
- 6. 论文笔记：Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
- 7. 综述：3D目标检测于RGB-D（Object detection in RGB-D images）
- 8. 【论文阅读】【3D目标检测】BirdNet: a 3D Object Detection Framework from LiDAR Information
- 9. 3D Object Detection 3D目标检测综述
- 10. Joint 3D Proposal Generation and Object Detection from View Aggregation论文学习