Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds
Complex-YOLO: An Euler-Region-Proposal for Real-time 3D Object Detection on Point Clouds 简介 3D目标检测整体框架 点云预处理 网络结构 E-RPN Anchor Box Loss 简介 在这项工作中，作者通过特定的复数回归策略扩展了YOLOv2(一个用于RGB图像的快速2D目标检测网络)，来在笛卡尔空间中估
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相关文章
- 1. PointPillars: Fast Encoders for 3D Object Detection from Point Clouds
- 2. 【3D计算机视觉】Deep Hough Voting for 3D Object Detection in Point Clouds
- 3. PIXOR Real-time 3D Object Detection from Point Clouds
- 4. [点云目标检测]-A Hierarchical Graph Network for 3D Object Detection on Point Clouds
- 5. Deep Hough Voting for 3D Object Detection in Point Clouds 论文笔记
- 6. 3D Point Clouds-1
- 7. RepPoints: Point Set Representation for Object Detection
- 8. 【论文阅读】SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
- 9. 【论文阅读】【3D目标检测】StarNet: Targeted Computation for Object Detection in Point Clouds
- 10. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient CNN论文综述（2016）