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Multi-View 3D Object Detection Network for Autonomous Driving
时间 2021-01-02
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Multi-View 3D Object Detection Network for Autonomous Driving 这篇论文主要针对自主驾驶场景中的高精度三维目标检测。文章提出了多视图三维网络(mv3d),一个以激光点云与RGB图像作为输入去预测定向的三维bounding box的融合框架。论文编码稀疏的三维点云数据用紧凑的多视图表示。网络是由两个子网络组成:一个是三维目标区域推荐网络,
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相关文章
1.
Pillar-based Object Detection for Autonomous Driving
2.
Stereo R-CNN based 3D Object Detection for Autonomous Driving
3.
[论文解读]Multi-View 3D Object Detection Network for Autonomous Driving
4.
MV3D:Multi-View 3D Object Detection Network for Autonomous Driving(翻译)
5.
解读ECCV2020:Pillar-based Object Detection for Autonomous Driving
6.
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论文阅读CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
8.
MODNet-Motion and Appearance based Moving Object Detection Network for Autonomous Driving
9.
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving Yurong
10.
【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles
>>更多相关文章<<