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论文阅读CVPR2019——Stereo R-CNN based 3D Object Detection for Autonomous Driving
时间 2020-12-30
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这是一篇来自DJI与港科大合作的文章,作者分别是li peiliang,陈晓智 @陈晓智(DJI,MV3D的作者)和港科大的shenshaojie老师。 论文链接:https://arxiv.org/pdf/1902.09738.pdf 摘要 这篇文章通过充分利用立体图像中的稀疏,密集,语义和几何信息,提出了一种用于自动驾驶的称为立体声R-CNN的三维物体检测方法。扩展了Faste
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相关文章
1.
Stereo R-CNN based 3D Object Detection for Autonomous Driving
2.
Pillar-based Object Detection for Autonomous Driving
3.
解读ECCV2020:Pillar-based Object Detection for Autonomous Driving
4.
[论文解读]Multi-View 3D Object Detection Network for Autonomous Driving
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[论文解读] 3DOP: 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
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MV3D:Multi-View 3D Object Detection Network for Autonomous Driving(翻译)
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MODNet-Motion and Appearance based Moving Object Detection Network for Autonomous Driving
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