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Mar, 2024
利用2D边界框监督改善远距离3D物体检测
Improving Distant 3D Object Detection Using 2D Box Supervision
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Zetong Yang, Zhiding Yu, Chris Choy, Renhao Wang, Anima Anandkumar...
TL;DR
使用仅有的2D监督信息,我们提出了LR3D框架,通过学习远距离物体的深度估计,并使得基于相机的方法能够在200米以上的距离实现与完整3D监督相当的准确性。
Abstract
Improving the detection of distant 3d objects is an important yet challenging task. For camera-based
3d perception
, the annotation of 3d bounding relies heavily on
lidar
for accurate depth information. As such, t
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