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Jun, 2019
三角化学习网络:从单目到立体 3D 物体检测
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection
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Zengyi Qin, Jinglu Wang, Yan Lu
TL;DR
本文研究从立体图像中检测3D物体的问题,提出了使用3D锚点构建物体级对应的方法来增强检测和定位的深度神经网络,使用经济高效的渠道重新加权策略来增强表示特征。在KITTI数据集上,这些方法都优于现有方法。
Abstract
In this paper, we study the problem of
3d object detection
from
stereo images
, in which the key challenge is how to effectively utilize stereo information. Different from previous methods using pixel-level depth
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