FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
Yi Wei,Shang Su,Jiwen Lu,Jie Zhou,Yi Wei,Shang Su,Jiwen Lu,Jie Zhou
In this paper, we investigate the problem of weakly supervised 3D vehicle detection. Conventional methods for 3D object detection usually require vast amounts of manually labelled 3D data as supervision signals. However, annotating large datasets needs huge human efforts, especially for 3D area. To tackle this problem, we propose a frustum-aware geometric reasoning (FGR) method to detect vehicles ...
