FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection
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 …