Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection

Zhuoling Li, Zhan Qu, Yang Zhou +3

As an inherently ill-posed problem, depth estimation from single images is the most challenging part of monocular 3D object detection (M3OD). Many existing methods rely on preconce…