A Depth Complementary Framework for Monocular 3D Object Detection in Autonomous Driving.
Monocular 3D object detection offers a cost-effective solution for 3D localization from a single image in autonomous driving, yet its accuracy remains fundamentally limited by depth estimation due to the ill-posed nature of 2D-to-3D mapping. Existing methods attempt to reduce estimation variance by ensembling predictio...