Diversity matters: Fully exploiting depth clues for reliable monocular 3d object detection

Z Li, Z Qu, Y Zhou, J Liu, H Wang… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …
被引用次数：52 相关文章

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

Z Li, Z Qu, Y Zhou, J Liu, H Wang… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
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 …

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

Z Li, Z Qu, Y Zhou, J Liu, H Wang, L Jiang - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

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

Z Li, Z Qu, Y Zhou, J Liu, H Wang… - 2022 IEEE/CVF …, 2022 - computer.org
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 …

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

Z Li, Z Qu, Y Zhou, J Liu, H Wang, L Jiang - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
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 …