MonoCD: Monocular 3D Object Detection with Complementary Depths

arXiv:2404.03181v1 Announce Type: new
Abstract: Monocular 3D object detection has attracted widespread attention due to its potential to accurately obtain object 3D localization from a single image at a low cost. Depth estimation is an essential but challenging subtask of monocular 3D object detection due to the ill-posedness of 2D to 3D mapping. Many methods explore multiple local depth clues such as object heights and keypoints and then formulate the object depth estimation as an ensemble of multiple depth predictions …

3d object 3d object detection arxiv cs.cv detection object type