3D Object Detection From Monocular Images
11 papers with code • 3 benchmarks • 3 datasets
This is the task of detecting 3D objects from monocular images (as opposed to LiDAR based counterparts). It is usually associated with autonomous driving based tasks.
( Image credit: Orthographic Feature Transform for Monocular 3D Object Detection )
Latest papers
Orthographic Feature Transform for Monocular 3D Object Detection
This allows us to reason holistically about the spatial configuration of the scene in a domain where scale is consistent and distances between objects are meaningful.