3D Object Detection From Monocular Images
1 papers with code • 0 benchmarks • 0 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 )
Benchmarks
These leaderboards are used to track progress in 3D Object Detection From Monocular Images
Most implemented papers
Orthographic Feature Transform for Monocular 3D Object Detection
tom-roddick/oft
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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.
