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 )
Benchmarks
These leaderboards are used to track progress in 3D Object Detection From Monocular Images
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Waymo Open Dataset
KITTI-360
3D-POP
Most implemented papers
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
We argue that the cause of failure is the sensitivity of depth regression losses to noise of larger objects.
