2022
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection
RA-L 2022
Monocular 3D object detection continues to attract attention due to the cost benefits and wider availability of RGB cameras. Despite the recent advances and the ability to acquire data at scale, annotation cost and complexity still limit the size of 3D object detection datasets in the supervised set