OccM3D-SS: Bridging Sparse Supervision With Dense 3D Perception via Semi-Supervised Occupancy Learning
Monocular 3D object detection faces inherent challenges in reconstructing accurate 3D spatial structures from 2D images due to the lack of depth cues. Existing paradigms either struggle with limited 3D representation capability, e.g. depth estimation pipeline, or rely heavily on fine-grained supervision annotations, e....