2025
EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving
IROS 2025
3D occupancy prediction (3DOcc) is a rapidly rising and challenging perception task in the field of autonomous driving. Existing 3D occupancy networks (OccNets) are both computationally heavy and label-hungry. In terms of model complexity, OccNets are commonly composed of heavy Conv3D modules or tra