no code implementations • IEEE Access 2020 • Yajun Xu, Shogo Arai, Fuyuki Tokuda, Kazuhiro Kosuge
A great convergence of training loss often requires a large amount of human-annotated data, while making such a 3D dataset is time-consuming.
3D Instance Segmentation Autonomous Driving +2