2021
LiDAR few-shot domain adaptation via integrated CycleGAN and 3D object detector with joint learning delay
ICRA 2021
he success of supervised LiDAR perception methods relies on the availability of large sets of labeled point cloud data, for which the labeling process is costly and time consuming. Given unpaired LiDAR datasets of similar sizes from two domains, with one (source) containing task-specific labels e.g.