E Li

JST: Joint Self-training for Unsupervised Domain Adaptation on 2D&3D Object Detection

2D&3D object detection always suffers from a dramatic performance drop when transferring the model trained in the source domain to the target domain due to various domain shifts. In this paper, we propose a Joint Self-Training (JST) framework to improve 2D image and 3D point cloud detectors with ali…