Domain Generalization of 3D Object Detection by Density-Resampling

arXiv:2311.10845v2 Announce Type: replace
Abstract: Point-cloud-based 3D object detection suffers from performance degradation when encountering data with novel domain gaps. To tackle it, the single-domain generalization (SDG) aims to generalize the detection model trained in a limited single source domain to perform robustly on unexplored domains. In this paper, we propose an SDG method to improve the generalizability of 3D object detection to unseen target domains. Unlike prior SDG works for 3D object detection solely focusing on data augmentation, our …

3d object 3d object detection abstract arxiv cloud cloud-based cs.cv data detection domain domains novel paper performance point-cloud resampling type