no code implementations • 17 Mar 2023 • Bingqi Shen, Shuwei Dai, Yuyin Chen, Rong Xiong, Yue Wang, Yanmei Jiao
In this paper, we propose GOOD, a general optimization-based fusion framework that can achieve satisfying detection without training additional models and is available for any combinations of 2D and 3D detectors to improve the accuracy and robustness of 3D detection.