公开(公告)号：US20230306081A1

公开(公告)日：2023-09-28

申请号：US18054233

申请日：2022-11-10

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xiaoqing YE ,  Ruihang CHU ,  Hao SUN

IPC: G06K9/62 ,  G06T7/11

CPC classification number: G06K9/6259 ,  G06K9/6262 ,  G06K9/6218 ,  G06K9/6261 ,  G06T7/11 ,  G06T2207/10028 ,  G06T2207/20081

Abstract: A method for training a point cloud processing model and a method for performing instance segmentation on a point cloud are provided. The method includes: labeling an unlabeled point cloud according to a labeled point cloud to obtain a sample point cloud; inputting the sample point cloud to a point cloud processing model to obtain first predicted semantic information of the sample point cloud and a first predicted offset of the sample point cloud; determining a training loss according to the first predicted semantic information, the first predicted offset, a sample label corresponding to the sample point cloud, and original coordinate information of the sample point cloud; and training the point cloud processing model with the training loss.