公开(公告)号：US11620815B2

公开(公告)日：2023-04-04

申请号：US17938457

申请日：2022-10-06

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

Inventor： Guanghua Yu ,  Qingqing Dang ,  Haoshuang Wang ,  Guanzhong Wang ,  Xiaoguang Hu ,  Dianhai Yu ,  Yanjun Ma ,  Qiwen Liu ,  Can Wen

IPC: G06V10/77 ,  G06V10/82 ,  G06V10/80 ,  G06V10/764

Abstract: A method for detecting an object in an image includes: obtaining an image to be detected; generating a plurality of feature maps based on the image to be detected by a plurality of feature extracting networks in a neural network model trained for object detection, in which the plurality of feature extracting networks are connected sequentially, and input data of a latter feature extracting network in the plurality of feature extracting networks is based on output data and input data of a previous feature extracting network; and generating an object detection result based on the plurality of feature maps by an object detecting network in the neural network model.