公开(公告)号：US20220147822A1

公开(公告)日：2022-05-12

申请号：US17459066

申请日：2021-08-27

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

Inventor： Ying XIN ,  Yuan FENG ,  Guanzhong WANG ,  Pengcheng YUAN ,  Bin ZHANG ,  Xiaodi WANG ,  Xiang LONG ,  Yan PENG ,  Honghui ZHENG ,  Shumin HAN

IPC: G06N3/08 ,  G06N3/04 ,  G06V10/82 ,  G06V10/766 ,  G06V10/77

Abstract: Provided are a training method and apparatus for a target detection model, a device and a storage medium. The training method is described below. A feature map of a sample image is processed through a classification network of an initial model and a heat map and a classification prediction result of the feature map are obtained, a classification loss value is determined according to the classification prediction result and classification supervision data of the sample image, and a category probability of pixels in the feature map is determined according to the heat map of the feature map and a probability distribution map of the feature map is obtained; the feature map is processed through a regression network of the initial model and a regression prediction result is obtained, and a regression loss value is determined.