公开(公告)号：US20230075836A1

公开(公告)日：2023-03-09

申请号：US17986081

申请日：2022-11-14

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Fuhui TANG ,  Xiaopeng ZHANG ,  Minzhe NIU ,  Zichen WANG ,  Jianhua HAN ,  Qi TIAN

IPC: G06V10/774 ,  G06V10/40 ,  G06V10/82 ,  G06V10/764

Abstract: A model training method and a related apparatus are provided, which may be used in computer vision to perform image detection. The method includes: extracting feature information in a target image; further separately extracting features of a target object from the feature information by using a Gaussian mask to obtain a first local feature and a second local feature; determining a feature loss by using the first local feature and the second local feature; performing prediction by using the first network and the second network based on a same region proposal set to obtain a first classification predicted value and a second classification predicted value, and obtaining a classification loss based on the first classification predicted value and the second classification predicted value; and training the second network based on the classification loss and the feature loss to obtain a target network.