公开(公告)号：US20230035366A1

公开(公告)日：2023-02-02

申请号：US17964739

申请日：2022-10-12

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Donghuan LU ,  Junjie ZHAO ,  Kai MA ,  Yefeng ZHENG

IPC: G06V10/774 ,  G06V10/764 ,  G06V10/32

Abstract: An image classification model training method and apparatus are provided. Classification results of each image outputted by an image classification model are obtained. When the classification results outputted by the image classification model do not meet a reference condition, a reference classification result is constructed based on the classification results outputted by the image classification model. Because the reference classification result can indicate a probability that images belong to each class, a parameter of the image classification model is updated to obtain a trained image classification model based on a total error value between the classification results of the each image and the reference classification result.