公开(公告)号：US12039440B2

公开(公告)日：2024-07-16

申请号：US17582880

申请日：2022-01-24

Applicant: Huawei Technologies Co., Ltd. ,  Peking University

Inventor： Weiran Huang ,  Aoxue Li ,  Zhenguo Li ,  Tiange Luo ,  Liwei Wang

IPC: G06V10/774 ,  G06N3/045 ,  G06N3/08 ,  G06V10/82

CPC classification number: G06N3/08 ,  G06N3/045 ,  G06V10/774 ,  G06V10/82

Abstract: An image classification method and apparatus, and an image classification model training method and apparatus are provided, which are related to an image recognition technology in the artificial intelligence field and more specifically, to the computer vision field. The method includes: obtaining a to-be-processed image; and classifying the to-be-processed image based on a preset global class feature, to obtain a classification result of the to-be-processed image. The preset global class feature includes a plurality of class features obtained through training based on a plurality of training images in a training set. The plurality of class features in the preset global class feature are used to indicate visual features of all classes in the training set.

公开(公告)号：US20240185568A1

公开(公告)日：2024-06-06

申请号：US18400930

申请日：2023-12-29

Applicant: Huawei Technologies Co., Ltd.

Inventor： Aoxue Li ,  Zhenguo Li

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

CPC classification number: G06V10/764 ,  G06V10/7715 ,  G06V10/806

Abstract: An image classification method includes obtaining a first feature of a reference image and a second feature of a to-be-classified image; generating a third feature based on the first feature and the second feature; generating a first classification result based on the first feature, where the first classification result is used to determine a category of the reference image; generating a second classification result based on the third feature; and generating a third classification result based on the first classification result and the second classification result, where the third classification result is used to determine a category of the to-be-classified image.