公开(公告)号：US20230111287A1

公开(公告)日：2023-04-13

申请号：US18065405

申请日：2022-12-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xu Lan ,  Sarah Parisot ,  Steven George McDonagh ,  Weiran Huang

IPC: G06N20/00 ,  G06V10/74 ,  G06V10/764 ,  G06V10/77

Abstract: A computer system and method are provided for training a machine learning system to perform a classification task by classifying input data into one of a plurality of classes. The system is configured to: receive per class training data from which per class representations can be derived, wherein each class is described by multiple representations; process the training data to form, for at least one class, a first proxy for a relatively global portion of an item of training data and multiple proxies for distinct relatively local portions of the item of training data, each proxy corresponding to a representation of the data belonging to that class.

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.