公开(公告)号：US20230401838A1

公开(公告)日：2023-12-14

申请号：US18455918

申请日：2023-08-25

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xinghao CHEN ,  Wenshuo LI ,  Yunhe WANG ,  Chunjing XU

IPC: G06V10/82 ,  G06V10/77 ,  G06V10/80

CPC classification number: G06V10/82 ,  G06V10/7715 ,  G06V10/803

Abstract: An image processing method is disclosed in embodiments of this disclosure and is applied to the field of artificial intelligence. The method includes: obtaining an input feature map of an image to be processed, where the input feature map includes a first input sub-feature map and a second input sub-feature map, and resolution of the first input sub-feature map is higher than resolution of the second input sub-feature map; performing feature fusion processing on the input feature map by using a target network, to obtain an output feature map, where a feature of the first input sub-feature map is fused to a feature of the second input sub-feature map from a low level to a high level in the target network; and performing, based on the output feature map, object detection on the image to be processed, to obtain an object detection result.

公开(公告)号：US20250014324A1

公开(公告)日：2025-01-09

申请号：US18894274

申请日：2024-09-24

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wenshuo LI ,  Hanting CHEN ,  Jianyuan GUO ,  Ziyang ZHANG ,  Yunhe WANG

IPC: G06V10/82 ,  G06V10/776

Abstract: An image processing method, a neural network training method, and a related device are provided. The method may apply an artificial intelligence technology to the image processing field. The method includes: performing feature extraction on a to-be-processed image by using a first neural network, to obtain feature information of the to-be-processed image. The performing feature extraction on a to-be-processed image by using a first neural network includes: obtaining first feature information corresponding to the to-be-processed image, where the to-be-processed image includes a plurality of image blocks, and the first feature information includes feature information of the image block; sequentially inputting feature information of at least two groups of image blocks into an LIF module, to obtain target data generated by the LIF module; and obtaining, based on the target data, updated feature information of the to-be-processed image including the image block.

公开(公告)号：US20240185573A1

公开(公告)日：2024-06-06

申请号：US18441229

申请日：2024-02-14

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Han SHU ,  Jiahao WANG ,  Hanting CHEN ,  Wenshuo LI ,  Yunhe WANG

IPC: G06V10/77 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V10/7715 ,  G06V10/764 ,  G06V10/806 ,  G06V10/82

Abstract: This disclosure provides an image classification method and a related device thereof. The method includes the following operations: After obtaining a target image, a transformer network may perform linear transformation processing based on the target image to obtain a Q-feature, a K-feature, and a V-feature. The transformer network calculates a distance between the Q-feature and the K-feature to obtain an attention feature. Then, the transformer network performs fusion processing on the attention feature and the V-feature, and obtains a classification result of the target image based on a fused feature.