公开(公告)号：US20130235847A1

公开(公告)日：2013-09-12

申请号：US13866900

申请日：2013-04-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD

Inventor： Jilin Li ,  Guoan Zhou ,  Xiaochun Zheng ,  Xiaopeng Zhang

IPC: H04W36/00

CPC classification number: H04W36/0022 ,  H04W36/26 ,  H04W48/18 ,  H04W88/06

Abstract: A network selection method and a terminal device are applied to the field of communication technologies. The network selection method is applied to a terminal device based on a subscriber identity module SIM card, and includes preferentially camping a circuit switched CS domain on a first network and preferentially bearing a CS domain service by the first network; preferentially camping a packet switched PS domain on a second network and preferentially bearing a PS domain service by the second network; when communication quality of the second network fails to meet requirements of the PS domain service, camping the PS domain on the first network and bearing the PS domain service by the first network.

Abstract translation: 网络选择方法和终端设备应用于通信技术领域。 网络选择方法基于用户身份模块SIM卡应用于终端设备，并且优先驻留在第一网络上的电路交换CS域并且优先承载第一网络的CS域服务; 优先在第二网络上驻留分组交换的PS域并且优先承载第二网络的PS域服务; 当第二网络的通信质量不能满足PS域服务的要求时，在第一个网络上驻留PS域并由第一个网络承载PS域服务。

公开(公告)号：US12169783B2

公开(公告)日：2024-12-17

申请号：US17586136

申请日：2022-01-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Qixiang Ye ,  Tianliang Zhang ,  Jianzhuang Liu ,  Xiaopeng Zhang ,  Qi Tian ,  Lihui Jiang

IPC: G06N3/084 ,  G06F18/25 ,  G06N3/045 ,  G06V10/20 ,  G06V10/77 ,  G06V10/80 ,  G06V10/82 ,  G06V20/40 ,  G06V20/52 ,  G06V20/58 ,  G06V40/10

Abstract: This application relates to the field of artificial intelligence and the field of computer vision. The method includes performing feature extraction on an image to obtain a basic feature map of the image, and determining a proposal of a region possibly including a pedestrian in the image. The basic feature map of the image is then processed to obtain an object visibility map in which a response to a pedestrian visible part is greater than a response to a pedestrian blocked part and a background part. The method further performs weighted summation processing on the object visibility map and the basic feature map to obtain an enhanced feature map of the image, and determines, based on the proposal of the image and the enhanced feature map of the image, a bounding box including a pedestrian in the image and a confidence level of the bounding box including the pedestrian.

公开(公告)号：US12026938B2

公开(公告)日：2024-07-02

申请号：US17573220

申请日：2022-01-11

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yuhui Xu ,  Lingxi Xie ,  Xiaopeng Zhang ,  Xin Chen ,  Guojun Qi ,  Qi Tian

IPC: G06V10/82 ,  G06N3/082 ,  G06N3/10 ,  G06V10/764

CPC classification number: G06V10/82 ,  G06N3/082 ,  G06N3/10 ,  G06V10/764

Abstract: Example neural architecture search methods and image processing methods and apparatuses in the field of computer vision in the field of artificial intelligence are provided. The example neural architecture search method includes determining search space and a plurality of construction units, superimposing the plurality of construction units to obtain a search network, adjusting, in the search space, network architectures of the construction units in the search network, to obtain optimized construction units, and establishing a target neural network based on the optimized construction units. In each construction unit, some channels of an output feature map of each node are processed by using a to-be-selected operation to obtain a processed feature map, and the processed feature map and a remaining feature map are stitched and then input to a next node.