公开(公告)号：US20240202535A1

公开(公告)日：2024-06-20

申请号：US18586050

申请日：2024-02-23

Applicant: HUAWEI CLOUD COMPUTING TECHNOLOGIES CO., LTD.

Inventor： Bei TONG ,  Xiaoyuan YU

IPC: G06N3/09 ,  G06N3/045

CPC classification number: G06N3/09 ,  G06N3/045

Abstract: An artificial intelligence (AI) model training method is provided, including: determining a to-be-trained first model and a to-be-trained second model, where the first model and the second model are two heterogeneous AI models; inputting training data into the first model and the second model, to obtain a first output obtained by performing inference on the training data by the first model and a second output obtained by performing inference on the training data by the second model; and iteratively updating a model parameter of the first model by using the second output as a supervision signal of the first model and with reference to the first output, until the first model meets a first preset condition.

公开(公告)号：US20240119130A1

公开(公告)日：2024-04-11

申请号：US18339458

申请日：2023-06-22

Applicant: Huawei Cloud Computing Technologies Co., Ltd.

Inventor： Ziwen HU ,  Anping LI ,  Xiaoyuan YU ,  Pu CHEN

IPC: G06F21/32 ,  G06V40/16 ,  G06V40/40

CPC classification number: G06F21/32 ,  G06V40/161 ,  G06V40/40

Abstract: A front-end device is configured to capture a light point image of an authenticatee and send the light point image to the back-end device, where the light point image is an image captured from the authenticatee under irradiation of multi-light points, and the light point image includes a face of the authenticatee. The back-end device of the authentication system is configured to perform face anti-spoofing detection on the authenticatee based on the received light point image to obtain an authentication result.

公开(公告)号：US20230298348A1

公开(公告)日：2023-09-21

申请号：US18322288

申请日：2023-05-23

Applicant: HUAWEI CLOUD COMPUTING TECHNOLOGIES CO., LTD.

Inventor： Ruizhi LU ,  Yi XIE ,  Xiaoyuan YU ,  Pu CHEN

IPC: G06V20/40 ,  G06V40/10 ,  G06V10/74 ,  G06V10/776 ,  G06V20/50

CPC classification number: G06V20/41 ,  G06V20/46 ,  G06V40/10 ,  G06V10/761 ,  G06V10/776 ,  G06V20/50 ,  G06V10/774

Abstract: This disclosure relates to a clothing standardization detection method. In an example method, a clothing standardization detection apparatus obtains a video frame sub-image and a reference sub-image. The video frame sub-image includes an image of a first wear style of a target part of the target object in the first scenario, and the reference includes an image of a standard wear style of a target part of the reference object in the first scenario. Then, the video frame sub-image and the reference sub-image are processed by using a target model, to obtain a first processing result. The target model is a trained artificial intelligence AI model, and the first processing result indicates a similarity between the first wear style of the target part of the target object and the standard wear style of the target part of the reference object.