The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 14, 2023

Filed:

Sep. 29, 2020
Applicant:

Huawei Cloud Computing Technologies Co., Ltd., Guizhou, CN;

Inventors:

Changzheng Zhang, Shenzhen, CN;

Xin Jin, Beijing, CN;

Dandan Tu, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/20 (2022.01); G06T 7/11 (2017.01); G06K 9/62 (2022.01); G06N 3/04 (2023.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06V 10/255 (2022.01); G06K 9/6215 (2013.01); G06K 9/6218 (2013.01); G06K 9/6256 (2013.01); G06N 3/0454 (2013.01); G06T 7/11 (2017.01); G06V 10/454 (2022.01); G06T 2207/20081 (2013.01);
Abstract

An object detection model training method performed by a computing device, includes obtaining a system parameter including at least one of a receptive field of a backbone network, a size of a training image, a size of a to-be-detected object in the training image, a training computing capability, or a complexity of the to-be-detected object, determining a configuration parameter based on the system parameter, establishing a variable convolution network based on the configuration parameter and a feature map of the backbone network, recognizing the to-be-detected object based on a feature of the variable convolution network, and training the backbone network and the variable convolution network, where a convolution core used by any variable convolution layer may be offset in any direction in a process of performing convolution.


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