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:
Jul. 25, 2023

Filed:

Sep. 14, 2020
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Jie Miao, Shenzhen, CN;

Chen Ran, Shenzhen, CN;

Dianping Xu, Shenzhen, CN;

Xiaoyi Jia, Shenzhen, CN;

Mei Jiang, Shenzhen, CN;

Yugeng Lin, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/20 (2022.01); G06N 3/08 (2023.01); G06V 20/64 (2022.01); G06F 18/214 (2023.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06K 7/14 (2006.01);
U.S. Cl.
CPC ...
G06V 10/255 (2022.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06K 7/1413 (2013.01); G06K 7/1417 (2013.01); G06V 2201/07 (2022.01);
Abstract

This application relates to a target detection method performed at a computer device. The method includes: obtaining a to-be-detected image; extracting a first image feature and a second image feature corresponding to the to-be-detected image; performing dilated convolution to the second image feature, to obtain a third image feature corresponding to the to-be-detected image; performing classification and regression to the first image feature and the third image feature, to determine candidate position parameters corresponding to a target object in the to-be-detected image and degrees of confidence corresponding to the candidate position parameters; and selecting a valid position parameter from the candidate position parameters according to their corresponding degrees of confidence, and determining a position of the target object in the to-be-detected image according to the valid position parameter. The solutions in this application can improve robustness and consume less time.


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