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. 26, 2024

Filed:

Aug. 17, 2021
Applicant:

Ubtech Robotics Corp Ltd, Shenzhen, CN;

Inventors:

Yepeng Liu, Shenzhen, CN;

Yusheng Zeng, Shenzhen, CN;

Jun Cheng, Shenzhen, CN;

Jing Gu, Shenzhen, CN;

Yue Wang, Shenzhen, CN;

Jianxin Pang, Shenzhen, CN;

Assignee:

UBTECH ROBOTICS CORP LTD, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); G06N 3/04 (2023.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06T 7/74 (2017.01); G06N 3/04 (2013.01); G06T 7/75 (2017.01); G06V 40/164 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

An object detection model generation method as well as an electronic device and a computer readable storage medium using the same are provided. The method includes: during the iterative training of the to-be-trained object detection model, the detection accuracy of the iteration nodes of the object detection model is sequentially determined according to the node order, and the mis-detected negative samples of the object detection model at the iteration nodes with the detection accuracy less than or equal to a preset threshold are enhanced. Then the object detection model is trained at the iteration node based on the enhanced negative samples and a first amount of preset training samples. After the training at the iteration nodes are completed, it returns to the step of sequentially determining the detection accuracy of the iteration nodes of the object detection model until the training of the object detection model is completed.


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