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:
Dec. 08, 2020

Filed:

Aug. 14, 2018
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Haidian District Beijing, CN;

Inventors:

Renliang Weng, Haidian District Beijing, CN;

Tao He, Haidian District Beijing, CN;

Gang Zhang, Haidian District Beijing, CN;

Jingtuo Liu, Haidian District Beijing, CN;

Wenxian Liu, Haidian District Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2006.01); G06F 17/15 (2006.01); G06K 9/66 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06N 7/00 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00288 (2013.01); G06F 17/15 (2013.01); G06K 9/6267 (2013.01); G06K 9/66 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06N 7/005 (2013.01); G06N 20/10 (2019.01);
Abstract

The present disclosure provides a method and apparatus for generating training data for human face recognition, a device and a computer storage medium, wherein the method comprises: inputting accessory-not-worn face images into a generative network, to obtain accessory-worn face images; using the accessory-worn face images as second training data for building the human face recognition model; wherein the generative network is a generative network in a generative adversarial network obtained by pre-training with first training data, the first training data including the accessory-not-worn face images and accessory-worn face images corresponding to a same user identifier. In the present disclosure, the accessory-worn face images obtained in a data augmentation manner greatly expand the amount of training data for building the human face recognition model, and thereby improve the recognition accuracy of the accessory-worn face images.


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