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:
Jun. 18, 2019

Filed:

Sep. 13, 2017
Applicants:

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

Tsinghua University, Beijing, CN;

Inventors:

Kun Xu, Shenzhen, CN;

Xiaowei Guo, Shenzhen, CN;

Feiyue Huang, Shenzhen, CN;

Ruixin Zhang, Shenzhen, CN;

Juhong Wang, Shenzhen, CN;

Shimin Hu, Shenzhen, CN;

Bin Liu, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06K 9/46 (2013.01); G06K 9/6262 (2013.01); G06K 9/6273 (2013.01); G06K 9/6292 (2013.01); G06K 9/66 (2013.01); G06N 3/0454 (2013.01);
Abstract

An image classification method is provided. The method includes: inputting a to-be-classified image into a plurality of neural network models; obtaining data output by multiple non-input layers specified by each neural network model to generate a plurality of image features corresponding to the plurality of neural network models; respectively inputting the plurality of corresponding image features into linear classifiers, each of the linear classifiers being trained by one of the plurality of neural network models for determining whether an image belongs to a preset class; obtaining, using each neural network model, a corresponding probability that the to-be-classified image comprises an object image of the preset class; and determining, according to each obtained probability, whether the to-be-classified image includes the object image of the preset class.


Find Patent Forward Citations

Loading…