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:
Aug. 31, 2021

Filed:

Apr. 07, 2017
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Shandong Wang, Beijing, CN;

Yiwen Guo, Beijing, CN;

Anbang Yao, Beijing, CN;

Dongqi Cai, Beijing, CN;

Libin Wang, Beijing, CN;

Lin Xu, Beijing, CN;

Ping Hu, Shanghai, CN;

Wenhua Cheng, Beijing, CN;

Yurong Chen, Beijing, CN;

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 3/40 (2006.01); G06N 20/20 (2019.01); G06N 20/10 (2019.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06T 1/20 (2006.01);
U.S. Cl.
CPC ...
G06T 3/4046 (2013.01); G06K 9/6289 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06N 5/046 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 1/20 (2013.01);
Abstract

Methods and systems are disclosed using improved Convolutional Neural Networks (CNN) for image processing. In one example, an input image is down-sampled into smaller images with a smaller resolution than the input image. The down-sampled smaller images are processed by a CNN having a last layer with a reduced number of nodes than a last layer of a full CNN used to process the input image at a full resolution. A result is outputted based on the processed down-sampled smaller images by the CNN having a last layer with a reduced number of nodes. In another example, shallow CNN networks are built randomly. The randomly built shallow CNN networks are combined to imitate a trained deep neural network (DNN).


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