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. 08, 2021

Filed:

Apr. 16, 2019
Applicant:

Xnor.ai, Inc., Seattle, WA (US);

Inventors:

Hessam Bagherinezhad, Seattle, WA (US);

Maxwell Horton, Seattle, WA (US);

Mohammad Rastegari, Bothell, WA (US);

Ali Farhadi, Seattle, WA (US);

Assignee:

XNOR.ai, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06T 11/60 (2006.01); G06K 9/03 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/6268 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 11/60 (2013.01); G06K 9/03 (2013.01); G06T 2210/22 (2013.01);
Abstract

Systems and methods are disclosed for training neural networks using labels for training data that are dynamically refined using neural networks and using these trained neural networks to perform detection and/or classification of one or more objects appearing in an image. Particular embodiments may generate a set of crops of images from a corpus of images, then apply a first neural network to the set of crops to obtain a set of respective outputs. A second neural network may then be trained using the set of crops as training examples. The set of respective outputs may be applied as labels for the set of crops.


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