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. 05, 2023

Filed:

Jun. 17, 2021
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Li Chen, Fremont, CA (US);

Purvi Goel, Fremont, CA (US);

Ilknur Kaynar Kabul, Mountain View, CA (US);

David Dongzhe Yang, Brighton, MA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06K 9/32 (2006.01); G06K 9/40 (2006.01); G06K 9/00 (2022.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06F 18/21 (2023.01); G06V 10/24 (2022.01); G06V 10/30 (2022.01); G06V 20/10 (2022.01); G06F 18/2113 (2023.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2185 (2023.01); G06F 18/2113 (2023.01); G06F 18/2148 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 10/243 (2022.01); G06V 10/30 (2022.01); G06V 20/176 (2022.01);
Abstract

The disclosed computer-implemented method may include collecting a set of labels that label polygons within a training set of images as architectural structures. The method may also include creating a set of noisy labels with a predetermined degree of noise by distorting boundaries of a number of the polygons within the training set of images. Additionally, the method may include simultaneously training two neural networks by applying a co-teaching method to learn from the set of noisy labels. The method may also include extracting a preferential list of training data based on the two trained neural networks. Furthermore, the method may include training a machine learning model with the preferential list of training data. Finally, the method may include identifying one or more building footprints in a target image using the trained machine learning model. Various other methods, systems, and computer-readable media are also disclosed.


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