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:
Feb. 04, 2025

Filed:

Feb. 04, 2022
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Guy Hotson, Mountain View, CA (US);

Nicolas Cebron, Sunnyvale, CA (US);

John Ryan Peterson, Pittsburgh, PA (US);

Marius Seritan, Daly City, CA (US);

Craig Bryan, Canonsburg, PA (US);

Assignee:

Ford Global Technologies, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06V 10/22 (2022.01); G06V 10/26 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06V 10/225 (2022.01); G06V 10/26 (2022.01); G06V 10/7747 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G06V 30/414 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30242 (2013.01); G06T 2207/30252 (2013.01); G06T 2210/12 (2013.01); G06T 2219/004 (2013.01);
Abstract

Systems and methods for generating a panoptic segmentation mask for an input image. The methods include receiving the input image comprising a plurality of pixels, generating a semantic mask and an instance mask from the input image, and combining the semantic mask and the instance mask to generate a panoptic mask for the input image. The semantic mask includes a single-channel mask that associates each pixel in the input image with a corresponding one of a plurality of labels. The instance mask includes a plurality of masks, where each of the plurality of masks identifies an instance of a countable object in the input image, and is associated with an indication of whether that instance of the countable object is hidden behind another object in the input image.


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