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.
Patent No.:
Date of Patent:
Jul. 18, 2023
Filed:
Nov. 11, 2021
Applicant:
Ebay Inc., San Jose, CA (US);
Inventors:
Mohammadhadi Kiapour, Chapel Hill, NC (US);
Ajinkya Gorakhnath Kale, San Jose, CA (US);
Robinson Piramuthu, Oakland, CA (US);
Licheng Yu, San Jose, CA (US);
Assignee:
eBay Inc., San Jose, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/40 (2022.01); G06F 16/583 (2019.01); G06F 16/16 (2019.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06N 3/045 (2023.01); G06N 7/01 (2023.01); H04L 67/02 (2022.01); H04L 67/01 (2022.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
G06V 30/43 (2022.01); G06F 16/164 (2019.01); G06F 16/583 (2019.01); G06F 16/5838 (2019.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); G06N 7/01 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); H04L 67/01 (2022.05); H04L 67/02 (2013.01); H04L 67/10 (2013.01);
Abstract
Example embodiments that analyze images to characterize aspects of the images rely on a same neural network to characterize multiple aspects in parallel. Because additional neural networks are not required for additional aspects, such an approach scales with increased aspects.
Kiapour, Mohammadhadi. (2023). Parallel prediction of multiple image aspects (U.S. Patent No. 11704926). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11704926
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile