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:
Dec. 16, 2025
Filed:
Oct. 11, 2022
Applicant:
Adobe Inc., San Jose, CA (US);
Inventors:
Shripad Vilasrao Deshmukh, Maharashtra, IN;
Surgan Jandial, Jammu Kashmir, IN;
Abhinav Java, Uttar Pradesh, IN;
Milan Aggarwal, Delhi, IN;
Mausoom Sarkar, New Delhi, IN;
Arneh Jain, Kerala, IN;
Balaji Krishnamurthy, Uttar Pradesh, IN;
Assignee:
ADOBE INC., San Jose, CA (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 18/2411 (2023.01); G06F 16/28 (2019.01); G06F 16/35 (2025.01); G06F 16/353 (2025.01); G06F 16/55 (2019.01); G06F 16/906 (2019.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/243 (2023.01); G06F 18/245 (2023.01); G06F 18/25 (2023.01); G06N 3/02 (2006.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/0475 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06T 3/4038 (2024.01); G06T 5/50 (2006.01); G06V 10/10 (2022.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06V 30/19 (2022.01); G06V 40/16 (2022.01); G06F 18/2431 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2411 (2023.01); G06F 16/285 (2019.01); G06F 16/35 (2019.01); G06F 16/353 (2019.01); G06F 16/55 (2019.01); G06F 16/906 (2019.01); G06F 18/2155 (2023.01); G06F 18/24 (2023.01); G06F 18/243 (2023.01); G06F 18/245 (2023.01); G06F 18/25 (2023.01); G06F 18/251 (2023.01); G06F 18/254 (2023.01); G06N 3/02 (2013.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/0475 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/4038 (2013.01); G06T 5/50 (2013.01); G06V 10/16 (2022.01); G06V 10/70 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/20 (2022.01); G06V 30/19173 (2022.01); G06V 30/1918 (2022.01); G06V 40/172 (2022.01); G06F 18/2431 (2023.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/20216 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/20224 (2013.01); G06T 2211/00 (2013.01); G06T 2211/441 (2023.08);
Abstract
Systems and methods for data augmentation are provided. One aspect of the systems and methods include receiving an image that is misclassified by a classification network; computing an augmentation image based on the image using an augmentation network; and generating an augmented image by combining the image and the augmentation image, wherein the augmented image is correctly classified by the classification network.