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:
Mar. 04, 2025
Filed:
Jun. 26, 2023
Applicant:
Samsung Electronics Co., Ltd., Gyeonggi-do, KR;
Inventors:
Qingfeng Liu, San Diego, CA (US);
Mostafa El-Khamy, San Diego, CA (US);
Jungwon Lee, San Diego, CA (US);
Behnam Babagholami Mohamadabadi, San Diego, CA (US);
Assignee:
Samsung Electronics Co., Ltd, , KR;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06F 18/2321 (2023.01); G06F 18/2323 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06F 18/25 (2023.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01); G06N 5/025 (2023.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 30/19 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/2321 (2023.01); G06F 18/2323 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06F 18/253 (2023.01); G06F 18/254 (2023.01); G06N 3/04 (2013.01); G06N 3/045 (2023.01); G06N 5/022 (2013.01); G06N 5/025 (2013.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/806 (2022.01); G06V 10/809 (2022.01); G06V 30/19107 (2022.01); G06V 30/1914 (2022.01); G06V 30/19147 (2022.01); G06V 30/1918 (2022.01);
Abstract
A method and system for training a neural network are provided. The method includes receiving an input image, selecting at least one data augmentation method from a pool of data augmentation methods, generating an augmented image by applying the selected at least one data augmentation method to the input image, and generating a mixed image from the input image and the augmented image.