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. 17, 2026

Filed:

May. 22, 2023
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Naomi Simumba, Yokohama, JP;

Michiaki Tatsubori, Oiso, JP;

Daiki Kimura, Midori-ku, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/0455 (2023.01); G06N 3/0895 (2023.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01);
U.S. Cl.
CPC ...
G06N 3/0895 (2023.01); G06N 3/0455 (2023.01); G06T 5/70 (2024.01); G06T 5/77 (2024.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Self-supervised learning of a machine learning model using images. The computing device masks a section of each image in an image database to generate a partially masked image. An autoencoder encodes each partially masked image to generate one or more encodings representing each partially masked image. The autoencoder decodes each of the one or more encodings into one or more decoded encodings representing each partially masked image previously input into the autoencoder. The computing device compares each of the one or more decoded encodings of each partially masked image with the corresponding image from the image database to generate an unaugmented model output. The computing device augments each image according to a data augmentation policy to generate an augmented model output. The computing device determines a total loss by comparing the unaugmented model output to the augmented model output. The autoencoder is improved based upon the total loss.


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