IDiyas

For the Inventor, By the Inventor

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.:

US 11983880 B1

PDFFull Text
Date of Patent:
May. 14, 2024

Filed:

Jun. 02, 2021

Mini-batch learning apparatus, operation program of mini-batch learning apparatus, and operation method of mini-batch learning apparatus

Applicant:

Fujifilm Corporation, Tokyo, JP;

Inventor:

Takashi Wakui, Ashigarakami-gun, JP;

Assignee:

FUJIFILM Corporation, Tokyo, JP;

Attorney:

Birch, Stewart, Kolasch & Birch, LLP

Primary Examiner:

Matthew C Bella

Assistant Examiner:

Dennis Rosario

Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/62 (2017.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/69 (2022.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06F 18/2155 (2023.01); G06F 18/2193 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/62 (2017.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/7747 (2022.01); G06V 10/776 (2022.01); G06V 20/69 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01);
Abstract

In a case where the operation program is started, a CPU of the mini-batch learning apparatus functions as a calculation unit, a specifying unit, and an evaluation unit. The calculation unit calculates an area ratio of each of a plurality of classes in mini-batch data. The specifying unit specifies, as a correction target class, a rare class of which the area ratio is lower than a setting value. The evaluation unit evaluates the class determination accuracy of the machine learning model by using a loss function. As correction processing, the evaluation unit sets a weight for a loss value of the rare class to be larger than a weight for a loss value of a class other than the rare class.

Find Patent Forward Citations

Loading…