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:
Sep. 30, 2025

Filed:

Aug. 21, 2022
Applicant:

Fujifilm Corporation, Tokyo, JP;

Inventor:

Akimichi Ichinose, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/00 (2017.01); G06V 10/82 (2022.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06T 7/0012 (2013.01); G06V 10/82 (2022.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/031 (2022.01);
Abstract

A processor derives a first feature amount for each of a plurality of first objects included in first data by a first neural network, derives a second feature amount for second data including one or more second objects by a second neural network, specifies a first object candidate, which is paired with the second object, from among the plurality of first objects, estimates an attribute of a pair second object, which is paired with the first object candidate, based on the first object candidate, and trains at least one of the first neural network or the second neural network such that a difference between the estimated attribute of the pair second object and an attribute of the pair second object derived from the second data is reduced.


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