公开(公告)号：US20240420446A1

公开(公告)日：2024-12-19

申请号：US18660708

申请日：2024-05-10

Applicant: Fujitsu Limited

Inventor： Moyuru YAMADA ,  Kentaro TAKEMOTO

IPC: G06V10/75

Abstract: A non-transitory computer-readable recording medium storing a machine learning program causing a computer to execute a process including: generating vector information based on a first feature of a target included in an image, a second feature of the target, and conversion parameters; and executing training of a machine learning model and update of the conversion parameters by inputting the image and the vector information to the machine learning model, the machine learning model including a first machine learning model portion configured to identify the first feature and a second machine learning model portion configured to identify the second feature.

公开(公告)号：US20230419644A1

公开(公告)日：2023-12-28

申请号：US18191055

申请日：2023-03-28

Applicant: Fujitsu Limited

Inventor： Kentaro TAKEMOTO

IPC: G06V10/776 ,  G06V10/774 ,  G06V10/77 ,  G06V20/70

CPC classification number: G06V10/776 ,  G06V20/70 ,  G06V10/7715 ,  G06V10/774

Abstract: An estimator is trained through a metric learning that determines a positive example training data and a negative example training data from among a plurality of training data used to train the estimator, brings a feature corresponding the particular label calculated in relation to the positive example training data close to a feature corresponding the particular label calculated in relation to the reference data, and moves a feature corresponding the particular label calculated in relation to the negative example training data away from the feature corresponding the particular label calculated in relation to the reference data.

公开(公告)号：US20230282009A1

公开(公告)日：2023-09-07

申请号：US18089637

申请日：2022-12-28

Applicant: Fujitsu Limited

Inventor： Kentaro TAKEMOTO

IPC: G06V20/70 ,  G06V10/764

CPC classification number: G06V20/70 ,  G06V10/764 ,  G06V10/82

Abstract: A computer-readable recording medium stores an information processing program. The program is for causing a computer to execute a process including: generating data in which, to each piece of word information included in a graph that represents a plurality of target objects in image data and a relationship between the plurality of target objects, information that indicates a relationship to which the piece of word information belongs and information that indicates a role of the piece of word information in the relationship are added; acquiring, through machine learning in which the generated data serves as input data to an autoencoder, a feature quantity for the input data; and performing classification of the image data, based on the acquired feature quantity.