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:
May. 09, 2023

Filed:

Jan. 14, 2021
Applicant:

Samsung Sds Co., Ltd., Seoul, KR;

Inventors:

Byoung Jip Kim, Seoul, KR;

Jin Ho Choo, Seoul, KR;

Yeong Dae Kwon, Seoul, KR;

Il Joo Yoon, Seoul, KR;

Du Won Park, Seoul, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/55 (2019.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06F 18/23213 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2155 (2023.01); G06F 16/55 (2019.01); G06F 18/23213 (2023.01); G06N 3/08 (2013.01);
Abstract

An apparatus includes a modified image generator generating modified images by modifying each unlabeled image, a pre-trainer to generate a feature vector for each modified image by using an artificial neural network-based encoder and train the encoder based on the feature vector for each modified image, a pseudo-label generator to generate a feature vector for each unlabeled training image, cluster the training images based on the feature vector for each training image, and generate a pseudo-label for at least one training image among the training images based on the clustering result, and a further trainer to generate a predicted label by using the trained encoder and a classification model including a classifier to generate a predicted label for an image input to the trained encoder based on a feature vector, and train the classification model based on the pseudo-label and predicted label for the at least one training image.


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