公开(公告)号：US20240144086A1

公开(公告)日：2024-05-02

申请号：US18314378

申请日：2023-05-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chanho AHN ,  Kikyung KIM ,  Jiwon BAEK ,  Seungju HAN

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A processor-implemented method includes: determining a prediction loss based on class prediction data obtained by applying a first machine learning model to a training input and a class label with which the training input is labeled; determining a confidence of the class label based on the determined prediction loss; and training a second machine learning model using the training input based on the determined confidence.

公开(公告)号：US20240161458A1

公开(公告)日：2024-05-16

申请号：US18193712

申请日：2023-03-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Kikyung KIM ,  Jiwon BAEK ,  Chanho AHN ,  Seungju HAN

IPC: G06V10/764 ,  G06V10/70

CPC classification number: G06V10/764 ,  G06V10/87

Abstract: Disclosed is a method that includes generating a prediction consistency value that indicates a consistency of prediction of an object in an input image with respect to class prediction values for the object in an input image from classification models to which the input image is input, and identifying a class of the object. Identifying the class of the object includes, in response to a class type being determined, based on the prediction consistency value, of the object being determined to correspond to a majority class, identifying a class of the object based on a corresponding class prediction value output for the object from a majority class prediction model, and in response to the class type of the object being determined to correspond to a minority class, identifying the class of the object based on another corresponding class prediction value output for the object from a minority class prediction model.