METHOD AND DEVICE WITH AUTOMATIC LABELING
    1.
    发明公开

    公开(公告)号:EP4365776A1

    公开(公告)日:2024-05-08

    申请号:EP23207770.1

    申请日:2023-11-03

    摘要: A processor-implemented method includes training a first model to predict confidences of labels for data samples in a training dataset, including using a corrected data sample obtained by correcting an incorrect label based on a corresponding confidence detected by the first model and an estimated corrected label generated by a second model; training the second model to estimate correct labels for the data samples, including estimating a correct other label corresponding to another incorrect label detected based on a corresponding confidence generated by the first model with respect to the other incorrect label; and automatically correcting the other incorrect label with the estimated correct other label.