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    METHOD AND APPARATUS WITH SEMICONDUCTOR PATTERN CORRECTION
    2.
    发明公开
    METHOD AND APPARATUS WITH SEMICONDUCTOR PATTERN CORRECTION 审中-公开

    公开(公告)号：US20240193415A1

    公开(公告)日：2024-06-13

    申请号：US18356612

    申请日：2023-07-21

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Seong-Jin PARK ,  Seon Min RHEE ,  Jaewon YANG

    IPC: G06N3/08

    CPC classification number: G06N3/08

    Abstract: A processor-implemented method including generating a first corrected result image of a first desired pattern image using a backward correction neural network provided an input based on the first desired pattern image, the backward correction neural network performing a backward correction of a first process, generating a first simulated result image using a forward simulation neural network based on the first corrected result image, the forward simulation neural network performing a forward simulation of a performance of the first process, and updating the first corrected result image so that an error between the first desired pattern image and the first simulated result image is reduced.

    METHOD AND APPARATUS WITH FACIAL IMAGE GENERATING
    3.
    发明申请
    METHOD AND APPARATUS WITH FACIAL IMAGE GENERATING 有权

    公开(公告)号：US20220058377A1

    公开(公告)日：2022-02-24

    申请号：US17208048

    申请日：2021-03-22

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jiwon BAEK ,  Seong-Jin PARK ,  Seungju HAN ,  Insoo KIM ,  Jaejoon HAN

    IPC: G06K9/00 ,  G06T9/00 ,  G06K9/62 ,  G06T7/73 ,  G06T3/60 ,  G06T3/40 ,  G06N3/04 ,  G06N3/08

    Abstract: A processor-implemented facial image generating method includes: determining a first feature vector associated with a pose and a second feature vector associated with an identity by encoding an input image including a face; determining a flipped first feature vector by flipping the first feature vector with respect to an axis in a corresponding space; determining an assistant feature vector based on the flipped first feature vector and rotation information corresponding to the input image; determining a final feature vector based on the first feature vector and the assistant feature vector; and generating an output image including a rotated face by decoding the final feature vector and the second feature vector based on the rotation information.

    METHOD AND APPARATUS WITH AUTHENTICATION AND NEURAL NETWORK TRAINING
    8.
    发明申请
    METHOD AND APPARATUS WITH AUTHENTICATION AND NEURAL NETWORK TRAINING 有权

    公开(公告)号：US20210166071A1

    公开(公告)日：2021-06-03

    申请号：US16913205

    申请日：2020-06-26

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seong-Jin PARK ,  Insoo KIM ,  Seungju HAN ,  Jiwon BAEK ,  Ju Hwan SONG ,  Jaejoon HAN

    IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08

    Abstract: A processor-implemented neural network method includes: determining, using a neural network, a feature vector based on a training image of a first class among a plurality of classes; determining, using the neural network, plural feature angles between the feature vector and class vectors of other classes among the plurality of classes; determining a margin based on a class angle between a first class vector of the first class and a second class vector of a second class, among the class vectors, and a feature angle between the feature vector and the first class vector; determining a loss value using a loss function including an angle with the margin applied to the feature angle and the plural feature angles; and training the neural network by updating, based on the loss value, either one or both of one or more parameters of the neural network and one or more of the class vectors.

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