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    METHOD AND APPARATUS WITH DATA AUGMENTATION
    11.
    发明申请
    METHOD AND APPARATUS WITH DATA AUGMENTATION 有权

    公开(公告)号：US20250139945A1

    公开(公告)日：2025-05-01

    申请号：US18663547

    申请日：2024-05-14

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Kyuhyun SHIM ,  Seongeun KIM ,  Seohyung LEE

    IPC: G06V10/774 ,  G06T5/50 ,  G06T5/77 ,  G06V10/26 ,  G06V10/764 ,  G06V10/82

    Abstract: A method and apparatus with data augmentation are disclosed. The a method includes: based on information about objects included in target data, extracting a region for object synthesis from a point cloud of the target data; determining a target object based on location information about the extracted region; based on a point cloud of the target object and the point cloud of the target data, synthesizing the point cloud of the target object with the extracted region to generate a synthetic point cloud; and generating a synthetic image by synthesizing an image of the target object with an image of the target data based on the location information about the extracted region and the point cloud of the target object, wherein the synthetic point cloud and the synthetic image form an augmented training item.

    METHOD AND APPARATUS WITH TEACHERLESS STUDENT MODEL FOR CLASSIFICATION
    12.
    发明公开
    METHOD AND APPARATUS WITH TEACHERLESS STUDENT MODEL FOR CLASSIFICATION 审中-公开

    公开(公告)号：US20240242082A1

    公开(公告)日：2024-07-18

    申请号：US18338732

    申请日：2023-06-21

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Seohyung LEE ,  Jiho CHOI ,  Byung In YOO

    IPC: G06N3/09 ,  G06N3/048

    CPC classification number: G06N3/09 ,  G06N3/048

    Abstract: An apparatus and method for training a neural network model for classification without a teacher model are disclosed. The includes: selecting classes from a database comprising a set of classes; generating a mean feature group comprising mean features extracted from the selected classes; receiving a batch comprising input data and extracting, by the neural network model, a feature from the input data, wherein the neural network model is to be trained according to a mean feature set; determining a first similarity between the extracted feature and a mean feature corresponding to the input data; determining a second similarity comprising a self-similarity of the mean feature; and updating a parameter of the neural network model based on the first similarity and the second similarity.

    METHOD AND APPARATUS WITH OBJECT TRACKING
    13.
    发明公开
    METHOD AND APPARATUS WITH OBJECT TRACKING 审中-公开

    公开(公告)号：US20230351610A1

    公开(公告)日：2023-11-02

    申请号：US17987231

    申请日：2022-11-15

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Dongwook LEE ,  Seohyung LEE ,  Changbeom PARK ,  Byung In YOO ,  Hyunjeong LEE

    IPC: G06T7/20 ,  G06T7/00

    CPC classification number: G06T7/20 ,  G06T7/97 ,  G06T2207/10016

    Abstract: A processor-implemented method with object tracking includes: performing, using a first template, forward object tracking on first image frames in a first sequence group; determining a template candidate of a second template for second image frames in a second sequence group; performing backward object tracking on the first image frames using the template candidate; determining a confidence of the template candidate using a result of comparing a first tracking result determined by the forward object tracking performed on the first image frames and a second tracking result determined by the backward object tracking performed on the first image frames; determining the second template based on the confidence of the template candidate; and performing forward object tracking on the second image frames using the second template.

    OBJECT TRAKING METHOD AND APPARATUS
    14.
    发明申请
    OBJECT TRAKING METHOD AND APPARATUS 有权

    公开(公告)号：US20220122273A1

    公开(公告)日：2022-04-21

    申请号：US17227719

    申请日：2021-04-12

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Seung Wook KIM ,  Hyunjeong LEE ,  Changbeom PARK ,  Changyong SON ,  Seohyung LEE

    IPC: G06T7/246 ,  G06K9/62

    Abstract: An object tracking method includes generating a feature map of a search image and generating a feature map of a target image, obtaining an object classification result and a basic bounding box based on the feature map of the search image and the feature map of the target image, obtaining an auxiliary bounding box based on the feature map of the search image, obtaining a final bounding box based on the basic bounding box and the auxiliary bounding box, and tracking an object based on the object classification result and the final bounding box.

    NEURAL NETWORK METHOD AND APPARATUS
    18.
    发明申请
    NEURAL NETWORK METHOD AND APPARATUS 有权

    公开(公告)号：US20210049474A1

    公开(公告)日：2021-02-18

    申请号：US16856112

    申请日：2020-04-23

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jinwoo SON ,  Changyong SON ,  Jaehyoung YOO ,  Seohyung LEE ,  Sangil JUNG ,  Changin CHOI ,  Jaejoon HAN

    IPC: G06N3/08

    Abstract: A processor-implemented data processing method and apparatus for a neural network is provided. The data processing method includes generating cumulative data by accumulating results of multiplication operations between at least a portion of input elements in an input plane and at least a portion of weight elements in a weight plane, and generating an output plane corresponding to an output channel among output planes of an output feature map respectively corresponding to output channels based on the generated cumulative data.

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