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    METHOD AND APPARATUS WITH IMAGE PROCESSING BASED ON NEURAL DIFFUSION
    1.
    发明申请
    METHOD AND APPARATUS WITH IMAGE PROCESSING BASED ON NEURAL DIFFUSION 有权

    公开(公告)号：US20250095117A1

    公开(公告)日：2025-03-20

    申请号：US18660030

    申请日：2024-05-09

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seongeun KIM ,  Seohyung LEE

    IPC: G06T5/70 ,  G06T5/60 ,  G06V10/40

    Abstract: A method and apparatus with image processing based on neural diffusion are provided. The method includes: setting a randomness level for a target object; generating a noised image by performing a diffusion process of generating noise images while repeatedly performing noising based on a guide image of a guide domain including the target object and by extracting and saving, based on the randomness level, a partial preservation area from a noise image among the noise images; and obtaining a denoised output image of a target domain by performing a reverse process of repeatedly generating, based on the noised image, denoise images corresponding to the noise images and by applying the saved partial preservation area to a denoise image among the denoise images.

    METHOD AND APPARATUS WITH ADAPTIVE OBJECT TRACKING
    6.
    发明申请
    METHOD AND APPARATUS WITH ADAPTIVE OBJECT TRACKING 有权

    公开(公告)号：US20220138493A1

    公开(公告)日：2022-05-05

    申请号：US17246803

    申请日：2021-05-03

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seohyung LEE ,  Dongwook LEE ,  Changyong SON ,  SeungWook KIM ,  Byung In YOO

    IPC: G06K9/62 ,  G06K9/32 ,  G06T7/73

    Abstract: Disclosed is a method and apparatus for adaptive tracking of a target object. The method includes method of tracking an object, the method including estimating a dynamic characteristic of an object in an input image based on frames of the input image, determining a size of a crop region for a current frame of the input image based on the dynamic characteristic of the object, generating a cropped image by cropping the current frame based on the size of the crop region, and generating a result of tracking the object for the current frame using the cropped image.

    METHOD AND APPARATUS WITH TEACHERLESS STUDENT MODEL FOR CLASSIFICATION
    7.
    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
    8.
    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
    9.
    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.

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