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公开(公告)号:US20210192315A1
公开(公告)日:2021-06-24
申请号:US17071063
申请日:2020-10-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: JINWOO SON , CHANGYONG SON , JAEHYOUNG YOO , SEOHYUNG LEE , SANGIL JUNG , CHANGIN CHOI
Abstract: A processor-implemented neural network method includes: generating a first output line of an output feature map by performing a convolution operation between a first input line group of an input feature map and weight kernels; generating a first output of an operation block including the convolution operation based on the first output line; and storing the first output in a memory in which the input feature map is stored by overwriting the first output to a memory space of the memory.
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公开(公告)号:US20230206586A1
公开(公告)日:2023-06-29
申请号:US17856374
申请日:2022-07-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Dongwook LEE , SEOHYUNG LEE , CHANGBEOM PARK , BYUNG IN YOO
CPC classification number: G06V10/273 , G06T7/74 , G06V10/25 , G06V10/761 , G06T2207/20084
Abstract: A method and apparatus for object tracking are provided, where the object tracking method includes determining box information of candidate boxes in a current image frame and similarity scores of the candidate boxes based on including a search region of the current image frame with a template image corresponding to a target object, adjusting the similarity scores of the candidate boxes using a distractor map including distractor information of a previous image frame, determining a target box corresponding to the target object and a distractor box corresponding to a distractor of the target object from the candidate boxes based on the adjusted similarity scores, and updating the distractor map based on distractor information of the current image frame according to the distractor box.
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