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公开(公告)号:US20210056332A1
公开(公告)日:2021-02-25
申请号:US17089902
申请日:2020-11-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: SeungJu HAN , SungUn PARK , JaeJoon HAN , Jinwoo SON , ChangYong SON , Minsu KO , Jihye KIM , Chang Kyu CHOI
IPC: G06K9/00
Abstract: An object recognition apparatus and method are provided. The apparatus includes a processor configured to verify a target image using an object model and based on reference intermediate data extracted by a partial layer of the object model as used in an object recognition of an input image, in response to a failure of a verification of the input image after a success of the object recognition of the input image, and perform an additional verification of the target image in response to the target image being verified in the verifying of the target image.
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公开(公告)号:US20190188510A1
公开(公告)日:2019-06-20
申请号:US16176440
申请日:2018-10-31
Applicant: Samsung Electronics Co., Ltd.
Inventor: SeungJu HAN , SungUn PARK , JaeJoon HAN , Jinwoo SON , ChangYong SON , Minsu KO , Jihye KIM , Chang Kyu CHOI
IPC: G06K9/00
CPC classification number: G06K9/00906 , G06K9/00221 , G06K9/00288
Abstract: An object recognition apparatus and method are provided. The apparatus includes a processor configured to verify a target image using an object model and based on reference intermediate data extracted by a partial layer of the object model as used in an object recognition of an input image, in response to a failure of a verification of the input image after a success of the object recognition of the input image, and perform an additional verification of the target image in response to the target image being verified in the verifying of the target image.
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公开(公告)号:US20190251436A1
公开(公告)日:2019-08-15
申请号:US16273662
申请日:2019-02-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: ChangYong SON , Jinwoo SON , Sangil JUNG , Chang Kyu CHOI , Jae-Joon HAN
CPC classification number: G06N3/08 , G06K9/6217 , G06N3/04 , G06N3/0454 , G06N3/0481 , G06N3/063
Abstract: A processing method using a neural network includes generating output maps of a current layer of the neural network by performing a convolution operation between input maps of the current layer and weight kernels of the current layer, determining a lightweight format for the output maps of the current layer based on a distribution of at least a portion of activation data being processed in the neural network, and lightening activation data corresponding to the output maps of the current layer to have a low bit width based on the determined lightweight format.
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