公开(公告)号：US20240135543A1

公开(公告)日：2024-04-25

申请号：US18479441

申请日：2023-10-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Fang LIU ,  Fengtao XIE ,  Fangfang DU ,  Ke LU ,  Pengfei ZHAO

IPC: G06T7/11 ,  G06V10/764

CPC classification number: G06T7/11 ,  G06V10/764

Abstract: A method and an electronic device with image data generating are disclosed. The electronic device includes: one or more processors; and memory storing instructions configured to cause the one or more processors to: input an input image to a target model that performs segmenting on the input image to generate a segmented image whose pixels have respective class labels predicted by the target model, calculate an optimization value for the input image based on the segmented image and based on a class label of a first grid area among a plurality of grid areas of a guide image, and optimize the input image based on the optimization value.

公开(公告)号：US20210034950A1

公开(公告)日：2021-02-04

申请号：US16983520

申请日：2020-08-03

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Fengtao XIE ,  Ke LU

IPC: G06N3/04

Abstract: A method and apparatus for implementing a neural network model in a heterogeneous computing platform are disclosed. The method includes partitioning a neural network model into first sub-models based on a partition standard, obtaining second sub-models by merging at least a portion of the first sub-models based on characteristics of the first sub-models, and deploying the second sub-models.

公开(公告)号：US20240233132A9

公开(公告)日：2024-07-11

申请号：US18479441

申请日：2023-10-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Fang LIU ,  Fengtao XIE ,  Fangfang DU ,  Ke LU ,  Pengfei ZHAO

IPC: G06T7/11 ,  G06V10/764

CPC classification number: G06T7/11 ,  G06V10/764

Abstract: A method and an electronic device with image data generating are disclosed. The electronic device includes: one or more processors; and memory storing instructions configured to cause the one or more processors to: input an input image to a target model that performs segmenting on the input image to generate a segmented image whose pixels have respective class labels predicted by the target model, calculate an optimization value for the input image based on the segmented image and based on a class label of a first grid area among a plurality of grid areas of a guide image, and optimize the input image based on the optimization value.

公开(公告)号：US20220027710A1

公开(公告)日：2022-01-27

申请号：US17376302

申请日：2021-07-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Fengtao XIE ,  Fangfang DU ,  Fang LIU ,  Liang LI ,  Pengfei ZHAO ,  Ke LU

IPC: G06N3/04 ,  G06F17/18 ,  G06N3/08

Abstract: A method and apparatus for determining a neural network architecture of a processor are provided. The method of determining a target neural network architecture, the method comprising obtaining a first neural network architecture, searching for the first neural network architecture based on a loss function, in response to a first search end condition not being satisfied, and determining a target neural network architecture used in a processor, based on a result of the searching, wherein the loss function is based on a processor computation cost.