公开(公告)号：US11423251B2

公开(公告)日：2022-08-23

申请号：US16733314

申请日：2020-01-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dinesh Kumar Yadav ,  Ankur Deshwal ,  Saptarsi Das ,  Junwoo Jang ,  Sehwan Lee

IPC: G06K9/62 ,  G06N3/08 ,  G06T1/00

Abstract: A method of performing convolution in a neural network with variable dilation rate is provided. The method includes receiving a size of a first kernel and a dilation rate, determining at least one of size of one or more disintegrated kernels based on the size of the first kernel, a baseline architecture of a memory and the dilation rate, determining an address of one or more blocks of an input image based on the dilation rate, and one or more parameters associated with a size of the input image and the memory. Thereafter, the one or more blocks of the input image and the one or more disintegrated kernels are fetched from the memory, and an output image is obtained based on convolution of each of the one or more disintegrated kernels and the one or more blocks of the input image.

公开(公告)号：US10885433B2

公开(公告)日：2021-01-05

申请号：US16107717

申请日：2018-08-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Joonho Song ,  Sehwan Lee ,  Junwoo Jang

IPC: G06N3/08 ,  G06N3/04

Abstract: A neural network apparatus configured to perform a deconvolution operation includes a memory configured to store a first kernel; and a processor configured to: obtain, from the memory, the first kernel; calculate a second kernel by adjusting an arrangement of matrix elements comprised in the first kernel; generate sub-kernels by dividing the second kernel; perform a convolution operation between an input feature map and the sub-kernels using a convolution operator; and generate an output feature map, as a deconvolution of the input feature map, by merging results of the convolution operation.