公开(公告)号：US12288315B2

公开(公告)日：2025-04-29

申请号：US17886172

申请日：2022-08-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Bin Sun ,  Yanlong Sun ,  Yong A ,  Wei Li ,  Lanlan Zhang ,  Zhezhu Jin ,  Yingying Jiang

IPC: G06K9/00 ,  G06T3/4046 ,  G06T5/20 ,  G06T5/50 ,  G06T5/90 ,  G06T7/11 ,  G06V10/44 ,  G06V10/74 ,  G06V10/764 ,  G06V10/77 ,  G06V10/82 ,  G06V10/94 ,  G06V40/16

Abstract: The present disclosure provides methods, apparatuses, and computer-readable mediums for image processing. In some embodiments, a method of image processing includes acquiring, from a user, a first image. The method further includes removing, using an image de-filter network, a filter effect applied to the first image to generate a second image. The method further includes obtaining, based on the first image and the second image, an image filter corresponding to the filter effect. The method further includes rendering a third image using the obtained image filter to output a fourth image.

公开(公告)号：US20200311552A1

公开(公告)日：2020-10-01

申请号：US16829205

申请日：2020-03-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yong A ,  Gaofei Wang ,  Zhenbo Luo ,  Shuli Yang ,  Bin Sun ,  Pei Fu ,  Hua Wang

IPC: G06N3/08 ,  G06N3/04

Abstract: A method for compressing a machine learning model by an electronic device. The method may comprise determining a compression parameter of a set hidden layer in a model based on a pruning number of respective channels included in the set hidden layer and a pruning loss of each hidden layer of the model; and compressing the model based on the compression parameter of the set hidden layer. The compression parameter may be related to a pruning of the model.