公开(公告)号：US20240144634A1

公开(公告)日：2024-05-02

申请号：US18296603

申请日：2023-04-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dasol HAN ,  Seungjun SHIN ,  Suji KIM ,  Dokwan OH ,  Dongwon JANG

IPC: G06V10/25 ,  G06T5/00 ,  G06V10/98

CPC classification number: G06V10/25 ,  G06T5/002 ,  G06V10/993

Abstract: An apparatus with region of interest (ROI) extraction includes: a processor configured to: generate an input image by distorting an original image comprising one or more objects; determine, based on the original image, a quality score of the input image using a machine learning model that is trained based on a mean opinion score (MOS) dataset; generate a class activation map for the input image based on the quality score of the input image; and extract an ROI from the original image based on the class activation map.

公开(公告)号：US20240144452A1

公开(公告)日：2024-05-02

申请号：US18303930

申请日：2023-04-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaewook YOO ,  Youngwan SEO ,  Dokwan OH ,  Dasol HAN

IPC: G06T7/00 ,  B60W50/14 ,  B60W60/00 ,  G06T7/70

CPC classification number: G06T7/0002 ,  B60W50/14 ,  B60W60/0053 ,  G06T7/70 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30252

Abstract: An electronic device and method for detecting contamination of a camera lens, where the electronic device includes at least one camera configured to capture an image, a memory configured to store the image, and a contamination detection model configured to detect a contaminated portion of a lens of the at least one camera, in response to the image being input, and a processor configured to determine whether an operation of the electronic device is hindered by the contaminated portion, in response to the contamination detection model detecting the contaminated portion in the lens of the at least one camera.

公开(公告)号：US20220383623A1

公开(公告)日：2022-12-01

申请号：US17696354

申请日：2022-03-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jaewook YOO ,  Dokwan OH ,  Dasol HAN

IPC: G06V10/776 ,  G06V10/82 ,  G06V10/77 ,  G06V10/764

Abstract: Disclosed are a method and apparatus for training a neural network model to increase performance of the neural network model, the method including receiving input data and target data, pooling, by a neural network model, on a feature map extracted from the input data based on a probability for each of classes of the feature map, generating output data by inputting the input data to a neural network model, determining a loss based on comparing the output data and the target data and an auxiliary loss of the pooling, and training the neural network model based on the loss.