公开(公告)号：US20230031919A1

公开(公告)日：2023-02-02

申请号：US17578639

申请日：2022-01-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Suji KIM ,  Seungjun SHIN ,  Dokwan OH

IPC: G06T7/11 ,  G06V10/771 ,  G06V10/774 ,  G06V10/82 ,  B60W10/20 ,  B60W10/04 ,  G06V20/58 ,  B60K37/00 ,  G06V10/764

Abstract: An electronic device extracts feature data from an input image, calculates one or more class maps from the feature data using a classifier layer, calculates one or more cluster maps from the feature data using a clustering layer, and generates image segmentation data using the one or more class maps and the one or more cluster maps.

公开(公告)号：US20180164812A1

公开(公告)日：2018-06-14

申请号：US15704282

申请日：2017-09-14

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dokwan OH ,  Dae Hyun JI

IPC: G05D1/00 ,  G06N3/02 ,  G06T7/70 ,  G06F17/18

CPC classification number: G05D1/0088 ,  G06F16/00 ,  G06F17/18 ,  G06K9/00791 ,  G06K9/6256 ,  G06N3/02 ,  G06N7/005 ,  G06T7/70

Abstract: A training data generation method includes acquiring an image captured from a vehicle and location information of the vehicle corresponding to the image; acquiring map data corresponding to the acquired location information; determining truth data including information associated with a road included in the image from the acquired map data; and generating training data including the image and the determined truth data.

公开(公告)号：US20240412034A1

公开(公告)日：2024-12-12

申请号：US18383755

申请日：2023-10-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chansol HWANG ,  Wonseop SONG ,  Dongwon JANG ,  Young Hun SUNG ,  Dokwan OH

IPC: G06N3/04 ,  G06N3/084

Abstract: A binary neural network apparatus including a binarized last layer is provided. According to an embodiment of the present disclosure, the binary neural network apparatus includes: a binary neural network including a first layer, one or more second layers, and a third layer, wherein the one or more second layers are provided between the first layer and the third layer, and the third layer has binary input and binary weights and is configured to output a binarized bit sequence; and a non-binary converter configured to convert the binarized bit sequence into non-binary data and output the non-binary data.

公开(公告)号：US20210334609A1

公开(公告)日：2021-10-28

申请号：US17368917

申请日：2021-07-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Cheolhun JANG ,  Dokwan OH ,  Dae Hyun JI

IPC: G06K9/66 ,  G06K9/62 ,  G06K9/00 ,  G06N3/08

Abstract: A method and apparatus for adjusting a neural network that classifies a scene of an input image into at least one class is provided. The method generates a feature image having a size that is less than a size of an input image by applying a convolutional network to the input image, determines at least one class corresponding to the feature image, generates a class image having a size corresponding to the size of the input image by applying a deconvolutional network to the feature image, calculates a loss of the class image based on a verification class image preset with respect to the input image, and adjusts the neural network based on the loss.

公开(公告)号：US20200280666A1

公开(公告)日：2020-09-03

申请号：US16875407

申请日：2020-05-15

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dokwan OH

IPC: H04N5/235 ,  H04N5/232 ,  G03B7/00 ,  H04N5/238 ,  G03B29/00 ,  H04N5/243

Abstract: A method of obtaining an image from an image sensor provided in a vehicle includes obtaining a vehicle speed of the vehicle; adjusting a shutter speed of the image sensor; adjusting either one or both of an international organization for standardization sensitivity (ISO) of the image sensor and an aperture of the image sensor based on the vehicle speed; and obtaining the image from the image sensor based on the adjusted shutter speed and the adjusted either one or both of the ISO and the aperture.

公开(公告)号：US20190034764A1

公开(公告)日：2019-01-31

申请号：US15933609

申请日：2018-03-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dokwan OH ,  Yoonsuk HYUN

IPC: G06K9/62 ,  G06N7/00 ,  G06N3/08 ,  G06F21/31

Abstract: Disclosed is a training data generating apparatus and method to change output data inappropriate for training a student model to an ignore value such that the inappropriate output data is not used to train the student model, change output data appropriate for training the student model such that the student model outputs an improved result in comparison to output data of a teacher model, and change a label value in a form of probability to an identifier corresponding to intervals divided based on threshold label values using the teacher model based on input data.

公开(公告)号：US20250039519A1

公开(公告)日：2025-01-30

申请号：US18740169

申请日：2024-06-11

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION

Inventor： Hochang RHEE ,  Nam Ik CHO ,  Young Hun SUNG ,  Dokwan OH ,  Hyo A KANG

IPC: H04N21/845 ,  H04N21/234

Abstract: A video processing method is provided. The video processing method obtaining a clip representation based on a frame index and a global representation of an input video, obtaining a residual frame representation based on the frame index and a residual representation of the input video using a residual neural network and outputting a final frame representation generated based on the clip representation and the residual frame representation.

公开(公告)号：US20240244273A1

公开(公告)日：2024-07-18

申请号：US18415247

申请日：2024-01-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Seungeon KIM ,  Wonhee LEE ,  Kyungboo JUNG ,  Woosuk CHOI ,  Young Hun SUNG ,  Dokwan OH

IPC: H04N19/91 ,  G06V10/82 ,  H04N19/119 ,  H04N19/159 ,  H04N19/184 ,  H04N19/51 ,  H04N19/70

CPC classification number: H04N19/91 ,  G06V10/82 ,  H04N19/119 ,  H04N19/159 ,  H04N19/184 ,  H04N19/51 ,  H04N19/70

Abstract: An apparatus with video processing includes one or more processors configured to generate a syntax element processable by a target standard codec by inputting a quantization parameter, a pre-decoded reference image, and a plurality of frames comprised in a video to a neural network and compressing the plurality of frames, and generate a bitstream by performing entropy encoding on the syntax element.

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：US20230206648A1

公开(公告)日：2023-06-29

申请号：US17888056

申请日：2022-08-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Paul Barom JEON ,  Dokwan OH

IPC: G06V20/58 ,  G06V20/59 ,  G06V40/10 ,  G06T7/70 ,  G06T3/00 ,  B60W40/08

CPC classification number: G06V20/58 ,  G06V20/59 ,  G06V40/10 ,  G06T7/70 ,  G06T3/0018 ,  B60W40/08 ,  G06T2207/30196 ,  G06T2207/30261 ,  G06T2207/30268 ,  B60W2420/42 ,  B60W2556/20

Abstract: Disclosed are apparatuses and methods for controlling driving of a vehicle, the method including obtaining a first image captured by a first ultra-wide-angle lens disposed on a first position in a vehicle, obtaining a second image captured by a second ultra-wide-angle lens disposed on a second position in the vehicle, monitoring a state of a driver and an occupant of the vehicle based on the first image and the second image, detecting an object in a blind spot area based on a matching of the first image and the second image, and generating information for control of the vehicle based on a result of the monitoring and a result of the detecting of the object.