公开(公告)号：US20230334321A1

公开(公告)日：2023-10-19

申请号：US17976655

申请日：2022-10-28

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Su Woong LEE ,  Jong-Gook KO ,  Wonyoung YOO ,  Seungjae LEE ,  Yongsik LEE ,  Juwon LEE ,  Da-Un JUNG

IPC: G06N3/08

CPC classification number: G06N3/082 ,  G06N3/084

Abstract: Disclosed are a deep neural network lightweight device based on batch normalization, and a method thereof. The deep neural network lightweight device based on batch normalization includes a memory that stores at least one data and at least one processor that executes a network lightweight module. When executing the network lightweight module, the processor performs learning on an input neural network based on sparsity regularization to adaptively determine at least one parameter of the sparsity regularization, performs pruning on the learning result, and performs fine tuning on the pruning result.

公开(公告)号：US20220222525A1

公开(公告)日：2022-07-14

申请号：US17554870

申请日：2021-12-17

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Su Woong LEE ,  Seungjae LEE ,  Jong-Gook KO ,  Wonyoung YOO ,  Jung Jae YU ,  Keun Dong LEE ,  Yongsik LEE ,  Da-Un JUNG

IPC: G06N3/08 ,  G06K9/62

Abstract: Provided are a method and system for training a dynamic deep neural network. The method for training a dynamic deep neural network includes receiving an output of a last layer of the deep neural network and outputting a first loss, receiving an output of a routing module according to an input class of the deep neural network and outputting a second loss, calculating a third loss based on the first loss and the second loss, and updating a weight of the deep neural network by using the third loss.

公开(公告)号：US20210350241A1

公开(公告)日：2021-11-11

申请号：US17242604

申请日：2021-04-28

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Seungjae LEE ,  Jong-Gook KO ,  Keun Dong LEE ,  Su Woong LEE ,  Yongsik LEE ,  Da-Un JUNG ,  Wonyoung YOO

IPC: G06N3/08 ,  G06N3/04

Abstract: An apparatus and method for searching a neural network architecture may be disclosed. The apparatus may include an architecture searcher and an architecture evaluator. The architecture searcher may search for a topology between nodes included in a basic cell of a network, search for an operation to be applied between the nodes after searching for the topology, and determine the basic cell. The architecture evaluator may evaluate performance of the determined basic cell.

公开(公告)号：US20150193662A1

公开(公告)日：2015-07-09

申请号：US14446402

申请日：2014-07-30

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jang-Hee YOO ,  Jong-Gook KO ,  Jin-Woo CHOI ,  Ki-Young MOON

IPC: G06K9/00 ,  B60R25/30 ,  G06Q50/00 ,  G01S19/14

CPC classification number: G06K9/00771 ,  B60R25/302 ,  G01S5/0027 ,  G01S19/14 ,  G06K2209/15 ,  G06Q50/01 ,  G08G1/205

Abstract: Disclosed herein is an apparatus and method of searching for a wanted vehicle, capable of interoperating with black boxes mounted in vehicles of unspecified individuals, recognizing and searching for registration numbers of vehicles in proximity of each black box in real time, and identifying a location of the wanted vehicle in real time using information about locations of the searched vehicles. The method includes requesting, by an apparatus for searching for a wanted vehicle, a black box installed in at least one vehicle to search for a registration number of the wanted vehicle, and receiving a response corresponding to the request, and acquiring information about the wanted vehicle and a location of the wanted vehicle corresponding to the response using the black box for recognizing a vehicle registration number or the black box for detecting a vehicle registration number region.

Abstract translation: 本文公开了一种搜索想要的车辆的装置和方法，其能够与安装在未指定个人的车辆中的黑盒互操作，实时识别和搜索每个黑匣子附近的车辆的登记号码，并且识别 所需车辆实时使用关于搜索车辆的位置的信息。 该方法包括：通过用于搜索想要的车辆的装置请求安装在至少一辆车辆中的黑箱，以搜索所需车辆的登记号码，并且接收对应于该请求的响应，以及获取关于所需车辆的信息 车辆和对应于使用用于识别车辆登记号码的黑盒子的响应的所需车辆的位置，或者用于检测车辆登记号码区域的黑盒子。

公开(公告)号：US20160358039A1

公开(公告)日：2016-12-08

申请号：US15164215

申请日：2016-05-25

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jong-Gook KO ,  Kyoung PARK ,  Jong-Youl PARK ,  Joong-Won HWANG

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/48

CPC classification number: G06K9/4647 ,  G06K9/6292

Abstract: An apparatus for object detection according to an example includes a level image generating unit configured to generate a plurality of level images with reference to a target image; a feature vector extracting unit configured to extract a feature vector from each level image; a codeword generating unit configured to generate a codeword by clustering the feature vector for each level image; a histogram generating unit configured to generate a histogram corresponding to the codeword; and a classifier configured to generate object recognition information of the target image based on the histogram.

Abstract translation: 根据示例的用于物体检测的装置包括：水平图像生成单元，被配置为参照目标图像生成多个水平图像; 特征矢量提取单元，被配置为从每个级别图像提取特征向量; 码字生成单元，被配置为通过对每个级别图像的特征向量进行聚类来生成码字; 直方图生成单元，被配置为生成与所述码字对应的直方图; 以及分类器，被配置为基于直方图生成目标图像的对象识别信息。