JP7392836B2 - データ生成装置、データ生成方法、学習装置及び記録媒体 - Google Patents

データ生成装置、データ生成方法、学習装置及び記録媒体 Download PDF

Info

Publication number
JP7392836B2
JP7392836B2 JP2022518441A JP2022518441A JP7392836B2 JP 7392836 B2 JP7392836 B2 JP 7392836B2 JP 2022518441 A JP2022518441 A JP 2022518441A JP 2022518441 A JP2022518441 A JP 2022518441A JP 7392836 B2 JP7392836 B2 JP 7392836B2
Authority
JP
Japan
Prior art keywords
data
fake
ratio
composite
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2022518441A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2021220343A5 (https=
JPWO2021220343A1 (https=
Inventor
亮 高本
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEC Corp
Original Assignee
NEC Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NEC Corp filed Critical NEC Corp
Publication of JPWO2021220343A1 publication Critical patent/JPWO2021220343A1/ja
Publication of JPWO2021220343A5 publication Critical patent/JPWO2021220343A5/ja
Application granted granted Critical
Publication of JP7392836B2 publication Critical patent/JP7392836B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—Two-dimensional [2D] image generation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/094—Adversarial learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7792—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being an automated module, e.g. "intelligent oracle"
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Neurology (AREA)
  • Processing Or Creating Images (AREA)
  • Image Analysis (AREA)
JP2022518441A 2020-04-27 2020-04-27 データ生成装置、データ生成方法、学習装置及び記録媒体 Active JP7392836B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/017974 WO2021220343A1 (ja) 2020-04-27 2020-04-27 データ生成装置、データ生成方法、学習装置及び記録媒体

Publications (3)

Publication Number Publication Date
JPWO2021220343A1 JPWO2021220343A1 (https=) 2021-11-04
JPWO2021220343A5 JPWO2021220343A5 (https=) 2023-01-23
JP7392836B2 true JP7392836B2 (ja) 2023-12-06

Family

ID=78373422

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022518441A Active JP7392836B2 (ja) 2020-04-27 2020-04-27 データ生成装置、データ生成方法、学習装置及び記録媒体

Country Status (3)

Country Link
US (1) US20220366228A1 (https=)
JP (1) JP7392836B2 (https=)
WO (1) WO2021220343A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2023149513A1 (https=) * 2022-02-05 2023-08-10
KR20230135383A (ko) * 2022-03-16 2023-09-25 삼성에스디에스 주식회사 가짜 이미지 판별 모델 학습 방법 및 장치

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020013563A (ja) 2018-07-19 2020-01-23 パロ アルト リサーチ センター インコーポレイテッド 意味的情報に基づいてフォトリアリスティックな合成画像を生成するためのシステムおよび方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017203262A2 (en) * 2016-05-25 2017-11-30 Metail Limited Method and system for predicting garment attributes using deep learning
WO2018055684A1 (ja) * 2016-09-21 2018-03-29 株式会社島津製作所 画像処理装置
US11621058B2 (en) * 2018-02-08 2023-04-04 Ohio State Innovation Foundation Synthetic IHC-stained digital sides generated using artificial neural networks
RU2762144C1 (ru) * 2018-09-30 2021-12-16 Боэ Текнолоджи Груп Ко., Лтд. Устройство и способ для обработки изображения и система для обучения нейроной сети
WO2021147066A1 (en) * 2020-01-23 2021-07-29 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for image classification

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020013563A (ja) 2018-07-19 2020-01-23 パロ アルト リサーチ センター インコーポレイテッド 意味的情報に基づいてフォトリアリスティックな合成画像を生成するためのシステムおよび方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
VANDENHENDE, Simon et al.，A Three-Player GAN: Generating Hard Samples To Improve Classification Networks，arxiv，2019年，https://arxiv.org/abs/1903.03496

Also Published As

Publication number Publication date
US20220366228A1 (en) 2022-11-17
WO2021220343A1 (ja) 2021-11-04
JPWO2021220343A1 (https=) 2021-11-04

Similar Documents

Publication Publication Date Title
US11093805B2 (en) Image recognition method and apparatus, image verification method and apparatus, learning method and apparatus to recognize image, and learning method and apparatus to verify image
CN113569790B (zh) 图像处理方法及装置、处理器、电子设备及存储介质
US10346726B2 (en) Image recognition method and apparatus, image verification method and apparatus, learning method and apparatus to recognize image, and learning method and apparatus to verify image
CN108229526A (zh) 网络训练、图像处理方法、装置、存储介质和电子设备
JP7392836B2 (ja) データ生成装置、データ生成方法、学習装置及び記録媒体
JP7047498B2 (ja) 学習プログラム、学習方法および学習装置
Dai et al. Generative adversarial network to alleviate information insufficiency in intelligent fault diagnosis by generating continuations of signals
US11748594B2 (en) Electronic apparatus and control method thereof
Tarasiewicz et al. Skinny: A lightweight U-Net for skin detection and segmentation
JP2019185127A (ja) 多層ニューラルネットワークの学習装置およびその制御方法
JP2021170284A (ja) 情報処理装置及びプログラム
Gao et al. Bottom-up and top-down: Bidirectional additive net for edge detection
CN110956575A (zh) 转变图像风格的方法和装置、卷积神经网络处理器
CN116092154B (zh) 一种基于改进YOLOv5的实时小人脸检测方法
TW202211154A (zh) 用於在低信號雜訊比成像情況下減少雜訊之深度學習模型
CN117671431B (zh) 一种工业缺陷图像生成方法、装置、设备及存储介质
CN118691482A (zh) 具有超级采样功能的方法和装置
KR20200058297A (ko) 설명 가능한 소수샷 영상 분류 방법 및 장치
Huang et al. A method for identifying origin of digital images using a convolutional neural network
KR102864472B1 (ko) 기계 학습을 위한 이미지 처리 장치 및 방법
CN117459649A (zh) 一种基于图像风格迁移的大容量信息隐藏方法及系统
US11288534B2 (en) Apparatus and method for image processing for machine learning
CN115239584A (zh) 用三维合成数据去除人像眼镜及其阴影的方法及装置
Al-Qerem et al. Comparison between transfer learning and data augmentation on medical images classification
CN117765620B (zh) 一种基于自增强的深度伪造图像鉴伪方法和系统

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20221026

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20221026

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20231024

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20231106

R151 Written notification of patent or utility model registration

Ref document number: 7392836

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R151