JPWO2021220343A1 - - Google Patents

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Publication number
JPWO2021220343A1
JPWO2021220343A1 JP2022518441A JP2022518441A JPWO2021220343A1 JP WO2021220343 A1 JPWO2021220343 A1 JP WO2021220343A1 JP 2022518441 A JP2022518441 A JP 2022518441A JP 2022518441 A JP2022518441 A JP 2022518441A JP WO2021220343 A1 JPWO2021220343 A1 JP WO2021220343A1
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JP
Japan
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JP2022518441A
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Japanese (ja)
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JPWO2021220343A5 (https=
JP7392836B2 (ja
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00Two-dimensional [2D] image generation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0475Generative networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/094Adversarial learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747Organisation of the process, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/778Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7792Active 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"
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

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  • 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 true JPWO2021220343A1 (https=) 2021-11-04
JPWO2021220343A5 JPWO2021220343A5 (https=) 2023-01-23
JP7392836B2 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, JPN6023043567, 2019, ISSN: 0005180856 *

Also Published As

Publication number Publication date
US20220366228A1 (en) 2022-11-17
WO2021220343A1 (ja) 2021-11-04
JP7392836B2 (ja) 2023-12-06

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