SG11202103479VA - Method and apparatus for neutral network training and method and apparatus for image generation - Google Patents

Method and apparatus for neutral network training and method and apparatus for image generation

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Publication number
SG11202103479VA
SG11202103479VA SG11202103479VA SG11202103479VA SG11202103479VA SG 11202103479V A SG11202103479V A SG 11202103479VA SG 11202103479V A SG11202103479V A SG 11202103479VA SG 11202103479V A SG11202103479V A SG 11202103479VA SG 11202103479V A SG11202103479V A SG 11202103479VA
Authority
SG
Singapore
Prior art keywords
image generation
network training
neutral network
neutral
training
Prior art date
Application number
SG11202103479VA
Inventor
Yubin Deng
Bo Dai
Yuanbo Xiangli
Dahua Lin
Chen Change Loy
Original Assignee
Beijing Sensetime Technology Development Co Ltd
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 Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11202103479VA publication Critical patent/SG11202103479VA/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G06V10/776—Validation; Performance evaluation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Quality & Reliability (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
SG11202103479VA 2019-09-27 2019-12-11 Method and apparatus for neutral network training and method and apparatus for image generation SG11202103479VA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910927729.6A CN110634167B (en) 2019-09-27 2019-09-27 Neural network training method and device and image generation method and device
PCT/CN2019/124541 WO2021056843A1 (en) 2019-09-27 2019-12-11 Neural network training method and apparatus and image generation method and apparatus

Publications (1)

Publication Number Publication Date
SG11202103479VA true SG11202103479VA (en) 2021-05-28

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202103479VA SG11202103479VA (en) 2019-09-27 2019-12-11 Method and apparatus for neutral network training and method and apparatus for image generation

Country Status (7)

Country Link
US (1) US20210224607A1 (en)
JP (1) JP7165818B2 (en)
KR (1) KR20210055747A (en)
CN (1) CN110634167B (en)
SG (1) SG11202103479VA (en)
TW (1) TWI752405B (en)
WO (1) WO2021056843A1 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2594070B (en) * 2020-04-15 2023-02-08 James Hoyle Benjamin Signal processing system and method
US11272097B2 (en) * 2020-07-30 2022-03-08 Steven Brian Demers Aesthetic learning methods and apparatus for automating image capture device controls
KR102352658B1 (en) * 2020-12-31 2022-01-19 주식회사 나인티나인 A construction information management system and a method for controlling the same
CN112990211B (en) * 2021-01-29 2023-07-11 华为技术有限公司 Training method, image processing method and device for neural network
CA3207420A1 (en) 2021-02-04 2022-08-11 Andrew Brock Neural networks with adaptive gradient clipping
EP4047524A1 (en) * 2021-02-18 2022-08-24 Robert Bosch GmbH Device and method for training a machine learning system for generating images
CN113159315A (en) * 2021-04-06 2021-07-23 华为技术有限公司 Neural network training method, data processing method and related equipment
TWI766690B (en) * 2021-05-18 2022-06-01 詮隼科技股份有限公司 Data packet generating method and setting method of data packet generating system
KR102636866B1 (en) * 2021-06-14 2024-02-14 아주대학교산학협력단 Method and Apparatus for Human Parsing Using Spatial Distribution
CN114501164A (en) * 2021-12-28 2022-05-13 海信视像科技股份有限公司 Method and device for labeling audio and video data and electronic equipment
CN114881884B (en) * 2022-05-24 2024-03-29 河南科技大学 Infrared target sample enhancement method based on generation countermeasure network

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100996209B1 (en) * 2008-12-23 2010-11-24 중앙대학교 산학협력단 Object Modeling Method using Gradient Template, and The System thereof
US8520958B2 (en) * 2009-12-21 2013-08-27 Stmicroelectronics International N.V. Parallelization of variable length decoding
WO2018052587A1 (en) * 2016-09-14 2018-03-22 Konica Minolta Laboratory U.S.A., Inc. Method and system for cell image segmentation using multi-stage convolutional neural networks
JP6318211B2 (en) * 2016-10-03 2018-04-25 株式会社Ｐｒｅｆｅｒｒｅｄ Ｎｅｔｗｏｒｋｓ Data compression apparatus, data reproduction apparatus, data compression method, data reproduction method, and data transfer method
EP3336800B1 (en) * 2016-12-19 2019-08-28 Siemens Healthcare GmbH Determination of a training function for generating annotated training images
CN107293289B (en) * 2017-06-13 2020-05-29 南京医科大学 Speech generation method for generating confrontation network based on deep convolution
US10665326B2 (en) * 2017-07-25 2020-05-26 Insilico Medicine Ip Limited Deep proteome markers of human biological aging and methods of determining a biological aging clock
CN108495110B (en) * 2018-01-19 2020-03-17 天津大学 Virtual viewpoint image generation method based on generation type countermeasure network
CN108510435A (en) * 2018-03-28 2018-09-07 北京市商汤科技开发有限公司 Image processing method and device, electronic equipment and storage medium
CN108615073B (en) * 2018-04-28 2020-11-03 京东数字科技控股有限公司 Image processing method and device, computer readable storage medium and electronic device
CN109377448B (en) * 2018-05-20 2021-05-07 北京工业大学 Face image restoration method based on generation countermeasure network
CN108805833B (en) * 2018-05-29 2019-06-18 西安理工大学 Miscellaneous minimizing technology of copybook binaryzation ambient noise based on condition confrontation network
CN109377452B (en) * 2018-08-31 2020-08-04 西安电子科技大学 Face image restoration method based on VAE and generation type countermeasure network
CN109933677A (en) * 2019-02-14 2019-06-25 厦门一品威客网络科技股份有限公司 Image generating method and image generation system
CN109919921B (en) * 2019-02-25 2023-10-20 天津大学 Environmental impact degree modeling method based on generation countermeasure network
CN109920016B (en) * 2019-03-18 2021-06-25 北京市商汤科技开发有限公司 Image generation method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN110634167A (en) 2019-12-31
US20210224607A1 (en) 2021-07-22
JP7165818B2 (en) 2022-11-04
WO2021056843A1 (en) 2021-04-01
TWI752405B (en) 2022-01-11
JP2022504071A (en) 2022-01-13
KR20210055747A (en) 2021-05-17
TW202113752A (en) 2021-04-01
CN110634167B (en) 2021-07-20

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