EP3472760A4 - Konstruktion eines neuronalen konvolutionsnetzes - Google Patents

Konstruktion eines neuronalen konvolutionsnetzes Download PDF

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Publication number
EP3472760A4
EP3472760A4 EP16905085.3A EP16905085A EP3472760A4 EP 3472760 A4 EP3472760 A4 EP 3472760A4 EP 16905085 A EP16905085 A EP 16905085A EP 3472760 A4 EP3472760 A4 EP 3472760A4
Authority
EP
European Patent Office
Prior art keywords
neural network
convolutional neural
building convolutional
building
network
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.)
Withdrawn
Application number
EP16905085.3A
Other languages
English (en)
French (fr)
Other versions
EP3472760A1 (de
Inventor
Jiale CAO
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.)
Nokia Technologies Oy
Original Assignee
Nokia Technologies Oy
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 Nokia Technologies Oy filed Critical Nokia Technologies Oy
Publication of EP3472760A1 publication Critical patent/EP3472760A1/de
Publication of EP3472760A4 publication Critical patent/EP3472760A4/de
Withdrawn legal-status Critical Current

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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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • 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
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • 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
    • G06V10/82—Arrangements 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)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Software Systems (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Image Analysis (AREA)
EP16905085.3A 2016-06-17 2016-06-17 Konstruktion eines neuronalen konvolutionsnetzes Withdrawn EP3472760A4 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/086154 WO2017214970A1 (en) 2016-06-17 2016-06-17 Building convolutional neural network

Publications (2)

Publication Number Publication Date
EP3472760A1 EP3472760A1 (de) 2019-04-24
EP3472760A4 true EP3472760A4 (de) 2020-03-04

Family

ID=60663851

Family Applications (1)

Application Number Title Priority Date Filing Date
EP16905085.3A Withdrawn EP3472760A4 (de) 2016-06-17 2016-06-17 Konstruktion eines neuronalen konvolutionsnetzes

Country Status (3)

Country Link
EP (1) EP3472760A4 (de)
CN (1) CN109643396A (de)
WO (1) WO2017214970A1 (de)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210081754A1 (en) * 2018-01-08 2021-03-18 Eyesight Mobile Technologies Ltd. Error correction in convolutional neural networks
KR20200028168A (ko) * 2018-09-06 2020-03-16 삼성전자주식회사 컨볼루셔널 뉴럴 네트워크를 이용하는 컴퓨팅 장치 및 그 동작 방법
US10810726B2 (en) 2019-01-30 2020-10-20 Walmart Apollo, Llc Systems and methods for detecting content in images using neural network architectures
US10922584B2 (en) 2019-01-30 2021-02-16 Walmart Apollo, Llc Systems, methods, and techniques for training neural networks and utilizing the neural networks to detect non-compliant content
CN110309837B (zh) * 2019-07-05 2021-07-06 北京迈格威科技有限公司 基于卷积神经网络特征图的数据处理方法及图像处理方法
US11758069B2 (en) 2020-01-27 2023-09-12 Walmart Apollo, Llc Systems and methods for identifying non-compliant images using neural network architectures
CN113435376B (zh) * 2021-07-05 2023-04-18 宝鸡文理学院 基于离散小波变换的双向特征融合深度卷积神经网络构建方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2833295A2 (de) * 2013-07-31 2015-02-04 Fujitsu Limited Auf Convolutional-Neural-Network basierender Klassifikator und Klassifizierungsverfahren und Trainingsverfahren dafür
WO2017015649A1 (en) * 2015-07-23 2017-01-26 Mireplica Technology, Llc Performance enhancement for two-dimensional array processor
US20180082181A1 (en) * 2016-05-13 2018-03-22 Samsung Electronics, Co. Ltd. Neural Network Reordering, Weight Compression, and Processing

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8873813B2 (en) * 2012-09-17 2014-10-28 Z Advanced Computing, Inc. Application of Z-webs and Z-factors to analytics, search engine, learning, recognition, natural language, and other utilities
US9202144B2 (en) * 2013-10-30 2015-12-01 Nec Laboratories America, Inc. Regionlets with shift invariant neural patterns for object detection
US10417525B2 (en) * 2014-09-22 2019-09-17 Samsung Electronics Co., Ltd. Object recognition with reduced neural network weight precision
CN104850890B (zh) * 2015-04-14 2017-09-26 西安电子科技大学 基于实例学习和Sadowsky分布的卷积神经网络参数调整方法
CN104978601B (zh) * 2015-06-26 2017-08-25 深圳市腾讯计算机系统有限公司 神经网络模型训练系统和方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2833295A2 (de) * 2013-07-31 2015-02-04 Fujitsu Limited Auf Convolutional-Neural-Network basierender Klassifikator und Klassifizierungsverfahren und Trainingsverfahren dafür
WO2017015649A1 (en) * 2015-07-23 2017-01-26 Mireplica Technology, Llc Performance enhancement for two-dimensional array processor
US20180082181A1 (en) * 2016-05-13 2018-03-22 Samsung Electronics, Co. Ltd. Neural Network Reordering, Weight Compression, and Processing

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
KAIMING HE ET AL: "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition", 12TH EUROPEAN CONFERENCE ON COMPUTER VISION, ECCV 2012, vol. III, 8 September 2014 (2014-09-08), Berlin, Heidelberg, pages 346 - 361, XP055273779, ISSN: 0302-9743, ISBN: 978-3-642-33862-5, DOI: 10.1007/978-3-319-10578-9_23 *
PANG YANWEI ET AL: "Convolution in Convolution for Network in Network", IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE, PISCATAWAY, NJ, USA, vol. 29, no. 5, 1 May 2018 (2018-05-01), pages 1587 - 1597, XP011681448, ISSN: 2162-237X, [retrieved on 20180416], DOI: 10.1109/TNNLS.2017.2676130 *
See also references of WO2017214970A1 *

Also Published As

Publication number Publication date
WO2017214970A1 (en) 2017-12-21
EP3472760A1 (de) 2019-04-24
CN109643396A (zh) 2019-04-16

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