JP7391553B2 - 情報処理装置、情報処理方法、及びプログラム - Google Patents

情報処理装置、情報処理方法、及びプログラム Download PDF

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JP7391553B2
JP7391553B2 JP2019122086A JP2019122086A JP7391553B2 JP 7391553 B2 JP7391553 B2 JP 7391553B2 JP 2019122086 A JP2019122086 A JP 2019122086A JP 2019122086 A JP2019122086 A JP 2019122086A JP 7391553 B2 JP7391553 B2 JP 7391553B2
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storage method
kernels
size
storage
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JP2021009491A5 (enExample
JP2021009491A (ja
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大介 中嶋
ソクイ チン
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Canon Inc
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Canon Inc
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    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
    • 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • 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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—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 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/955—Hardware or software architectures specially adapted for image or video understanding using specific electronic processors

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
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  • General Physics & Mathematics (AREA)
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  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Neurology (AREA)
  • Medical Informatics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Databases & Information Systems (AREA)
  • Image Analysis (AREA)
  • Complex Calculations (AREA)
JP2019122086A 2019-06-28 2019-06-28 情報処理装置、情報処理方法、及びプログラム Active JP7391553B2 (ja)

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JP2019122086A JP7391553B2 (ja) 2019-06-28 2019-06-28 情報処理装置、情報処理方法、及びプログラム
US16/900,613 US11537438B2 (en) 2019-06-28 2020-06-12 Information processing apparatus, information processing method, and storage medium for efficient storage of kernels of various sizes

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JP7278150B2 (ja) * 2019-05-23 2023-05-19 キヤノン株式会社 画像処理装置、撮像装置、画像処理方法
US11568049B2 (en) * 2019-09-27 2023-01-31 Mcafee, Llc Methods and apparatus to defend against adversarial machine learning
US20220137866A1 (en) * 2020-11-02 2022-05-05 Deepx Co., Ltd. Memory device for an artificial neural network
KR20240059638A (ko) 2020-11-02 2024-05-07 주식회사 딥엑스 데이터 지연시간을 최소화시킨 인공신경망 연산 시스템
US11972137B2 (en) 2020-11-02 2024-04-30 Deepx Co., Ltd. System and memory for artificial neural network (ANN) optimization using ANN data locality

Citations (3)

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JP2018116469A (ja) 2017-01-18 2018-07-26 株式会社日立製作所 演算システムおよびニューラルネットワークの演算方法
JP2019008421A (ja) 2017-06-21 2019-01-17 コニカミノルタ株式会社 処理方法、プログラム、情報処理装置、および画像処理装置
JP2019082996A (ja) 2017-10-31 2019-05-30 ナンジン ホライゾン ロボティクス テクノロジー カンパニー リミテッドＮａｎｊｉｎｇ Ｈｏｒｉｚｏｎ Ｒｏｂｏｔｉｃｓ Ｔｅｃｈｎｏｌｏｇｙ Ｃｏ．， Ｌｔｄ． 畳み込みニューラルネットワークにおいて演算を実行する方法および装置並びに非一時的な記憶媒体

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JP2729987B2 (ja) 1989-09-20 1998-03-18 富士通株式会社 ネットワーク構成データ処理装置の重み保持方式
US10438115B2 (en) * 2016-12-01 2019-10-08 Via Alliance Semiconductor Co., Ltd. Neural network unit with memory layout to perform efficient 3-dimensional convolutions
US10956359B2 (en) * 2017-08-16 2021-03-23 Intel Corporation Smart performance of spill fill data transfers in computing environments
US11010308B2 (en) * 2018-08-10 2021-05-18 Lg Electronics Inc. Optimizing data partitioning and replacement strategy for convolutional neural networks

Patent Citations (3)

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Publication number Priority date Publication date Assignee Title
JP2018116469A (ja) 2017-01-18 2018-07-26 株式会社日立製作所 演算システムおよびニューラルネットワークの演算方法
JP2019008421A (ja) 2017-06-21 2019-01-17 コニカミノルタ株式会社 処理方法、プログラム、情報処理装置、および画像処理装置
JP2019082996A (ja) 2017-10-31 2019-05-30 ナンジン ホライゾン ロボティクス テクノロジー カンパニー リミテッドＮａｎｊｉｎｇ Ｈｏｒｉｚｏｎ Ｒｏｂｏｔｉｃｓ Ｔｅｃｈｎｏｌｏｇｙ Ｃｏ．， Ｌｔｄ． 畳み込みニューラルネットワークにおいて演算を実行する方法および装置並びに非一時的な記憶媒体

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US20200409760A1 (en) 2020-12-31
US11537438B2 (en) 2022-12-27

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