JP7710507B2 - 表畳み込みおよびアクセラレーション - Google Patents

表畳み込みおよびアクセラレーション

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Publication number
JP7710507B2
JP7710507B2 JP2023509673A JP2023509673A JP7710507B2 JP 7710507 B2 JP7710507 B2 JP 7710507B2 JP 2023509673 A JP2023509673 A JP 2023509673A JP 2023509673 A JP2023509673 A JP 2023509673A JP 7710507 B2 JP7710507 B2 JP 7710507B2
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Japan
Prior art keywords
input data
convolution
output
pointer
generate
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JP2023509673A
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Japanese (ja)
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JP2023541350A (ja
JP2023541350A5 (https=
Inventor
リン、ジェイミー・メンジャイ
ハン、シジョン・スティーブ
ポリクリ、ファティ・ムラト
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Qualcomm Inc
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Qualcomm Inc
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/15—Correlation function computation including computation of convolution operations
    • G06F17/153—Multidimensional correlation or convolution
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/258—Data format conversion from or to a database
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/40—Analysis of texture
    • G06T7/41—Analysis of texture based on statistical description of texture
    • G06T7/45—Analysis of texture based on statistical description of texture using co-occurrence matrix computation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/192—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
    • G06V30/195—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references using a resistor matrix
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30204—Marker
    • G06T2207/30208—Marker matrix

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Multimedia (AREA)
  • Algebra (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Complex Calculations (AREA)
JP2023509673A 2020-08-21 2021-08-20 表畳み込みおよびアクセラレーション Active JP7710507B2 (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202063068891P 2020-08-21 2020-08-21
US63/068,891 2020-08-21
US17/407,046 US12080086B2 (en) 2020-08-21 2021-08-19 Sparse-aware convolution and techniques for acceleration thereof
US17/407,046 2021-08-19
PCT/US2021/046977 WO2022040575A1 (en) 2020-08-21 2021-08-20 Tabular convolution and acceleration

Publications (3)

Publication Number Publication Date
JP2023541350A JP2023541350A (ja) 2023-10-02
JP2023541350A5 JP2023541350A5 (https=) 2024-07-30
JP7710507B2 true JP7710507B2 (ja) 2025-07-18

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Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023509673A Active JP7710507B2 (ja) 2020-08-21 2021-08-20 表畳み込みおよびアクセラレーション

Country Status (7)

Country Link
US (1) US12080086B2 (https=)
EP (1) EP4200722A1 (https=)
JP (1) JP7710507B2 (https=)
KR (1) KR20230050340A (https=)
CN (1) CN116075821A (https=)
BR (1) BR112023002375A2 (https=)
WO (1) WO2022040575A1 (https=)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12080086B2 (en) * 2020-08-21 2024-09-03 Qualcomm Incorporated Sparse-aware convolution and techniques for acceleration thereof
US20230086378A1 (en) * 2021-09-22 2023-03-23 Qualcomm Incorporated Shaped convolution kernels
CN114580613B (zh) * 2022-03-01 2025-03-25 珠海亿智电子科技有限公司 一种数据处理方法、装置、终端及存储介质
US11868329B2 (en) * 2022-05-20 2024-01-09 International Business Machines Corporation Multidimensional cube multivariate regression
CN115639935B (zh) * 2022-12-14 2023-03-14 亿海蓝（北京）数据技术股份公司 表格操作方法、装置和可读存储介质
US20240320299A1 (en) * 2023-03-02 2024-09-26 Imagination Technologies Limited Methods and systems for performing a standard deconvolution on a gpu
CN116935233B (zh) * 2023-09-15 2023-12-12 瀚博半导体(上海)有限公司 用于激光雷达的目标检测方法和装置

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180253635A1 (en) 2017-03-03 2018-09-06 Samsung Electronics Co, Ltd. Neural network devices and methods of operating the same
JP2019211879A (ja) 2018-06-01 2019-12-12 株式会社デンソーアイティーラボラトリ ３次元畳込み演算装置、ビジュアルオドメトリシステム、及び３次元畳込みプログラム

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* Cited by examiner, † Cited by third party
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GB0400974D0 (en) * 2004-01-16 2004-02-18 Solexa Ltd Multiple inexact matching
US9104271B1 (en) * 2011-06-03 2015-08-11 Richard Adams Gloved human-machine interface
US10846524B2 (en) * 2018-11-14 2020-11-24 Adobe Inc. Table layout determination using a machine learning system
US10997729B2 (en) * 2018-11-30 2021-05-04 Baidu Usa Llc Real time object behavior prediction
US12080086B2 (en) * 2020-08-21 2024-09-03 Qualcomm Incorporated Sparse-aware convolution and techniques for acceleration thereof

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180253635A1 (en) 2017-03-03 2018-09-06 Samsung Electronics Co, Ltd. Neural network devices and methods of operating the same
JP2019211879A (ja) 2018-06-01 2019-12-12 株式会社デンソーアイティーラボラトリ ３次元畳込み演算装置、ビジュアルオドメトリシステム、及び３次元畳込みプログラム

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Yan Yan, 外2名，SECOND: Sparsely Embedded Convolutional Detection，Sensors, [online], [text]，第18巻, 第10号，2018年10月06日，p.1-17，[取得日 2025.06.05], 取得先＜https://www.mdpi.com/1424-8220/18/10/3337＞
進藤智則，ロボットの眼が進化、動きに強いイベント駆動型非同期ディープニューラルネットで演算量も削減，ＮＩＫＫＥＩ Ｒｏｂｏｔｉｃｓ，日本，日経ＢＰ，2020年06月10日，第60号，p.3-11，ISSN 2189-5783

Also Published As

Publication number Publication date
US12080086B2 (en) 2024-09-03
US20220058450A1 (en) 2022-02-24
WO2022040575A1 (en) 2022-02-24
JP2023541350A (ja) 2023-10-02
CN116075821A (zh) 2023-05-05
KR20230050340A (ko) 2023-04-14
BR112023002375A2 (pt) 2023-03-21
EP4200722A1 (en) 2023-06-28

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