JPWO2021079459A1 - - Google Patents

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Publication number
JPWO2021079459A1
JPWO2021079459A1 JP2021553229A JP2021553229A JPWO2021079459A1 JP WO2021079459 A1 JPWO2021079459 A1 JP WO2021079459A1 JP 2021553229 A JP2021553229 A JP 2021553229A JP 2021553229 A JP2021553229 A JP 2021553229A JP WO2021079459 A1 JPWO2021079459 A1 JP WO2021079459A1
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Japan
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JP2021553229A
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Japanese (ja)
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JPWO2021079459A5 (https=
JP7400827B2 (ja
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/285Selection of pattern recognition techniques, e.g. of classifiers in a multi-classifier system
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
  • Testing And Monitoring For Control Systems (AREA)
JP2021553229A 2019-10-24 2019-10-24 検出方法、検出プログラムおよび情報処理装置 Active JP7400827B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/041690 WO2021079459A1 (ja) 2019-10-24 2019-10-24 検出方法、検出プログラムおよび情報処理装置

Publications (3)

Publication Number Publication Date
JPWO2021079459A1 true JPWO2021079459A1 (https=) 2021-04-29
JPWO2021079459A5 JPWO2021079459A5 (https=) 2022-06-03
JP7400827B2 JP7400827B2 (ja) 2023-12-19

Family

ID=75620436

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021553229A Active JP7400827B2 (ja) 2019-10-24 2019-10-24 検出方法、検出プログラムおよび情報処理装置

Country Status (3)

Country Link
US (1) US20220207307A1 (https=)
JP (1) JP7400827B2 (https=)
WO (1) WO2021079459A1 (https=)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7306468B2 (ja) * 2019-10-24 2023-07-11 富士通株式会社 検出方法、検出プログラムおよび情報処理装置
CN111797893B (zh) * 2020-05-26 2021-09-14 华为技术有限公司 一种神经网络的训练方法、图像分类系统及相关设备
US20240289691A1 (en) * 2021-06-29 2024-08-29 Nec Corporation Machine learning model improvement measure presenting apparatus
US20240096063A1 (en) * 2022-09-21 2024-03-21 Microsoft Technology Licensing, Llc Integrating model reuse with model retraining for video analytics
WO2024247048A1 (ja) * 2023-05-29 2024-12-05 日本電信電話株式会社 逆像推定装置、逆像推定方法及びプログラム

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016152053A1 (ja) * 2015-03-23 2016-09-29 日本電気株式会社 精度推定モデル生成システムおよび精度推定システム
JP2019164774A (ja) * 2018-03-15 2019-09-26 富士通株式会社 学習装置、検査装置、学習検査方法、学習プログラムおよび検査プログラム

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180268292A1 (en) * 2017-03-17 2018-09-20 Nec Laboratories America, Inc. Learning efficient object detection models with knowledge distillation
US11410029B2 (en) * 2018-01-02 2022-08-09 International Business Machines Corporation Soft label generation for knowledge distillation
US11487997B2 (en) * 2018-10-04 2022-11-01 Visa International Service Association Method, system, and computer program product for local approximation of a predictive model
CN113614738B (zh) * 2019-03-22 2024-12-17 国际商业机器公司 使用蒸馏的具有个体目标类别的多个模型的统一

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016152053A1 (ja) * 2015-03-23 2016-09-29 日本電気株式会社 精度推定モデル生成システムおよび精度推定システム
JP2019164774A (ja) * 2018-03-15 2019-09-26 富士通株式会社 学習装置、検査装置、学習検査方法、学習プログラムおよび検査プログラム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ROMERO, ADRIANA ほか: "FitNets: Hints for Thin Deep Nets", ARXIV[ONLINE], JPN6019051002, 27 March 2015 (2015-03-27), pages 1 - 13, ISSN: 0005071450 *

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Publication number Publication date
WO2021079459A1 (ja) 2021-04-29
US20220207307A1 (en) 2022-06-30
JP7400827B2 (ja) 2023-12-19

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