CN117651971A - 识别模型生成方法以及识别模型生成装置 - Google Patents

识别模型生成方法以及识别模型生成装置 Download PDF

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Publication number
CN117651971A
CN117651971A CN202280049628.3A CN202280049628A CN117651971A CN 117651971 A CN117651971 A CN 117651971A CN 202280049628 A CN202280049628 A CN 202280049628A CN 117651971 A CN117651971 A CN 117651971A
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China
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recognition model
image
recognition
learning
data
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CN202280049628.3A
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English (en)
Chinese (zh)
Inventor
中村匡芳
堤匡史
和泉智之
古川康平
村冈慧
桦泽达将
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Ruishide Co ltd
Kyocera Corp
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Ruishide Co ltd
Kyocera Corp
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Publication of CN117651971A publication Critical patent/CN117651971A/zh
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    • 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
    • G06V10/77—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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • 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
    • G06V10/77—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
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional [3D] objects

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Image Analysis (AREA)
CN202280049628.3A 2021-07-15 2022-07-14 识别模型生成方法以及识别模型生成装置 Pending CN117651971A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2021-117345 2021-07-15
JP2021117345 2021-07-15
PCT/JP2022/027775 WO2023286847A1 (ja) 2021-07-15 2022-07-14 認識モデル生成方法及び認識モデル生成装置

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CN117651971A true CN117651971A (zh) 2024-03-05

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CN202280049628.3A Pending CN117651971A (zh) 2021-07-15 2022-07-14 识别模型生成方法以及识别模型生成装置

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US (1) US20240355097A1 (https=)
EP (1) EP4372679A4 (https=)
JP (2) JP7581521B2 (https=)
CN (1) CN117651971A (https=)
WO (1) WO2023286847A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024201655A1 (ja) * 2023-03-27 2024-10-03 ファナック株式会社 学習データ生成装置、ロボットシステム、学習データ生成方法および学習データ生成プログラム
WO2025069198A1 (ja) * 2023-09-26 2025-04-03 日本電信電話株式会社 設定補助装置、設定補助方法、および設定補助プログラム
WO2026009899A1 (ja) * 2024-07-02 2026-01-08 京セラ株式会社 学習方法、学習装置、処理装置及びプログラム

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019032481A1 (en) * 2017-08-08 2019-02-14 Siemens Aktiengesellschaft GENERATING SYNTHESIS DEPTH IMAGES FROM CAD DATA USING GENERATIVE CONTRASICITY NEURAL NETWORKS FOR ENHANCED ENHANCEMENT
WO2019059343A1 (ja) * 2017-09-22 2019-03-28 Ntn株式会社 ワーク情報処理装置およびワークの認識方法
CN109816634A (zh) * 2018-12-29 2019-05-28 歌尔股份有限公司 检测方法、模型训练方法、装置及设备
CN109961421A (zh) * 2017-12-25 2019-07-02 欧姆龙株式会社 数据生成装置、数据生成方法以及数据生成记录介质
JP2019191973A (ja) * 2018-04-26 2019-10-31 株式会社神戸製鋼所 学習画像生成装置及び学習画像生成方法、並びに画像認識装置及び画像認識方法
US20200074231A1 (en) * 2018-08-29 2020-03-05 Panasonic Intellectual Property Corporation Of America Information processing method and information processing system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6911123B2 (ja) * 2017-07-28 2021-07-28 株式会社ソニー・インタラクティブエンタテインメント 学習装置、認識装置、学習方法、認識方法及びプログラム
JP6822929B2 (ja) * 2017-09-19 2021-01-27 株式会社東芝 情報処理装置、画像認識方法および画像認識プログラム
JP7466928B2 (ja) * 2018-09-12 2024-04-15 オルソグリッド システムズ ホールディング，エルエルシー 人工知能の術中外科的ガイダンスシステムと使用方法
WO2020102767A1 (en) * 2018-11-16 2020-05-22 Google Llc Generating synthetic images and/or training machine learning model(s) based on the synthetic images

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019032481A1 (en) * 2017-08-08 2019-02-14 Siemens Aktiengesellschaft GENERATING SYNTHESIS DEPTH IMAGES FROM CAD DATA USING GENERATIVE CONTRASICITY NEURAL NETWORKS FOR ENHANCED ENHANCEMENT
WO2019059343A1 (ja) * 2017-09-22 2019-03-28 Ntn株式会社 ワーク情報処理装置およびワークの認識方法
CN109961421A (zh) * 2017-12-25 2019-07-02 欧姆龙株式会社 数据生成装置、数据生成方法以及数据生成记录介质
JP2019191973A (ja) * 2018-04-26 2019-10-31 株式会社神戸製鋼所 学習画像生成装置及び学習画像生成方法、並びに画像認識装置及び画像認識方法
US20200074231A1 (en) * 2018-08-29 2020-03-05 Panasonic Intellectual Property Corporation Of America Information processing method and information processing system
CN109816634A (zh) * 2018-12-29 2019-05-28 歌尔股份有限公司 检测方法、模型训练方法、装置及设备

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
QING LIU等: "CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models", ARXIV, 25 March 2021 (2021-03-25) *

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Publication number Publication date
EP4372679A1 (en) 2024-05-22
EP4372679A4 (en) 2025-05-21
US20240355097A1 (en) 2024-10-24
JP2025014039A (ja) 2025-01-28
WO2023286847A1 (ja) 2023-01-19
JPWO2023286847A1 (https=) 2023-01-19
JP7581521B2 (ja) 2024-11-12

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