JP7453767B2 - 情報処理装置、情報処理方法 - Google Patents

情報処理装置、情報処理方法 Download PDF

Info

Publication number
JP7453767B2
JP7453767B2 JP2019174542A JP2019174542A JP7453767B2 JP 7453767 B2 JP7453767 B2 JP 7453767B2 JP 2019174542 A JP2019174542 A JP 2019174542A JP 2019174542 A JP2019174542 A JP 2019174542A JP 7453767 B2 JP7453767 B2 JP 7453767B2
Authority
JP
Japan
Prior art keywords
learning
learning data
data
information processing
neural 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.)
Active
Application number
JP2019174542A
Other languages
English (en)
Japanese (ja)
Other versions
JP2021051589A (ja
JP2021051589A5 (enExample
Inventor
裕一郎 飯尾
温之 鈴木
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.)
Canon Inc
Original Assignee
Canon Inc
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 Canon Inc filed Critical Canon Inc
Priority to JP2019174542A priority Critical patent/JP7453767B2/ja
Priority to US17/029,164 priority patent/US20210089823A1/en
Publication of JP2021051589A publication Critical patent/JP2021051589A/ja
Publication of JP2021051589A5 publication Critical patent/JP2021051589A5/ja
Application granted granted Critical
Publication of JP7453767B2 publication Critical patent/JP7453767B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/56—Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • 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
    • G06N3/08—Learning methods
    • 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • 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
    • G06N3/09—Supervised learning
    • 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • 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
    • G06V10/776—Validation; Performance evaluation
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Image Analysis (AREA)
  • Complex Calculations (AREA)
JP2019174542A 2019-09-25 2019-09-25 情報処理装置、情報処理方法 Active JP7453767B2 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2019174542A JP7453767B2 (ja) 2019-09-25 2019-09-25 情報処理装置、情報処理方法
US17/029,164 US20210089823A1 (en) 2019-09-25 2020-09-23 Information processing device, information processing method, and non-transitory computer-readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2019174542A JP7453767B2 (ja) 2019-09-25 2019-09-25 情報処理装置、情報処理方法

Publications (3)

Publication Number Publication Date
JP2021051589A JP2021051589A (ja) 2021-04-01
JP2021051589A5 JP2021051589A5 (enExample) 2022-10-04
JP7453767B2 true JP7453767B2 (ja) 2024-03-21

Family

ID=74881018

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019174542A Active JP7453767B2 (ja) 2019-09-25 2019-09-25 情報処理装置、情報処理方法

Country Status (2)

Country Link
US (1) US20210089823A1 (enExample)
JP (1) JP7453767B2 (enExample)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111044525B (zh) * 2019-12-30 2021-10-29 歌尔股份有限公司 一种产品缺陷检测方法、装置与系统
JP7533774B2 (ja) * 2021-04-21 2024-08-14 日本電気株式会社 情報処理装置、情報処理方法、及び、記録媒体
JP7655115B2 (ja) * 2021-06-30 2025-04-02 セイコーエプソン株式会社 機械学習モデルを用いて検査データの良否を判定する方法、情報処理装置、及び、コンピュータープログラム
WO2023007859A1 (ja) * 2021-07-27 2023-02-02 ソニーグループ株式会社 情報処理装置、情報処理方法及びコンピュータプログラム
JP7683426B2 (ja) * 2021-08-31 2025-05-27 株式会社Ｊｖｃケンウッド 画像処理装置、画像処理方法、および画像処理プログラム
KR20230043318A (ko) * 2021-09-24 2023-03-31 삼성전자주식회사 영상 내 객체를 분류하는 객체 분류 방법 및 장치
US20250124313A1 (en) * 2021-11-11 2025-04-17 Nec Corporation Information processing apparatus, information processing method, and storage medium
JP7765257B2 (ja) * 2021-11-16 2025-11-06 キヤノン株式会社 画像処理装置およびその制御方法、プログラム
JP2023098304A (ja) * 2021-12-28 2023-07-10 川崎重工業株式会社 教師データ生成装置および教師データ生成プログラム
JP2023120854A (ja) * 2022-02-18 2023-08-30 三菱重工業株式会社 情報処理装置、検知装置、情報処理方法及びプログラム
JP7559791B2 (ja) 2022-03-14 2024-10-02 トヨタ自動車株式会社 学習装置、その制御方法、及び、制御プログラム
JP2025521008A (ja) * 2022-11-30 2025-07-04 ビュノ インコーポレイテッド 生体イベントを予測する方法
JP7598581B1 (ja) 2023-10-05 2024-12-12 株式会社マーケットヴィジョン 情報処理システム
JP2025073953A (ja) * 2023-10-27 2025-05-13 アクタピオ，インコーポレイテッド 情報処理方法、情報処理装置および情報処理プログラム

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010009518A (ja) 2008-06-30 2010-01-14 Canon Inc パターン検出器の学習装置、学習方法及びプログラム
JP2014049118A (ja) 2012-08-31 2014-03-17 Fujitsu Ltd 畳み込みニューラルネットワーク分類器システム、その訓練方法、分類方法および用途
WO2016189675A1 (ja) 2015-05-27 2016-12-01 株式会社日立製作所 ニューラルネットワークの学習装置及び学習方法
US20180247107A1 (en) 2015-09-30 2018-08-30 Siemens Healthcare Gmbh Method and system for classification of endoscopic images using deep decision networks
JP2019159959A (ja) 2018-03-14 2019-09-19 オムロン株式会社 検査システム、識別システム、及び学習データ生成装置

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016006626A (ja) * 2014-05-28 2016-01-14 株式会社デンソーアイティーラボラトリ 検知装置、検知プログラム、検知方法、車両、パラメータ算出装置、パラメータ算出プログラムおよびパラメータ算出方法
JP2016057918A (ja) * 2014-09-10 2016-04-21 キヤノン株式会社 画像処理装置、画像処理方法及びプログラム
US10002313B2 (en) * 2015-12-15 2018-06-19 Sighthound, Inc. Deeply learned convolutional neural networks (CNNS) for object localization and classification
WO2017158058A1 (en) * 2016-03-15 2017-09-21 Imra Europe Sas Method for classification of unique/rare cases by reinforcement learning in neural networks
JP6832504B2 (ja) * 2016-08-08 2021-02-24 パナソニックＩｐマネジメント株式会社 物体追跡方法、物体追跡装置およびプログラム
US9947102B2 (en) * 2016-08-26 2018-04-17 Elekta, Inc. Image segmentation using neural network method
US20180075368A1 (en) * 2016-09-12 2018-03-15 International Business Machines Corporation System and Method of Advising Human Verification of Often-Confused Class Predictions
CN106446148B (zh) * 2016-09-21 2019-08-09 中国运载火箭技术研究院 一种基于聚类的文本查重方法
US10664722B1 (en) * 2016-10-05 2020-05-26 Digimarc Corporation Image processing arrangements
US10303979B2 (en) * 2016-11-16 2019-05-28 Phenomic Ai Inc. System and method for classifying and segmenting microscopy images with deep multiple instance learning
US10242443B2 (en) * 2016-11-23 2019-03-26 General Electric Company Deep learning medical systems and methods for medical procedures
US10181082B2 (en) * 2017-02-06 2019-01-15 Brown University Method and system for automated behavior classification of test subjects
EP3596449A4 (en) * 2017-03-14 2021-01-06 University of Manitoba DETECTION OF STRUCTURAL DEFECTS USING MACHINE LEARNING ALGORITHMS
JP6890720B2 (ja) * 2017-06-16 2021-06-18 マーカブル インコーポレイテッドＭａｒｋａｂｌｅ，Ｉｎｃ． 画像処理システム
JP7149692B2 (ja) * 2017-08-09 2022-10-07 キヤノン株式会社 画像処理装置、画像処理方法
US11010902B2 (en) * 2018-06-04 2021-05-18 University Of Central Florida Research Foundation, Inc. Capsules for image analysis
US11587555B1 (en) * 2018-09-26 2023-02-21 Verily Life Sciences Llc Recognizing hazard events based on sounds of in-home activities
US11055566B1 (en) * 2020-03-12 2021-07-06 Adobe Inc. Utilizing a large-scale object detector to automatically select objects in digital images

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010009518A (ja) 2008-06-30 2010-01-14 Canon Inc パターン検出器の学習装置、学習方法及びプログラム
JP2014049118A (ja) 2012-08-31 2014-03-17 Fujitsu Ltd 畳み込みニューラルネットワーク分類器システム、その訓練方法、分類方法および用途
WO2016189675A1 (ja) 2015-05-27 2016-12-01 株式会社日立製作所 ニューラルネットワークの学習装置及び学習方法
US20180247107A1 (en) 2015-09-30 2018-08-30 Siemens Healthcare Gmbh Method and system for classification of endoscopic images using deep decision networks
JP2019159959A (ja) 2018-03-14 2019-09-19 オムロン株式会社 検査システム、識別システム、及び学習データ生成装置

Also Published As

Publication number Publication date
US20210089823A1 (en) 2021-03-25
JP2021051589A (ja) 2021-04-01

Similar Documents

Publication Publication Date Title
JP7453767B2 (ja) 情報処理装置、情報処理方法
US11367271B2 (en) Similarity propagation for one-shot and few-shot image segmentation
Dewi et al. Yolo V4 for advanced traffic sign recognition with synthetic training data generated by various GAN
KR102225093B1 (ko) 카메라 포즈 추정 장치 및 방법
US11582485B1 (en) Scene-aware video encoder system and method
US9971942B2 (en) Object detection in crowded scenes using context-driven label propagation
JP6458394B2 (ja) 対象追跡方法及び対象追跡装置
Quattoni et al. Hidden-state conditional random fields
CN112434721A (zh) 一种基于小样本学习的图像分类方法、系统、存储介质及终端
US20180358001A1 (en) Method, Apparatus, and System for Conflict Detection and Resolution for Competing Intent Classifiers in Modular Conversation System
US20190156203A1 (en) Neural network training method and device
US20220237403A1 (en) Neural network based scene text recognition
KR20200075114A (ko) 이미지와 텍스트간 유사도 매칭 시스템 및 방법
JP2021051589A5 (enExample)
KR20210149530A (ko) 이미지 분류 모델 학습 방법 및 이를 수행하기 위한 장치
CN114511077A (zh) 使用基于伪元素的数据扩增来训练点云处理神经网络
CN114898266B (zh) 训练方法、图像处理方法、装置、电子设备以及存储介质
US20220300774A1 (en) Methods, apparatuses, devices and storage media for detecting correlated objects involved in image
CN112115996A (zh) 图像数据的处理方法、装置、设备及存储介质
CN116824609B (zh) 文档版式检测方法、装置和电子设备
CN118116001A (zh) 页面元素定位方法、装置、设备及介质
WO2024135112A1 (ja) 機械学習システム
US20230401718A1 (en) Object selection for images using image regions
CN118447340B (zh) 基于原型网络对图像类关系进行空间建模的方法和设备
US20250201008A1 (en) Image annotation processing

Legal Events

Date Code Title Description
RD01 Notification of change of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7421

Effective date: 20210103

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20210113

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220926

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20220926

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20230922

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230929

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20231110

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20240209

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20240308

R151 Written notification of patent or utility model registration

Ref document number: 7453767

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R151