JPWO2021152801A1 - - Google Patents

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Publication number
JPWO2021152801A1
JPWO2021152801A1 JP2021574388A JP2021574388A JPWO2021152801A1 JP WO2021152801 A1 JPWO2021152801 A1 JP WO2021152801A1 JP 2021574388 A JP2021574388 A JP 2021574388A JP 2021574388 A JP2021574388 A JP 2021574388A JP WO2021152801 A1 JPWO2021152801 A1 JP WO2021152801A1
Authority
JP
Japan
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.)
Pending
Application number
JP2021574388A
Other versions
JPWO2021152801A5 (ja
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.)
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Publication date
Application filed filed Critical
Publication of JPWO2021152801A1 publication Critical patent/JPWO2021152801A1/ja
Publication of JPWO2021152801A5 publication Critical patent/JPWO2021152801A5/ja
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07—Target detection

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Image Analysis (AREA)
JP2021574388A 2020-01-30 学習装置、学習方法、及び、プログラム Pending JPWO2021152801A5 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/003554 WO2021152801A1 (ja) 2020-01-30 2020-01-30 学習装置、学習方法、及び、記録媒体

Publications (2)

Publication Number Publication Date
JPWO2021152801A1 true JPWO2021152801A1 (ja) 2021-08-05
JPWO2021152801A5 JPWO2021152801A5 (ja) 2022-09-08

Family

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017162025A (ja) * 2016-03-07 2017-09-14 株式会社東芝 分類ラベル付与装置、分類ラベル付与方法、およびプログラム
JP2018200531A (ja) * 2017-05-26 2018-12-20 富士通株式会社 教師データ生成装置、教師データ生成方法、教師データ生成プログラム、及び物体検出システム
JP2019032773A (ja) * 2017-08-09 2019-02-28 キヤノン株式会社 画像処理装置、画像処理方法
JP2019159787A (ja) * 2018-03-13 2019-09-19 コニカミノルタ株式会社 人物検出方法および人物検出プログラム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017162025A (ja) * 2016-03-07 2017-09-14 株式会社東芝 分類ラベル付与装置、分類ラベル付与方法、およびプログラム
JP2018200531A (ja) * 2017-05-26 2018-12-20 富士通株式会社 教師データ生成装置、教師データ生成方法、教師データ生成プログラム、及び物体検出システム
JP2019032773A (ja) * 2017-08-09 2019-02-28 キヤノン株式会社 画像処理装置、画像処理方法
JP2019159787A (ja) * 2018-03-13 2019-09-19 コニカミノルタ株式会社 人物検出方法および人物検出プログラム

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
WONHEE LEE ET AL.: ""Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations"", 2019 IEEE/CVF CONFERENCE ON COMPUTER VISIONAND PATTERN RECOGNITION (CVPR), JPN6023018624, 15 June 2019 (2019-06-15), US, pages 4979 - 4988, ISSN: 0005119682 *
YIHUI HE ET AL.: ""Bounding Box Regression With Uncertainty for Accurate Object Detection"", 2019 IEEE/CVF CONFERENCE ON COMPUTER VISIONAND PATTERN RECOGNITION (CVPR), JPN6023018626, 15 June 2019 (2019-06-15), US, pages 2883 - 2892, ISSN: 0005059401 *
岡谷 貴之: ""画像認識のための深層学習の研究動向 −畳込みニューラルネットワークとその利用法の発展−"", 人工知能, vol. 31, no. 2, JPN6023018623, 1 March 2016 (2016-03-01), JP, pages 169 - 179, ISSN: 0005059399 *
渥美 雅保: ""前景・後景コンテキストからのラベル付き物体カテゴリ木学習に基づく共起物体認識"", ２０１２年度人工知能学会全国大会（第２６回）論文集, JPN6020013557, 12 June 2012 (2012-06-12), JP, pages 1 - 4, ISSN: 0005059402 *

Also Published As

Publication number Publication date
US20230052101A1 (en) 2023-02-16
WO2021152801A1 (ja) 2021-08-05

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