JPWO2020261362A1 - - Google Patents

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Publication number
JPWO2020261362A1
JPWO2020261362A1 JP2021528683A JP2021528683A JPWO2020261362A1 JP WO2020261362 A1 JPWO2020261362 A1 JP WO2020261362A1 JP 2021528683 A JP2021528683 A JP 2021528683A JP 2021528683 A JP2021528683 A JP 2021528683A JP WO2020261362 A1 JPWO2020261362 A1 JP WO2020261362A1
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JP
Japan
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JP2021528683A
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JP7331926B2 (ja
JPWO2020261362A5 (ja
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/25Determination of region of interest [ROI] or a volume of interest [VOI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/7715Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
JP2021528683A 2019-06-25 2019-06-25 学習装置、物体検出装置、学習方法、及び、プログラム Active JP7331926B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/025075 WO2020261362A1 (ja) 2019-06-25 2019-06-25 学習装置、物体検出装置、学習方法、及び、記録媒体

Publications (3)

Publication Number Publication Date
JPWO2020261362A1 true JPWO2020261362A1 (ja) 2020-12-30
JPWO2020261362A5 JPWO2020261362A5 (ja) 2022-03-08
JP7331926B2 JP7331926B2 (ja) 2023-08-23

Family

ID=74060818

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021528683A Active JP7331926B2 (ja) 2019-06-25 2019-06-25 学習装置、物体検出装置、学習方法、及び、プログラム

Country Status (3)

Country Link
US (1) US12046000B2 (ja)
JP (1) JP7331926B2 (ja)
WO (1) WO2020261362A1 (ja)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113312479B (zh) * 2021-05-13 2023-05-30 杭州中科睿鉴科技有限公司 跨领域虚假新闻检测方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109800768A (zh) * 2018-12-15 2019-05-24 中国人民解放军陆军工程大学 半监督gan的散列特征表示学习方法
US10325201B1 (en) * 2019-01-31 2019-06-18 StradVision, Inc. Method and device for generating deceivable composite image by using GAN including generating neural network and discriminating neural network to allow surveillance system to recognize surroundings and detect rare event more accurately

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018005520A (ja) 2016-06-30 2018-01-11 クラリオン株式会社 物体検出装置及び物体検出方法
JP6964234B2 (ja) 2016-11-09 2021-11-10 パナソニックIpマネジメント株式会社 情報処理方法、情報処理装置およびプログラム
JP6572269B2 (ja) * 2017-09-06 2019-09-04 株式会社東芝 学習装置、学習方法、およびプログラム
US10311335B1 (en) * 2018-09-05 2019-06-04 StradVision, Inc. Method and device for generating image data set to be used for learning CNN capable of detecting obstruction in autonomous driving circumstance, and testing method, and testing device using the same

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109800768A (zh) * 2018-12-15 2019-05-24 中国人民解放军陆军工程大学 半监督gan的散列特征表示学习方法
US10325201B1 (en) * 2019-01-31 2019-06-18 StradVision, Inc. Method and device for generating deceivable composite image by using GAN including generating neural network and discriminating neural network to allow surveillance system to recognize surroundings and detect rare event more accurately
JP2020126608A (ja) * 2019-01-31 2020-08-20 株式会社ストラドビジョンStradvision,Inc. 生成ニューラルネットワークと、判別ニューラルネットワークとを含む敵対的生成ネットワークを利用して、合成可否判断不可の合成イメージを生成する方法、及び装置

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
YAROSLAV GANIN, ET AL.: ""Domain-Adversarial Training of Neural Networks"", JOURNAL OF MACHINE LEARNING RESEARCH, vol. 17, JPN6023028208, 2016, pages 35, ISSN: 0005104846 *
YAROSLAV GANIN, ET AL.: ""Unsupervised Domain Adaptation by Backpropagation"", PROCEEDINGS OF THE 32ND INTERNATIONAL CONFERENCE ON MACHINE LEARNING, vol. PMLR 37:1180-1189, JPN6023028209, 2015, pages 10, ISSN: 0005104845 *
伊本 貴士, 「AIの教科書」, vol. 第1版, JPN6023001557, 10 June 2019 (2019-06-10), JP, pages 400 - 409, ISSN: 0004971643 *
宮本 圭一郎(外2名), 「PYTORCHニューラルネットワーク 実装ハンドブック」, vol. 第1版, JPN6023001559, 1 January 2019 (2019-01-01), JP, pages 182 - 204, ISSN: 0004971642 *

Also Published As

Publication number Publication date
US12046000B2 (en) 2024-07-23
JP7331926B2 (ja) 2023-08-23
US20220414918A1 (en) 2022-12-29
WO2020261362A1 (ja) 2020-12-30

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