JP7369325B1 - 学習システム、学習方法、及びプログラム - Google Patents

学習システム、学習方法、及びプログラム Download PDF

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JP7369325B1
JP7369325B1 JP2023513648A JP2023513648A JP7369325B1 JP 7369325 B1 JP7369325 B1 JP 7369325B1 JP 2023513648 A JP2023513648 A JP 2023513648A JP 2023513648 A JP2023513648 A JP 2023513648A JP 7369325 B1 JP7369325 B1 JP 7369325B1
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age
learning
training image
learning model
loss
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JPWO2023181271A5 (https=
JPWO2023181271A1 (https=
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永男 蔡
プリーサム プラキャッシャー
美廷 金
ポウロミ ラハ
ビヨン シュテンガー
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Rakuten Group Inc
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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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • 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
    • G06N3/08—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
    • G06V10/70—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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
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  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
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  • Molecular Biology (AREA)
  • Image Analysis (AREA)
JP2023513648A 2022-03-24 2022-03-24 学習システム、学習方法、及びプログラム Active JP7369325B1 (ja)

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PCT/JP2022/014019 WO2023181271A1 (ja) 2022-03-24 2022-03-24 学習システム、学習方法、及びプログラム

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JPWO2023181271A1 JPWO2023181271A1 (https=) 2023-09-28
JP7369325B1 true JP7369325B1 (ja) 2023-10-25
JPWO2023181271A5 JPWO2023181271A5 (https=) 2024-02-29

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Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2641447C1 (ru) * 2016-12-27 2018-01-17 Общество с ограниченной ответственностью "ВижнЛабс" Способ обучения глубоких нейронных сетей на основе распределений попарных мер схожести
KR20190140824A (ko) * 2018-05-31 2019-12-20 한국과학기술원 트리플릿 기반의 손실함수를 활용한 순서가 있는 분류문제를 위한 딥러닝 모델 학습 방법 및 장치
JP6829412B1 (ja) * 2019-11-11 2021-02-10 三菱電機株式会社 画像処理装置、画像処理システム、画像処理方法、及び画像処理プログラム

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
FADI BOUTROSA ET AL., SELF-RESTRAINED TRIPLET LOSS FOR ACCURATE MASKED FACE RECOGNITION, JPN6023018337, 13 December 2021 (2021-12-13), ISSN: 0005055111 *
Fadi Boutrosa et al.，Self-restrained Triplet Loss for Accurate Masked Face Recognition，arXiv [オンライン]，2021年12月13日，インターネット:<URL:https://arxiv.org/pdf/2103.01716v3.pdf>
GAO, B.-B., et al.，Age Estimation Using Expectation of Label Distribution Learning，Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence [online]，2018年07月13日，pp. 712-718，[retrieved on 2022-06-07], Retrieved from the Internet: <URL: https://www.ijcai.org/proceedings/2018/99>，<DOI: 10.24963/ijcai.2018/99>
GAO, B.-B., ET AL.: "Age Estimation Using Expectation of Label Distribution Learning", PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE [ONLINE], JPN6022023917, 13 July 2018 (2018-07-13), pages 712 - 718, XP093061479, ISSN: 0005055112 *
LIU, H., et al.，Label-Sensitive Deep Metric Learning for Facial Age Estimation，IEEE Transactions on Information Forensics and Security [online]，2017年08月29日，Vol. 13, No. 2，pp. 292-305，[retrieved on 2022-06-07], Retrieved from the Internet: <URL: https://ieeexplore.ieee.org/abstract/document/8017500>，<DOI: 10.1109/TIFS.2017.2746062>
LIU, H., ET AL.: "Label-Sensitive Deep Metric Learning for Facial Age Estimation", IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY [ONLINE], vol. 13, no. 2, JPN6022023916, 29 August 2017 (2017-08-29), pages 292 - 305, XP011673384, ISSN: 0005055110, DOI: 10.1109/TIFS.2017.2746062 *

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US20240371129A1 (en) 2024-11-07
WO2023181271A1 (ja) 2023-09-28

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