JPWO2022239689A1 - - Google Patents

Info

Publication number
JPWO2022239689A1
JPWO2022239689A1 JP2023520984A JP2023520984A JPWO2022239689A1 JP WO2022239689 A1 JPWO2022239689 A1 JP WO2022239689A1 JP 2023520984 A JP2023520984 A JP 2023520984A JP 2023520984 A JP2023520984 A JP 2023520984A JP WO2022239689 A1 JPWO2022239689 A1 JP WO2022239689A1
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
JP2023520984A
Other languages
Japanese (ja)
Other versions
JPWO2022239689A5 (https=
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 filed Critical
Publication of JPWO2022239689A1 publication Critical patent/JPWO2022239689A1/ja
Publication of JPWO2022239689A5 publication Critical patent/JPWO2022239689A5/ja
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • 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
    • G06V10/56—Extraction of image or video features relating to colour
    • 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
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional [3D] objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
JP2023520984A 2021-05-13 2022-05-02 Pending JPWO2022239689A1 (https=)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163188013P 2021-05-13 2021-05-13
PCT/JP2022/019477 WO2022239689A1 (ja) 2021-05-13 2022-05-02 学習方法、学習装置、及び、プログラム

Publications (2)

Publication Number Publication Date
JPWO2022239689A1 true JPWO2022239689A1 (https=) 2022-11-17
JPWO2022239689A5 JPWO2022239689A5 (https=) 2024-02-16

Family

ID=84028304

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023520984A Pending JPWO2022239689A1 (https=) 2021-05-13 2022-05-02

Country Status (4)

Country Link
US (1) US20240054325A1 (https=)
EP (1) EP4339886B1 (https=)
JP (1) JPWO2022239689A1 (https=)
WO (1) WO2022239689A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12444166B2 (en) * 2022-05-27 2025-10-14 Raytheon Company Object classification based on spatially discriminated parts
WO2025192499A1 (ja) * 2024-03-14 2025-09-18 富士フイルム株式会社 モデルの学習方法及びプログラム、モデルの学習装置

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019125116A (ja) * 2018-01-15 2019-07-25 キヤノン株式会社 情報処理装置、情報処理方法、およびプログラム
JP2020154605A (ja) * 2019-03-19 2020-09-24 富士ゼロックス株式会社 画像処理装置及びプログラム

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11210802B2 (en) * 2019-09-24 2021-12-28 Toyota Research Institute, Inc. Systems and methods for conditioning training data to avoid learned aberrations

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019125116A (ja) * 2018-01-15 2019-07-25 キヤノン株式会社 情報処理装置、情報処理方法、およびプログラム
JP2020154605A (ja) * 2019-03-19 2020-09-24 富士ゼロックス株式会社 画像処理装置及びプログラム

Also Published As

Publication number Publication date
WO2022239689A1 (ja) 2022-11-17
EP4339886A1 (en) 2024-03-20
EP4339886B1 (en) 2025-12-17
EP4339886A4 (en) 2024-11-13
US20240054325A1 (en) 2024-02-15

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