JPWO2020217425A1 - - Google Patents
Info
- Publication number
- JPWO2020217425A1 JPWO2020217425A1 JP2021515437A JP2021515437A JPWO2020217425A1 JP WO2020217425 A1 JPWO2020217425 A1 JP WO2020217425A1 JP 2021515437 A JP2021515437 A JP 2021515437A JP 2021515437 A JP2021515437 A JP 2021515437A JP WO2020217425 A1 JPWO2020217425 A1 JP WO2020217425A1
- 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.)
- Granted
Links
Classifications
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- 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
- G06V10/7747—Organisation of the process, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- 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
- 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
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- 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
- 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
- G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
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- 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
- G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
- G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
- G06V20/47—Detecting features for summarising video content
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Medical Informatics (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2019/017766 WO2020217425A1 (ja) | 2019-04-25 | 2019-04-25 | 教師データ生成装置 |
Publications (2)
Publication Number | Publication Date |
---|---|
JPWO2020217425A1 true JPWO2020217425A1 (ja) | 2020-10-29 |
JP7211495B2 JP7211495B2 (ja) | 2023-01-24 |
Family
ID=72941674
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2021515437A Active JP7211495B2 (ja) | 2019-04-25 | 2019-04-25 | 教師データ生成装置 |
Country Status (3)
Country | Link |
---|---|
US (1) | US11954901B2 (ja) |
JP (1) | JP7211495B2 (ja) |
WO (1) | WO2020217425A1 (ja) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010033532A (ja) * | 2008-06-26 | 2010-02-12 | Sony Corp | 電子機器、動きベクトル検出方法及びそのプログラム |
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 |
JP2019061579A (ja) * | 2017-09-27 | 2019-04-18 | 富士フイルム株式会社 | 学習支援装置、学習支援装置の作動方法、学習支援プログラム、学習支援システム、および端末装置 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6357787B2 (ja) | 2014-02-07 | 2018-07-18 | 日本電気株式会社 | データ処理装置 |
US10928831B2 (en) * | 2018-12-05 | 2021-02-23 | Here Global B.V. | Method and apparatus for de-biasing the detection and labeling of objects of interest in an environment |
JP7238905B2 (ja) * | 2019-01-25 | 2023-03-14 | 日本電気株式会社 | 認識器訓練装置、認識装置、データ処理システム、データ処理方法、およびプログラム |
-
2019
- 2019-04-25 US US17/602,403 patent/US11954901B2/en active Active
- 2019-04-25 WO PCT/JP2019/017766 patent/WO2020217425A1/ja active Application Filing
- 2019-04-25 JP JP2021515437A patent/JP7211495B2/ja active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010033532A (ja) * | 2008-06-26 | 2010-02-12 | Sony Corp | 電子機器、動きベクトル検出方法及びそのプログラム |
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 |
JP2019061579A (ja) * | 2017-09-27 | 2019-04-18 | 富士フイルム株式会社 | 学習支援装置、学習支援装置の作動方法、学習支援プログラム、学習支援システム、および端末装置 |
Also Published As
Publication number | Publication date |
---|---|
WO2020217425A1 (ja) | 2020-10-29 |
US20220215653A1 (en) | 2022-07-07 |
JP7211495B2 (ja) | 2023-01-24 |
US11954901B2 (en) | 2024-04-09 |
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