CN111178379B - 示教数据生成方法及生成装置、以及商品识别装置 - Google Patents
示教数据生成方法及生成装置、以及商品识别装置 Download PDFInfo
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- CN111178379B CN111178379B CN201911096334.2A CN201911096334A CN111178379B CN 111178379 B CN111178379 B CN 111178379B CN 201911096334 A CN201911096334 A CN 201911096334A CN 111178379 B CN111178379 B CN 111178379B
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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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
- G06V10/77—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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2155—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the incorporation of unlabelled data, e.g. multiple instance learning [MIL], semi-supervised techniques using expectation-maximisation [EM] or naïve labelling
-
- 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
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- 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]
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- 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
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- 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
- G06N3/084—Backpropagation, e.g. using gradient descent
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- 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
- G06N3/09—Supervised learning
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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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- 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
- G06V20/68—Food, e.g. fruit or vegetables
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- Theoretical Computer Science (AREA)
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- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
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- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
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- Software Systems (AREA)
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- Biomedical Technology (AREA)
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- Biophysics (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Multimedia (AREA)
- Databases & Information Systems (AREA)
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- Cash Registers Or Receiving Machines (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2018-212304 | 2018-11-12 | ||
| JP2018212304A JP7300699B2 (ja) | 2018-11-12 | 2018-11-12 | 教師データ生成方法、教師データ生成プログラム、教師データ生成装置、及び商品識別装置 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111178379A CN111178379A (zh) | 2020-05-19 |
| CN111178379B true CN111178379B (zh) | 2024-04-05 |
Family
ID=68840846
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911096334.2A Active CN111178379B (zh) | 2018-11-12 | 2019-11-11 | 示教数据生成方法及生成装置、以及商品识别装置 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20200151511A1 (https=) |
| EP (1) | EP3651067A1 (https=) |
| JP (1) | JP7300699B2 (https=) |
| CN (1) | CN111178379B (https=) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020121678A1 (ja) * | 2018-12-14 | 2020-06-18 | 富士フイルム株式会社 | ミニバッチ学習装置とその作動プログラム、作動方法、および画像処理装置 |
| CN111797896B (zh) * | 2020-06-01 | 2023-06-27 | 锐捷网络股份有限公司 | 基于智慧烘焙的商品识别方法及装置 |
| US11790650B2 (en) * | 2020-08-20 | 2023-10-17 | Adobe Inc. | Contrastive captioning for image groups |
| JP7643063B2 (ja) * | 2021-02-10 | 2025-03-11 | 日本電気株式会社 | データ生成装置、データ生成方法、及びプログラム |
| US20240153253A1 (en) * | 2021-03-29 | 2024-05-09 | Yamaha Hatsudoki Kabushiki Kaisha | Method and program for generating trained model for inspecting number of objects |
| KR102557870B1 (ko) * | 2021-04-30 | 2023-07-21 | 주식회사 서연이화 | 자동차 부품의 성능 검증 결과를 예측하는 인공지능 모델의 학습 데이터를 생성하는 방법 및 장치 |
| CN117396919A (zh) | 2021-05-19 | 2024-01-12 | 京瓷株式会社 | 信息处理方法、程序及信息处理装置 |
| JP7336503B2 (ja) * | 2021-12-27 | 2023-08-31 | Fsx株式会社 | サーバ及びおしぼり管理システム |
| CN114866162B (zh) * | 2022-07-11 | 2023-09-26 | 中国人民解放军国防科技大学 | 信号数据增强方法、系统及通信辐射源的识别方法和系统 |
| CN118414614A (zh) * | 2024-03-26 | 2024-07-30 | 深圳市锐明技术股份有限公司 | 基于大模型的驾驶风险识别方法、装置、设备及存储介质 |
| JP7738128B1 (ja) | 2024-05-17 | 2025-09-11 | ソフトバンク株式会社 | 生成装置、生成方法および生成プログラム |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679764A (zh) * | 2012-08-31 | 2014-03-26 | 西门子公司 | 一种图像生成方法及装置 |
| JP2017062623A (ja) * | 2015-09-24 | 2017-03-30 | 富士通株式会社 | 画像検出プログラム、画像検出方法、及び画像検出装置 |
| CN106781014A (zh) * | 2017-01-24 | 2017-05-31 | 广州市蚁道互联网有限公司 | 自动售货机及其运行方法 |
| CN107862775A (zh) * | 2017-11-29 | 2018-03-30 | 深圳易伙科技有限责任公司 | 一种基于人工智能的超市商品防盗预警系统及方法 |
| CN108269371A (zh) * | 2017-09-27 | 2018-07-10 | 缤果可为(北京)科技有限公司 | 商品自动结算方法、装置、自助收银台 |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5930393A (en) * | 1997-08-11 | 1999-07-27 | Lucent Technologies Inc. | Method and apparatus for enhancing degraded document images |
| US6707464B2 (en) * | 2001-01-31 | 2004-03-16 | Harris Corporation | System and method for identifying tie point collections used in imagery |
| JP5510924B2 (ja) | 2010-02-22 | 2014-06-04 | 株式会社ブレイン | パンの識別装置とそのプログラム |
| US9158995B2 (en) * | 2013-03-14 | 2015-10-13 | Xerox Corporation | Data driven localization using task-dependent representations |
| CN105593901B (zh) | 2013-06-28 | 2020-06-12 | 日本电气株式会社 | 训练数据生成设备、方法和程序以及人群状态识别设备、方法和程序 |
| JP6473056B2 (ja) | 2015-07-16 | 2019-02-20 | 株式会社ブレイン | 店舗システムとそのプログラム |
| US9767381B2 (en) * | 2015-09-22 | 2017-09-19 | Xerox Corporation | Similarity-based detection of prominent objects using deep CNN pooling layers as features |
| US11238362B2 (en) * | 2016-01-15 | 2022-02-01 | Adobe Inc. | Modeling semantic concepts in an embedding space as distributions |
| US10311312B2 (en) * | 2017-08-31 | 2019-06-04 | TuSimple | System and method for vehicle occlusion detection |
| US10817509B2 (en) * | 2017-03-16 | 2020-10-27 | Massachusetts Institute Of Technology | System and method for semantic mapping of natural language input to database entries via convolutional neural networks |
| US10489688B2 (en) * | 2017-07-24 | 2019-11-26 | Adobe Inc. | Personalized digital image aesthetics in a digital medium environment |
| US10817711B2 (en) * | 2018-06-20 | 2020-10-27 | International Business Machines Corporation | Determining a need for a workspace graphical notation to increase user engagement |
-
2018
- 2018-11-12 JP JP2018212304A patent/JP7300699B2/ja active Active
-
2019
- 2019-11-08 US US16/678,768 patent/US20200151511A1/en not_active Abandoned
- 2019-11-11 CN CN201911096334.2A patent/CN111178379B/zh active Active
- 2019-11-11 EP EP19208349.1A patent/EP3651067A1/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679764A (zh) * | 2012-08-31 | 2014-03-26 | 西门子公司 | 一种图像生成方法及装置 |
| JP2017062623A (ja) * | 2015-09-24 | 2017-03-30 | 富士通株式会社 | 画像検出プログラム、画像検出方法、及び画像検出装置 |
| CN106781014A (zh) * | 2017-01-24 | 2017-05-31 | 广州市蚁道互联网有限公司 | 自动售货机及其运行方法 |
| CN108269371A (zh) * | 2017-09-27 | 2018-07-10 | 缤果可为(北京)科技有限公司 | 商品自动结算方法、装置、自助收银台 |
| CN107862775A (zh) * | 2017-11-29 | 2018-03-30 | 深圳易伙科技有限责任公司 | 一种基于人工智能的超市商品防盗预警系统及方法 |
Non-Patent Citations (2)
| Title |
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| Patrick Follmann 等.MVTec D2S:Densely Segmented Supermarket Dataset.arXiv.org.2018,第1、3-5、10-12页. * |
| 商品图像检测方法的研究;王智慧;中国优秀硕士学位论文全文数据库信息科技辑;20181015(10);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US20200151511A1 (en) | 2020-05-14 |
| EP3651067A1 (en) | 2020-05-13 |
| JP7300699B2 (ja) | 2023-06-30 |
| CN111178379A (zh) | 2020-05-19 |
| JP2020080003A (ja) | 2020-05-28 |
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