DK3452959T3 - Modelkonstruktion i et neuralt netværk til objektdetektion - Google Patents
Modelkonstruktion i et neuralt netværk til objektdetektion Download PDFInfo
- Publication number
- DK3452959T3 DK3452959T3 DK17720668.7T DK17720668T DK3452959T3 DK 3452959 T3 DK3452959 T3 DK 3452959T3 DK 17720668 T DK17720668 T DK 17720668T DK 3452959 T3 DK3452959 T3 DK 3452959T3
- Authority
- DK
- Denmark
- Prior art keywords
- neural network
- object detection
- model construction
- construction
- model
- Prior art date
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Classifications
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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
-
- 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
-
- 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
-
- 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
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Image Analysis (AREA)
- Geophysics And Detection Of Objects (AREA)
- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DKPA201670284 | 2016-05-02 | ||
| PCT/DK2017/050121 WO2017190743A1 (en) | 2016-05-02 | 2017-04-25 | Model construction in a neural network for object detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| DK3452959T3 true DK3452959T3 (da) | 2023-04-03 |
Family
ID=60202795
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| DK17720668.7T DK3452959T3 (da) | 2016-05-02 | 2017-04-25 | Modelkonstruktion i et neuralt netværk til objektdetektion |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US20190156202A1 (da) |
| EP (1) | EP3452959B1 (da) |
| CN (1) | CN109313717A (da) |
| DK (1) | DK3452959T3 (da) |
| ES (1) | ES2942621T3 (da) |
| FI (1) | FI3452959T3 (da) |
| WO (1) | WO2017190743A1 (da) |
Families Citing this family (47)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10163043B2 (en) | 2017-03-31 | 2018-12-25 | Clarifai, Inc. | System and method for facilitating logo-recognition training of a recognition model |
| WO2019003485A1 (ja) * | 2017-06-30 | 2019-01-03 | 株式会社Ａｂｅｊａ | 機械学習又は推論のための計算機システム及び方法 |
| US11360233B2 (en) * | 2017-09-12 | 2022-06-14 | Schlumberger Technology Corporation | Seismic image data interpretation system |
| US10699165B2 (en) * | 2017-10-30 | 2020-06-30 | Palo Alto Research Center Incorporated | System and method using augmented reality for efficient collection of training data for machine learning |
| JPWO2019097784A1 (ja) * | 2017-11-16 | 2020-10-01 | ソニー株式会社 | 情報処理装置、情報処理方法、およびプログラム |
| US10410354B1 (en) | 2018-03-06 | 2019-09-10 | Mitsubishi Electric Research Laboratories, Inc. | Method and apparatus for multi-model primitive fitting based on deep geometric boundary and instance aware segmentation |
| US11100633B2 (en) * | 2018-06-13 | 2021-08-24 | Cosmo Artificial Intelligence—Al Limited | Systems and methods for processing real-time video from a medical image device and detecting objects in the video |
| US11179846B2 (en) * | 2018-07-24 | 2021-11-23 | Yan Yufik | Method and systems for enhancing collaboration between robots and human operators |
| US11907341B2 (en) | 2018-10-09 | 2024-02-20 | Skymatix, Inc. | Diagnostic assistance system and method therefor |
| US12393845B2 (en) | 2018-12-06 | 2025-08-19 | Western Digital Technologies, Inc. | Non-volatile memory die with deep learning neural network |
| US11133059B2 (en) | 2018-12-06 | 2021-09-28 | Western Digital Technologies, Inc. | Non-volatile memory die with deep learning neural network |
| US10332245B1 (en) * | 2018-12-11 | 2019-06-25 | Capital One Services, Llc | Systems and methods for quality assurance of image recognition model |
| 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 |
| US11443495B2 (en) | 2018-12-31 | 2022-09-13 | Palo Alto Research Center Incorporated | Alignment- and orientation-based task assistance in an AR environment |
| US20220099855A1 (en) * | 2019-01-13 | 2022-03-31 | Schlumberger Technology Corporation | Seismic image data interpretation system |
| US10810726B2 (en) | 2019-01-30 | 2020-10-20 | Walmart Apollo, Llc | Systems and methods for detecting content in images using neural network architectures |
| US10922584B2 (en) * | 2019-01-30 | 2021-02-16 | Walmart Apollo, Llc | Systems, methods, and techniques for training neural networks and utilizing the neural networks to detect non-compliant content |
| JP7390628B2 (ja) * | 2019-03-28 | 2023-12-04 | パナソニックＩｐマネジメント株式会社 | 識別情報付与装置、識別情報付与方法、及びプログラム |
| KR102720182B1 (ko) * | 2019-04-22 | 2024-10-22 | 한국전자통신연구원 | 어노테이션 오류 예측 장치 및 방법 |
| US11520521B2 (en) * | 2019-06-20 | 2022-12-06 | Western Digital Technologies, Inc. | Storage controller having data augmentation components for use with non-volatile memory die |
| US11501109B2 (en) | 2019-06-20 | 2022-11-15 | Western Digital Technologies, Inc. | Non-volatile memory die with on-chip data augmentation components for use with machine learning |
| US10997466B2 (en) | 2019-06-21 | 2021-05-04 | Straxciro Pty. Ltd. | Method and system for image segmentation and identification |
| JP2021018766A (ja) * | 2019-07-24 | 2021-02-15 | 日本放送協会 | 学習モデル更新支援装置及びプログラム |
| US11244450B2 (en) | 2019-08-19 | 2022-02-08 | The Penn State Research Foundation | Systems and methods utilizing artificial intelligence for placental assessment and examination |
| CN110826473A (zh) * | 2019-11-01 | 2020-02-21 | 广东电网有限责任公司 | 一种基于神经网络的绝缘子图像自动识别方法 |
| JP7353946B2 (ja) * | 2019-12-02 | 2023-10-02 | 株式会社日立ソリューションズ・クリエイト | アノテーション装置および方法 |
| US11758069B2 (en) | 2020-01-27 | 2023-09-12 | Walmart Apollo, Llc | Systems and methods for identifying non-compliant images using neural network architectures |
| EP3862926A1 (en) * | 2020-02-10 | 2021-08-11 | Robert Bosch GmbH | Method of identifying filters in a neural network, system and storage medium of the same |
| RU2730112C1 (ru) * | 2020-03-02 | 2020-08-17 | ООО "Ай Ти Ви групп" | Система и способ идентификации объектов в составном объекте |
| US12573029B2 (en) * | 2020-04-24 | 2026-03-10 | Nvidia Corporation | Image annotation using one or more neural networks |
| US11417097B2 (en) | 2020-09-02 | 2022-08-16 | Hewlett Packard Enterprise Development Lp | Video annotation system for deep learning based video analytics |
| US20220101114A1 (en) * | 2020-09-27 | 2022-03-31 | Kla Corporation | Interpretable deep learning-based defect detection and classification |
| TWI844747B (zh) * | 2020-11-09 | 2024-06-11 | 財團法人工業技術研究院 | 辨識系統及其圖資擴增與訓練方法 |
| JP7604268B2 (ja) * | 2021-02-26 | 2024-12-23 | キヤノン株式会社 | 画像処理装置、撮像装置、画像処理方法およびプログラム |
| US12236344B2 (en) | 2021-03-19 | 2025-02-25 | Xerox Corporation | System and method for performing collaborative learning of machine representations for a target concept |
| EP4068170A1 (en) | 2021-03-29 | 2022-10-05 | Nokia Technologies Oy | Apparatus, methods and computer programs for calibrating machine learning systems |
| US11615618B2 (en) | 2021-04-08 | 2023-03-28 | International Business Machines Corporation | Automatic image annotations |
| CN113076673B (zh) * | 2021-04-08 | 2024-05-03 | 江苏省送变电有限公司 | 基于神经网络的湿污复合绝缘子温升风险等级评估方法 |
| US11971955B1 (en) * | 2021-07-21 | 2024-04-30 | Amazon Technologies, Inc. | Example-based image annotation |
| CN113590286B (zh) * | 2021-07-28 | 2024-08-13 | 北京市商汤科技开发有限公司 | 任务处理系统和任务处理方法 |
| US11917289B2 (en) | 2022-06-14 | 2024-02-27 | Xerox Corporation | System and method for interactive feedback in data collection for machine learning in computer vision tasks using augmented reality |
| US12223595B2 (en) * | 2022-08-02 | 2025-02-11 | Xerox Corporation | Method and system for mixing static scene and live annotations for efficient labeled image dataset collection |
| US12367656B2 (en) | 2022-09-08 | 2025-07-22 | Xerox Corporation | Method and system for semi-supervised state transition detection for object tracking |
| US12488578B1 (en) | 2022-09-16 | 2025-12-02 | Nvidia Corporation | Neural network training technique |
| US12475649B2 (en) | 2023-01-19 | 2025-11-18 | Xerox Corporation | Method and system for facilitating generation of background replacement masks for improved labeled image dataset collection |
| US12586566B1 (en) * | 2023-03-31 | 2026-03-24 | Amazon Technologies, Inc. | Model drift detection techniques |
| CN117591901B (zh) * | 2024-01-17 | 2024-05-03 | 合肥中科类脑智能技术有限公司 | 绝缘子破损检测方法、装置、存储介质和电子设备 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6578017B1 (en) * | 1999-02-26 | 2003-06-10 | Information Decision Technologies, Llc | Method to aid object detection in images by incorporating contextual information |
| TW200842733A (en) * | 2007-04-17 | 2008-11-01 | Univ Nat Chiao Tung | Object image detection method |
| US9668699B2 (en) * | 2013-10-17 | 2017-06-06 | Siemens Healthcare Gmbh | Method and system for anatomical object detection using marginal space deep neural networks |
-
2017
- 2017-04-25 CN CN201780026774.3A patent/CN109313717A/zh active Pending
- 2017-04-25 US US16/097,400 patent/US20190156202A1/en not_active Abandoned
- 2017-04-25 WO PCT/DK2017/050121 patent/WO2017190743A1/en not_active Ceased
- 2017-04-25 FI FIEP17720668.7T patent/FI3452959T3/fi active
- 2017-04-25 EP EP17720668.7A patent/EP3452959B1/en active Active
- 2017-04-25 ES ES17720668T patent/ES2942621T3/es active Active
- 2017-04-25 DK DK17720668.7T patent/DK3452959T3/da active
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017190743A1 (en) | 2017-11-09 |
| EP3452959A1 (en) | 2019-03-13 |
| US20190156202A1 (en) | 2019-05-23 |
| EP3452959B1 (en) | 2023-01-25 |
| FI3452959T3 (fi) | 2023-04-26 |
| ES2942621T3 (es) | 2023-06-05 |
| CN109313717A (zh) | 2019-02-05 |
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