AR115522A1 - Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas - Google Patents

Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas

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AR115522A1
AR115522A1 ARP190101604A ARP190101604A AR115522A1 AR 115522 A1 AR115522 A1 AR 115522A1 AR P190101604 A ARP190101604 A AR P190101604A AR P190101604 A ARP190101604 A AR P190101604A AR 115522 A1 AR115522 A1 AR 115522A1
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Argentina
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antagonic
generative
train
antagonistic
interest
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ARP190101604A
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English (en)
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Cosmo Artificial Intelligence Ai Ltd
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Publication of AR115522A1 publication Critical patent/AR115522A1/es

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Abstract

La presente se refiere a sistemas y métodos implementados por computadora para el entrenamiento y uso de redes generativas antagónicas. En una implementación, un sistema para entrenar una red generativa antagónica puede incluir al menos un procesador que puede proveer una pluralidad de imágenes que incluyen representaciones de una característica de interés e indicadores de ubicación de la característica de interés y el uso de la primera pluralidad de indicadores para entrenar una red de detección de objetos. Además, el o los procesadores pueden proveer una segunda pluralidad de imágenes que incluye representaciones de la característica de interés, y aplicar la red de detección de objetos entrenada a la segunda pluralidad para producir una pluralidad de detecciones de la característica de interés. Adicionalmente, el o los procesadores pueden proveer verificaciones establecidas manualmente de verdaderos positivos y falsos positivos con respecto a la pluralidad de detecciones, usar las verificaciones para entrenar una red generativa antagónica, y volver a entrenar la red generativa antagónica usando por lo menos un conjunto adicional de imágenes, detecciones adicionales y otras verificaciones establecidas manualmente
ARP190101604A 2018-06-13 2019-06-11 Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas AR115522A1 (es)

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US16/008,006 US10810460B2 (en) 2018-06-13 2018-06-13 Systems and methods for training generative adversarial networks and use of trained generative adversarial networks

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ARP230100352A AR128530A2 (es) 2018-06-13 2023-02-15 Sistemas y métodos para entrenar redes generativas antagónicas y uso de redes generativas antagónicas entrenadas

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US (3) US10810460B2 (es)
EP (2) EP3582143A1 (es)
JP (2) JP7455821B2 (es)
KR (1) KR20210032951A (es)
CN (1) CN112543941A (es)
AR (2) AR115522A1 (es)
AU (1) AU2019286544A1 (es)
BR (1) BR112020025390A8 (es)
CA (1) CA3103316A1 (es)
IL (1) IL279416A (es)
MX (1) MX2020013412A (es)
SG (1) SG11202012374WA (es)
TW (1) TWI793337B (es)
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ZA (1) ZA202007745B (es)

Families Citing this family (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018198327A1 (ja) * 2017-04-28 2018-11-01 オリンパス株式会社 内視鏡診断支援システム、内視鏡診断支援プログラム及び内視鏡診断支援方法
US10810460B2 (en) 2018-06-13 2020-10-20 Cosmo Artificial Intelligence—AI Limited Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
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
US10929708B2 (en) 2018-12-10 2021-02-23 International Business Machines Corporation Deep learning network for salient region identification in images
EP3671660A1 (en) * 2018-12-20 2020-06-24 Dassault Systèmes Designing a 3d modeled object via user-interaction
US11244202B2 (en) * 2019-03-22 2022-02-08 Royal Bank Of Canada System and method for generation of unseen composite data objects
US11216917B2 (en) 2019-05-03 2022-01-04 Amazon Technologies, Inc. Video enhancement using a neural network
US11017506B2 (en) * 2019-05-03 2021-05-25 Amazon Technologies, Inc. Video enhancement using a generator with filters of generative adversarial network
US11210769B2 (en) 2019-05-03 2021-12-28 Amazon Technologies, Inc. Video enhancement using a recurrent image date of a neural network
US11037025B2 (en) * 2019-05-30 2021-06-15 Baidu Usa Llc Systems and methods for adversarially robust object detection
US10671934B1 (en) * 2019-07-16 2020-06-02 DOCBOT, Inc. Real-time deployment of machine learning systems
US11080889B2 (en) * 2019-09-24 2021-08-03 Shanghai United Imaging Intelligence Co., Ltd. Methods and systems for providing guidance for adjusting an object based on similarity
US11922656B2 (en) * 2019-11-25 2024-03-05 Accuray Incorporated Partial deformation maps for reconstructing motion-affected treatment dose using machine learning
US11551652B1 (en) 2019-11-27 2023-01-10 Amazon Technologies, Inc. Hands-on artificial intelligence education service
CN111000633B (zh) * 2019-12-20 2020-11-03 山东大学齐鲁医院 一种内镜诊疗操作过程的监控方法及系统
US11620745B2 (en) * 2020-01-17 2023-04-04 Ping An Technology (Shenzhen) Co., Ltd. Method and system for harvesting lesion annotations
EP4100875A1 (en) * 2020-02-03 2022-12-14 Cosmo Artificial Intelligence - AI Limited Systems and methods for contextual image analysis
CN113313133A (zh) * 2020-02-25 2021-08-27 武汉Tcl集团工业研究院有限公司 一种生成对抗网络的训练方法、动画图像生成方法
US11200462B2 (en) * 2020-03-04 2021-12-14 Matroid, Inc. Detecting content in a real-time video stream recorded by a detection unit
US20210279841A1 (en) * 2020-03-09 2021-09-09 Nvidia Corporation Techniques to use a neural network to expand an image
KR102476334B1 (ko) * 2020-04-22 2022-12-09 인하대학교 산학협력단 딥러닝 기반 일기 생성 방법 및 장치
US11113525B1 (en) 2020-05-18 2021-09-07 X Development Llc Using empirical evidence to generate synthetic training data for plant detection
CN113743398B (zh) * 2020-05-29 2023-11-17 富泰华工业(深圳)有限公司 图像标识方法、装置、计算机装置及存储介质
US11640711B2 (en) * 2020-06-05 2023-05-02 Advanced Micro Devices, Inc. Automated artifact detection
US11398028B2 (en) * 2020-06-08 2022-07-26 X Development Llc Generating and using synthetic training data for plant disease detection
CN111881956B (zh) * 2020-07-15 2023-05-12 北京市商汤科技开发有限公司 网络训练方法及装置、目标检测方法及装置和电子设备
US11961225B2 (en) 2020-07-21 2024-04-16 Iterative Scopes, Inc. Systems and methods for detecting potential malignancies
US11604947B2 (en) * 2020-08-26 2023-03-14 X Development Llc Generating quasi-realistic synthetic training data for use with machine learning models
US11670072B2 (en) 2020-10-02 2023-06-06 Servicenow Canada Inc. Systems and computer-implemented methods for identifying anomalies in an object and training methods therefor
US11100373B1 (en) 2020-11-02 2021-08-24 DOCBOT, Inc. Autonomous and continuously self-improving learning system
CN112308038B (zh) * 2020-11-25 2022-09-27 哈尔滨工业大学 基于课堂式生成对抗网络模型的机械设备故障信号识别方法
US11763135B2 (en) * 2021-03-01 2023-09-19 Robert Bosch Gmbh Concept-based adversarial generation method with steerable and diverse semantics
US20220319158A1 (en) * 2021-04-05 2022-10-06 Nec Laboratories America, Inc. Cell nuclei classification with artifact area avoidance
KR102513394B1 (ko) * 2021-05-10 2023-03-23 주식회사 씨앤에이아이 Gan을 이용한 합성 내시경 이미지 생성 장치 및 방법
WO2022245450A1 (en) 2021-05-17 2022-11-24 Stryker Corporation Medical imaging
CN113329000B (zh) * 2021-05-17 2023-01-10 山东大学 一种基于智能家居环境下的隐私保护和安全监测一体化系统
WO2022245191A1 (en) * 2021-05-21 2022-11-24 Endoai Co., Ltd. Method and apparatus for learning image for detecting lesions
KR20220157833A (ko) 2021-05-21 2022-11-29 (주)엔도아이 병변 검출을 위한 영상 학습 장치 및 방법
TWI795787B (zh) * 2021-05-24 2023-03-11 鴻海精密工業股份有限公司 自編碼器的訓練方法、細胞數量檢測方法及相關設備
US12001512B2 (en) 2021-05-25 2024-06-04 Mineral Earth Sciences Llc Generating labeled synthetic training data
KR20220161672A (ko) * 2021-05-31 2022-12-07 자이메드 주식회사 설명 가능한 생체 이미지 판독 지원 장치 및 방법
EP4109463A1 (en) * 2021-06-24 2022-12-28 Siemens Healthcare GmbH Providing a second result dataset
CN113283849B (zh) * 2021-07-26 2021-11-02 山东建筑大学 基于视频上下文联系的物流异常智能检测方法
CN113658174B (zh) * 2021-09-02 2023-09-19 北京航空航天大学 基于深度学习和图像处理算法的微核组学图像检测方法
KR102477632B1 (ko) * 2021-11-12 2022-12-13 프로메디우스 주식회사 적대적 생성 신경망을 이용한 영상 학습 장치 및 방법

Family Cites Families (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7680307B2 (en) * 2005-04-05 2010-03-16 Scimed Life Systems, Inc. Systems and methods for image segmentation with a multi-stage classifier
DE602007007340D1 (de) 2006-08-21 2010-08-05 Sti Medical Systems Llc Computergestützte analyse mit hilfe von videodaten aus endoskopen
EP2068281A1 (en) * 2007-11-28 2009-06-10 Dublin City University A method for detecting flat polyps in the colon
US10013638B2 (en) * 2008-08-14 2018-07-03 Ping Zhang Cancer diagnostic method and system
US8868985B2 (en) * 2009-09-17 2014-10-21 Siemens Aktiengesellschaft Supervised fault learning using rule-generated samples for machine condition monitoring
US20110301447A1 (en) 2010-06-07 2011-12-08 Sti Medical Systems, Llc Versatile video interpretation, visualization, and management system
US20150374210A1 (en) * 2013-03-13 2015-12-31 Massachusetts Institute Of Technology Photometric stereo endoscopy
US9700219B2 (en) * 2013-10-17 2017-07-11 Siemens Healthcare Gmbh Method and system for machine learning based assessment of fractional flow reserve
KR20150049585A (ko) 2013-10-30 2015-05-08 삼성전자주식회사 용종 검출 장치 및 그 동작방법
EP3186753B1 (en) 2014-08-29 2021-04-28 Google LLC Processing images using deep neural networks
US9700213B2 (en) 2014-09-12 2017-07-11 Mayo Foundation For Medical Education And Research System and method for automatic polyp detection using global geometric constraints and local intensity variation patterns
US10360673B2 (en) * 2015-03-26 2019-07-23 Eyekor, Llc Image analysis
WO2016161115A1 (en) 2015-03-31 2016-10-06 Mayo Foundation For Medical Education And Research System and methods for automatic polyp detection using convolutional neural networks
US10510144B2 (en) 2015-09-10 2019-12-17 Magentiq Eye Ltd. System and method for detection of suspicious tissue regions in an endoscopic procedure
US9959468B2 (en) 2015-11-06 2018-05-01 The Boeing Company Systems and methods for object tracking and classification
US10007867B2 (en) 2016-04-04 2018-06-26 Google Llc Systems and methods for identifying entities directly from imagery
EP4068165A1 (en) 2016-04-13 2022-10-05 Google LLC Wide and deep machine learning models
US10395356B2 (en) * 2016-05-25 2019-08-27 Kla-Tencor Corp. Generating simulated images from input images for semiconductor applications
US10346740B2 (en) * 2016-06-01 2019-07-09 Kla-Tencor Corp. Systems and methods incorporating a neural network and a forward physical model for semiconductor applications
US10380429B2 (en) 2016-07-11 2019-08-13 Google Llc Methods and systems for person detection in a video feed
WO2018053340A1 (en) * 2016-09-15 2018-03-22 Twitter, Inc. Super resolution using a generative adversarial network
JP2018063504A (ja) * 2016-10-12 2018-04-19 株式会社リコー 生成モデル学習方法、装置及びプログラム
US10074038B2 (en) * 2016-11-23 2018-09-11 General Electric Company Deep learning medical systems and methods for image reconstruction and quality evaluation
WO2018105063A1 (ja) 2016-12-07 2018-06-14 オリンパス株式会社 画像処理装置
EP3590415A4 (en) * 2017-03-03 2020-03-18 Fujifilm Corporation ENDOSCOPE SYSTEM, PROCESSOR DEVICE, AND OPERATION METHOD OF THE ENDOSCOPE SYSTEM
EP3603483A4 (en) 2017-03-30 2020-04-22 FUJIFILM Corporation ENDOSCOPIC SYSTEM AND METHOD FOR THE OPERATION THEREOF
CN110663251B (zh) 2017-06-02 2021-12-31 富士胶片株式会社 医疗图像处理装置
US11055843B2 (en) * 2017-06-14 2021-07-06 Electronics And Telecommunications Research Institute Capsule endoscope for determining lesion area and receiving device
CN107256552B (zh) 2017-06-14 2020-08-18 成都微识医疗设备有限公司 息肉图像识别系统及方法
CN107451994A (zh) 2017-07-25 2017-12-08 宸盛科华(北京)科技有限公司 基于生成对抗网络的物体检测方法及装置
CN107451619A (zh) 2017-08-11 2017-12-08 深圳市唯特视科技有限公司 一种基于感知生成对抗网络的小目标检测方法
EP3718119A1 (en) * 2017-11-27 2020-10-07 Deciphex Automated screening of histopathology tissue samples via analysis of a normal model
US10540578B2 (en) * 2017-12-21 2020-01-21 International Business Machines Corporation Adapting a generative adversarial network to new data sources for image classification
US11011275B2 (en) 2018-02-12 2021-05-18 Ai.Skopy, Inc. System and method for diagnosing gastrointestinal neoplasm
US10841514B2 (en) 2018-03-20 2020-11-17 Endovigilant Inc Endoscopy video feature enhancement platform
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
US10810460B2 (en) * 2018-06-13 2020-10-20 Cosmo Artificial Intelligence—AI Limited Systems and methods for training generative adversarial networks and use of trained generative adversarial networks

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