SG11201912665RA - Rare instance classifiers - Google Patents

Rare instance classifiers

Info

Publication number
SG11201912665RA
SG11201912665RA SG11201912665RA SG11201912665RA SG11201912665RA SG 11201912665R A SG11201912665R A SG 11201912665RA SG 11201912665R A SG11201912665R A SG 11201912665RA SG 11201912665R A SG11201912665R A SG 11201912665RA SG 11201912665R A SG11201912665R A SG 11201912665RA
Authority
SG
Singapore
Prior art keywords
rare instance
instance classifiers
classifiers
rare
instance
Prior art date
Application number
SG11201912665RA
Other languages
English (en)
Inventor
Wan-Yen Lo
Abhijit Ogale
Yang Gao
Original Assignee
Waymo Llc
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 by Waymo Llc filed Critical Waymo Llc
Publication of SG11201912665RA publication Critical patent/SG11201912665RA/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133Distances to prototypes
    • G06F18/24137Distances to cluster centroïds
    • G06F18/2414Smoothing the distance, e.g. radial basis function networks [RBFN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/582Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Electromagnetism (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)
SG11201912665RA 2017-06-22 2018-06-19 Rare instance classifiers SG11201912665RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/630,275 US10346724B2 (en) 2017-06-22 2017-06-22 Rare instance classifiers
PCT/US2018/038318 WO2018236895A1 (en) 2017-06-22 2018-06-19 CLASSIFACTORS OF RARE BODIES

Publications (1)

Publication Number Publication Date
SG11201912665RA true SG11201912665RA (en) 2020-01-30

Family

ID=62875320

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201912665RA SG11201912665RA (en) 2017-06-22 2018-06-19 Rare instance classifiers

Country Status (10)

Country Link
US (2) US10346724B2 (zh)
EP (1) EP3642762A1 (zh)
JP (1) JP7090105B2 (zh)
KR (1) KR102371317B1 (zh)
CN (1) CN110945534B (zh)
AU (1) AU2018288720B2 (zh)
CA (1) CA3068258C (zh)
IL (1) IL271568B2 (zh)
SG (1) SG11201912665RA (zh)
WO (1) WO2018236895A1 (zh)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10346724B2 (en) 2017-06-22 2019-07-09 Waymo Llc Rare instance classifiers
US10373027B1 (en) * 2019-01-30 2019-08-06 StradVision, Inc. Method for acquiring sample images for inspecting label among auto-labeled images to be used for learning of neural network and sample image acquiring device using the same
JP7162550B2 (ja) * 2019-02-15 2022-10-28 オムロン株式会社 モデル生成装置、予測装置、モデル生成方法、及びモデル生成プログラム
CN110188613A (zh) * 2019-04-28 2019-08-30 上海鹰瞳医疗科技有限公司 图像分类方法及设备
US11507090B2 (en) * 2019-06-19 2022-11-22 Uber Technologies, Inc. Systems and methods for vehicle motion control with interactive object annotation
JP7231511B2 (ja) * 2019-07-29 2023-03-01 株式会社日立製作所 管理装置、管理方法、および管理プログラム
EP3786845A1 (en) * 2019-08-29 2021-03-03 Robert Bosch GmbH Difficulty-adaptive training for machine learning modules
JP7383939B2 (ja) * 2019-09-03 2023-11-21 東ソー株式会社 学習装置、学習方法、細胞判別装置、細胞判別方法、細胞判別学習プログラムおよび細胞判別プログラム
US11557151B2 (en) * 2019-10-24 2023-01-17 Deere & Company Object identification on a mobile work machine
KR20210062477A (ko) * 2019-11-21 2021-05-31 삼성전자주식회사 전자 장치 및 그 제어 방법
CN111114541B (zh) * 2019-12-31 2021-08-20 华为技术有限公司 车辆控制方法、装置、控制器和智能车
US11475304B2 (en) 2020-05-12 2022-10-18 International Business Machines Corporation Variational gradient flow
US10885387B1 (en) * 2020-08-04 2021-01-05 SUPERB Al CO., LTD. Methods for training auto-labeling device and performing auto-labeling by using hybrid classification and devices using the same
US10902291B1 (en) * 2020-08-04 2021-01-26 Superb Ai Co., Ltd. Methods for training auto labeling device and performing auto labeling related to segmentation while performing automatic verification by using uncertainty scores and devices using the same
JP7508957B2 (ja) 2020-09-09 2024-07-02 トヨタ自動車株式会社 情報管理システムおよびこれに用いられる携帯端末、画像管理サーバ
EP4080239A1 (en) * 2021-04-20 2022-10-26 Robert Bosch GmbH Measuring the performance of radar, ultrasound or audio classifiers
CN113095445B (zh) * 2021-06-08 2021-10-19 中国铁塔股份有限公司湖北省分公司 一种目标识别方法及装置
US11698910B1 (en) * 2022-07-21 2023-07-11 Plusai, Inc. Methods and apparatus for natural language-based safety case discovery to train a machine learning model for a driving system

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0363775A (ja) * 1989-07-31 1991-03-19 Omron Corp ニューラルネットワークシステム
CN1926573A (zh) * 2004-01-30 2007-03-07 思代软件公司 用于将主动表观模型应用于图像分析的系统和方法
US8542928B2 (en) * 2005-09-26 2013-09-24 Canon Kabushiki Kaisha Information processing apparatus and control method therefor
EP2438575A4 (en) * 2009-06-01 2016-06-29 Hewlett Packard Development Co DETERMINATION OF DETECTION CERTAINTY IN A CASCADE CLASSIFIER
KR101307781B1 (ko) * 2011-12-30 2013-09-12 조성제 3차원 패턴 커널을 이용한 객체 검사 방법 및 시스템, 컴퓨터 판독 가능 기록매체 및 컴퓨터 장치
CN103716204B (zh) * 2013-12-20 2017-02-08 中国科学院信息工程研究所 一种基于维纳过程的异常入侵检测集成学习方法及装置
US20150324689A1 (en) * 2014-05-12 2015-11-12 Qualcomm Incorporated Customized classifier over common features
US9418319B2 (en) * 2014-11-21 2016-08-16 Adobe Systems Incorporated Object detection using cascaded convolutional neural networks
CN105938558B (zh) * 2015-03-06 2021-02-09 松下知识产权经营株式会社 学习方法
US9973593B2 (en) * 2015-06-30 2018-05-15 Amazon Technologies, Inc. Device gateway
US9805305B2 (en) 2015-08-07 2017-10-31 Yahoo Holdings, Inc. Boosted deep convolutional neural networks (CNNs)
KR102415503B1 (ko) 2015-08-21 2022-07-01 삼성전자주식회사 분류기 학습 방법 및 객체 검출 방법
US10332028B2 (en) * 2015-08-25 2019-06-25 Qualcomm Incorporated Method for improving performance of a trained machine learning model
WO2017158058A1 (en) * 2016-03-15 2017-09-21 Imra Europe Sas Method for classification of unique/rare cases by reinforcement learning in neural networks
US10664722B1 (en) * 2016-10-05 2020-05-26 Digimarc Corporation Image processing arrangements
US10185880B2 (en) * 2017-03-31 2019-01-22 Here Global B.V. Method and apparatus for augmenting a training data set
US10346724B2 (en) 2017-06-22 2019-07-09 Waymo Llc Rare instance classifiers

Also Published As

Publication number Publication date
US11093799B2 (en) 2021-08-17
US20180373963A1 (en) 2018-12-27
CA3068258C (en) 2022-11-08
AU2018288720B2 (en) 2021-02-25
IL271568B2 (en) 2024-03-01
AU2018288720A1 (en) 2020-01-23
JP7090105B2 (ja) 2022-06-23
WO2018236895A1 (en) 2018-12-27
EP3642762A1 (en) 2020-04-29
CN110945534B (zh) 2024-03-19
JP2020524854A (ja) 2020-08-20
CN110945534A (zh) 2020-03-31
US10346724B2 (en) 2019-07-09
KR20200022001A (ko) 2020-03-02
US20190318207A1 (en) 2019-10-17
CA3068258A1 (en) 2018-12-27
KR102371317B1 (ko) 2022-03-07
IL271568B1 (en) 2023-11-01
IL271568A (en) 2020-02-27

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