SG11202012295UA - Method, device, and apparatus for object detection, and computer readable storage medium - Google Patents

Method, device, and apparatus for object detection, and computer readable storage medium

Info

Publication number
SG11202012295UA
SG11202012295UA SG11202012295UA SG11202012295UA SG11202012295UA SG 11202012295U A SG11202012295U A SG 11202012295UA SG 11202012295U A SG11202012295U A SG 11202012295UA SG 11202012295U A SG11202012295U A SG 11202012295UA SG 11202012295U A SG11202012295U A SG 11202012295UA
Authority
SG
Singapore
Prior art keywords
storage medium
computer readable
readable storage
object detection
detection
Prior art date
Application number
SG11202012295UA
Inventor
Kun Wang
Jiabin Ma
Zheqi He
Hezhang Wang
Xingyu Zeng
Original Assignee
Sensetime Group Ltd
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 Sensetime Group Ltd filed Critical Sensetime Group Ltd
Publication of SG11202012295UA publication Critical patent/SG11202012295UA/en

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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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19147—Obtaining 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
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/1916—Validation; Performance evaluation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19167—Active pattern learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/192—Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
    • G06V30/194—References adjustable by an adaptive method, e.g. learning
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
SG11202012295UA 2019-05-27 2019-11-27 Method, device, and apparatus for object detection, and computer readable storage medium SG11202012295UA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910449107.7A CN112001211B (en) 2019-05-27 2019-05-27 Object detection method, device, equipment and computer readable storage medium
PCT/CN2019/121300 WO2020238101A1 (en) 2019-05-27 2019-11-27 Object detection method, apparatus, device and computer-readable storage medium

Publications (1)

Publication Number Publication Date
SG11202012295UA true SG11202012295UA (en) 2021-01-28

Family

ID=73461428

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202012295UA SG11202012295UA (en) 2019-05-27 2019-11-27 Method, device, and apparatus for object detection, and computer readable storage medium

Country Status (6)

Country Link
US (1) US20210117725A1 (en)
JP (1) JP7101267B2 (en)
KR (1) KR102455745B1 (en)
CN (1) CN112001211B (en)
SG (1) SG11202012295UA (en)
WO (1) WO2020238101A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20210067442A (en) * 2019-11-29 2021-06-08 엘지전자 주식회사 Automatic labeling apparatus and method for object recognition

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012243180A (en) 2011-05-23 2012-12-10 Sony Corp Learning device, method and program
US9594983B2 (en) * 2013-08-02 2017-03-14 Digimarc Corporation Learning systems and methods
CN106096538B (en) * 2016-06-08 2019-08-23 中国科学院自动化研究所 Face identification method and device based on sequencing neural network model
US10115040B2 (en) 2016-09-14 2018-10-30 Kla-Tencor Corporation Convolutional neural network-based mode selection and defect classification for image fusion
CN108229267B (en) * 2016-12-29 2020-10-16 北京市商汤科技开发有限公司 Object attribute detection, neural network training and region detection method and device
CN108229455B (en) * 2017-02-23 2020-10-16 北京市商汤科技开发有限公司 Object detection method, neural network training method and device and electronic equipment
US10318889B2 (en) * 2017-06-26 2019-06-11 Konica Minolta Laboratory U.S.A., Inc. Targeted data augmentation using neural style transfer
US10839291B2 (en) 2017-07-01 2020-11-17 Intel Corporation Hardened deep neural networks through training from adversarial misclassified data
CN108171256A (en) * 2017-11-27 2018-06-15 深圳市深网视界科技有限公司 Facial image matter comments model construction, screening, recognition methods and equipment and medium
CN108376235A (en) * 2018-01-15 2018-08-07 深圳市易成自动驾驶技术有限公司 Image detecting method, device and computer readable storage medium
CN108229591B (en) 2018-03-15 2020-09-22 北京市商汤科技开发有限公司 Neural network adaptive training method and apparatus, device, program, and storage medium
CN108898218A (en) * 2018-05-24 2018-11-27 阿里巴巴集团控股有限公司 A kind of training method of neural network model, device and computer equipment
CN109299716B (en) * 2018-08-07 2021-07-06 北京市商汤科技开发有限公司 Neural network training method, image segmentation method, device, equipment and medium

Also Published As

Publication number Publication date
WO2020238101A1 (en) 2020-12-03
CN112001211A (en) 2020-11-27
KR102455745B1 (en) 2022-10-17
CN112001211B (en) 2024-04-19
JP2021530015A (en) 2021-11-04
JP7101267B2 (en) 2022-07-14
US20210117725A1 (en) 2021-04-22
KR20210006429A (en) 2021-01-18

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