SG11202106971YA - Configuration method and apparatus for detector, electronic device, and storage medium - Google Patents

Configuration method and apparatus for detector, electronic device, and storage medium

Info

Publication number
SG11202106971YA
SG11202106971YA SG11202106971YA SG11202106971YA SG11202106971YA SG 11202106971Y A SG11202106971Y A SG 11202106971YA SG 11202106971Y A SG11202106971Y A SG 11202106971YA SG 11202106971Y A SG11202106971Y A SG 11202106971YA SG 11202106971Y A SG11202106971Y A SG 11202106971YA
Authority
SG
Singapore
Prior art keywords
detector
electronic device
storage medium
configuration method
configuration
Prior art date
Application number
SG11202106971YA
Inventor
Junran Peng
Ming Sun
Original Assignee
Beijing Sensetime Technology Development Co 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 Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11202106971YA publication Critical patent/SG11202106971YA/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
    • 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
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/20—Image enhancement or restoration using local operators
    • G06T5/30—Erosion or dilatation, e.g. thinning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07—Target detection

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)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Image Processing (AREA)
SG11202106971YA 2019-08-30 2019-11-18 Configuration method and apparatus for detector, electronic device, and storage medium SG11202106971YA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910816321.1A CN110543849B (en) 2019-08-30 2019-08-30 Detector configuration method and device, electronic equipment and storage medium
PCT/CN2019/119161 WO2021036013A1 (en) 2019-08-30 2019-11-18 Configuration method and apparatus for detector, electronic device, and storage medium

Publications (1)

Publication Number Publication Date
SG11202106971YA true SG11202106971YA (en) 2021-07-29

Family

ID=68711000

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202106971YA SG11202106971YA (en) 2019-08-30 2019-11-18 Configuration method and apparatus for detector, electronic device, and storage medium

Country Status (7)

Country Link
US (1) US20210326649A1 (en)
JP (1) JP2022515274A (en)
KR (1) KR20210113242A (en)
CN (1) CN110543849B (en)
SG (1) SG11202106971YA (en)
TW (1) TWI733276B (en)
WO (1) WO2021036013A1 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113989169A (en) * 2020-07-08 2022-01-28 嘉楠明芯(北京)科技有限公司 Expansion convolution accelerated calculation method and device
CN112101374B (en) * 2020-08-01 2022-05-24 西南交通大学 Unmanned aerial vehicle obstacle detection method based on SURF feature detection and ISODATA clustering algorithm
CN112037157B (en) * 2020-09-14 2024-07-02 Oppo广东移动通信有限公司 Data processing method and device, computer readable medium and electronic equipment
CN111951269B (en) * 2020-10-16 2021-01-05 深圳云天励飞技术股份有限公司 Image processing method and related equipment

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6151682A (en) * 1997-09-08 2000-11-21 Sarnoff Corporation Digital signal processing circuitry having integrated timing information
CN107742150B (en) * 2016-10-31 2020-05-12 腾讯科技（深圳）有限公司 Data processing method and device of convolutional neural network
CN108229478B (en) * 2017-06-30 2020-12-29 深圳市商汤科技有限公司 Image semantic segmentation and training method and device, electronic device, storage medium, and program
CN113627458A (en) * 2017-10-16 2021-11-09 因美纳有限公司 Variant pathogenicity classifier based on recurrent neural network
US11734545B2 (en) * 2017-11-14 2023-08-22 Google Llc Highly efficient convolutional neural networks
CN108197606A (en) * 2018-01-31 2018-06-22 浙江大学 The recognition methods of abnormal cell in a kind of pathological section based on multiple dimensioned expansion convolution
CN108364061B (en) * 2018-02-13 2020-05-05 北京旷视科技有限公司 Arithmetic device, arithmetic execution apparatus, and arithmetic execution method
CN108647776A (en) * 2018-05-08 2018-10-12 济南浪潮高新科技投资发展有限公司 A kind of convolutional neural networks convolution expansion process circuit and method
CN108960069A (en) * 2018-06-05 2018-12-07 天津大学 A method of the enhancing context for single phase object detector
CN109598269A (en) * 2018-11-14 2019-04-09 天津大学 A kind of semantic segmentation method based on multiresolution input with pyramid expansion convolution
CN109886090B (en) * 2019-01-07 2020-12-04 北京大学 Video pedestrian re-identification method based on multi-time scale convolutional neural network
CN109829863B (en) * 2019-01-22 2021-06-25 深圳市商汤科技有限公司 Image processing method and device, electronic equipment and storage medium
CN110009648B (en) * 2019-03-04 2023-02-24 东南大学 Roadside image vehicle segmentation method based on depth feature fusion convolutional neural network
CN110009095B (en) * 2019-03-04 2022-07-29 东南大学 Road driving area efficient segmentation method based on depth feature compressed convolutional network
CN110047069B (en) * 2019-04-22 2021-06-04 北京青燕祥云科技有限公司 Image detection device

Also Published As

Publication number Publication date
CN110543849B (en) 2022-10-04
KR20210113242A (en) 2021-09-15
TWI733276B (en) 2021-07-11
WO2021036013A1 (en) 2021-03-04
US20210326649A1 (en) 2021-10-21
TW202109365A (en) 2021-03-01
JP2022515274A (en) 2022-02-17
CN110543849A (en) 2019-12-06

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