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
Other languages
English (en)
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

Links

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 (zh) 2019-08-30 2019-08-30 检测器的配置方法及装置、电子设备和存储介质
PCT/CN2019/119161 WO2021036013A1 (zh) 2019-08-30 2019-11-18 检测器的配置方法及装置、电子设备和存储介质

Publications (1)

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

Family

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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 (zh)
JP (1) JP2022515274A (zh)
KR (1) KR20210113242A (zh)
CN (1) CN110543849B (zh)
SG (1) SG11202106971YA (zh)
TW (1) TWI733276B (zh)
WO (1) WO2021036013A1 (zh)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113989169A (zh) * 2020-07-08 2022-01-28 嘉楠明芯(北京)科技有限公司 一种膨胀卷积加速计算方法及装置
CN112101374B (zh) * 2020-08-01 2022-05-24 西南交通大学 基于surf特征检测和isodata聚类算法的无人机障碍物检测方法
CN112037157B (zh) * 2020-09-14 2024-07-02 Oppo广东移动通信有限公司 数据处理方法及装置、计算机可读介质及电子设备
CN111951269B (zh) * 2020-10-16 2021-01-05 深圳云天励飞技术股份有限公司 图像处理方法及相关设备

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US6151682A (en) * 1997-09-08 2000-11-21 Sarnoff Corporation Digital signal processing circuitry having integrated timing information
CN107742150B (zh) * 2016-10-31 2020-05-12 腾讯科技（深圳）有限公司 一种卷积神经网络的数据处理方法和装置
CN108229478B (zh) * 2017-06-30 2020-12-29 深圳市商汤科技有限公司 图像语义分割及训练方法和装置、电子设备、存储介质和程序
CN113627458A (zh) * 2017-10-16 2021-11-09 因美纳有限公司 基于循环神经网络的变体致病性分类器
US11734545B2 (en) * 2017-11-14 2023-08-22 Google Llc Highly efficient convolutional neural networks
CN108197606A (zh) * 2018-01-31 2018-06-22 浙江大学 一种基于多尺度膨胀卷积的病理切片中异常细胞的识别方法
CN108364061B (zh) * 2018-02-13 2020-05-05 北京旷视科技有限公司 运算装置、运算执行设备及运算执行方法
CN108647776A (zh) * 2018-05-08 2018-10-12 济南浪潮高新科技投资发展有限公司 一种卷积神经网络卷积膨胀处理电路及方法
CN108960069A (zh) * 2018-06-05 2018-12-07 天津大学 一种用于单阶段物体检测器的增强上下文的方法
CN109598269A (zh) * 2018-11-14 2019-04-09 天津大学 一种基于多分辨率输入与金字塔膨胀卷积的语义分割方法
CN109886090B (zh) * 2019-01-07 2020-12-04 北京大学 一种基于多时间尺度卷积神经网络的视频行人再识别方法
CN109829863B (zh) * 2019-01-22 2021-06-25 深圳市商汤科技有限公司 图像处理方法及装置、电子设备和存储介质
CN110009648B (zh) * 2019-03-04 2023-02-24 东南大学 基于深浅特征融合卷积神经网络的路侧图像车辆分割方法
CN110009095B (zh) * 2019-03-04 2022-07-29 东南大学 基于深度特征压缩卷积网络的道路行驶区域高效分割方法
CN110047069B (zh) * 2019-04-22 2021-06-04 北京青燕祥云科技有限公司 一种图像检测装置

Also Published As

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

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