SG11202002078UA - Method and apparatus for training semantic segmentation model, computer device, and storage medium - Google Patents

Method and apparatus for training semantic segmentation model, computer device, and storage medium

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Publication number
SG11202002078UA
SG11202002078UA SG11202002078UA SG11202002078UA SG11202002078UA SG 11202002078U A SG11202002078U A SG 11202002078UA SG 11202002078U A SG11202002078U A SG 11202002078UA SG 11202002078U A SG11202002078U A SG 11202002078UA SG 11202002078U A SG11202002078U A SG 11202002078UA
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SG
Singapore
Prior art keywords
storage medium
computer device
semantic segmentation
segmentation model
training semantic
Prior art date
Application number
SG11202002078UA
Inventor
Jianzong Wang
Chenyu Wang
Jin Ma
Jing Xiao
Original Assignee
Ping An Technology Shenzhen Co Ltd
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Publication date
Application filed by Ping An Technology Shenzhen Co Ltd filed Critical Ping An Technology Shenzhen Co Ltd
Publication of SG11202002078UA publication Critical patent/SG11202002078UA/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • 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
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • 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
    • 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
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/061—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using biological neurons, e.g. biological neurons connected to an integrated circuit
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • 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
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • 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
    • 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
    • G06V30/19173—Classification techniques
    • 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
    • G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
    • G06V30/262—Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context
    • G06V30/274—Syntactic or semantic context, e.g. balancing
    • 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]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Neurology (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Image Analysis (AREA)
SG11202002078UA 2018-04-20 2018-07-13 Method and apparatus for training semantic segmentation model, computer device, and storage medium SG11202002078UA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810362207.1A CN108830277B (en) 2018-04-20 2018-04-20 Training method and device of semantic segmentation model, computer equipment and storage medium
PCT/CN2018/095673 WO2019200758A1 (en) 2018-04-20 2018-07-13 Semantic segmentation model training method, device, computer apparatus and storage medium

Publications (1)

Publication Number Publication Date
SG11202002078UA true SG11202002078UA (en) 2020-04-29

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Family Applications (1)

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SG11202002078UA SG11202002078UA (en) 2018-04-20 2018-07-13 Method and apparatus for training semantic segmentation model, computer device, and storage medium

Country Status (5)

Country Link
US (1) US11398034B2 (en)
JP (1) JP7107976B2 (en)
CN (1) CN108830277B (en)
SG (1) SG11202002078UA (en)
WO (1) WO2019200758A1 (en)

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WO2020121678A1 (en) * 2018-12-14 2020-06-18 富士フイルム株式会社 Mini-batch learning device, operating program for mini-batch learning device, operating method for mini-batch learning device, and image processing device
CN109978893B (en) * 2019-03-26 2023-06-20 腾讯科技（深圳）有限公司 Training method, device, equipment and storage medium of image semantic segmentation network
CN110070034A (en) * 2019-04-19 2019-07-30 北京朗镜科技有限责任公司 Model training method, section recognition methods, device, equipment and medium
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CN111340813B (en) * 2020-02-25 2023-09-01 北京字节跳动网络技术有限公司 Image instance segmentation method and device, electronic equipment and storage medium
CN111415330A (en) * 2020-02-27 2020-07-14 苏州杰锐思智能科技股份有限公司 Copper foil appearance defect detection method based on deep learning
CN113362351A (en) * 2020-03-05 2021-09-07 阿里巴巴集团控股有限公司 Image processing method and device, electronic equipment and storage medium
CN111047609B (en) * 2020-03-13 2020-07-24 北京深睿博联科技有限责任公司 Pneumonia focus segmentation method and device
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CN112926399A (en) * 2021-01-28 2021-06-08 上海商汤智能科技有限公司 Target object detection method and device, electronic equipment and storage medium
CN113239836A (en) * 2021-05-20 2021-08-10 广州广电运通金融电子股份有限公司 Vehicle body color identification method, storage medium and terminal
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CN113920075A (en) * 2021-09-29 2022-01-11 广州鲁邦通物联网科技股份有限公司 Simple defect detection method and system based on object identification
CN113947771B (en) * 2021-10-15 2023-06-27 北京百度网讯科技有限公司 Image recognition method, apparatus, device, storage medium, and program product
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CN115527180B (en) * 2022-11-03 2023-05-23 北京贝能达信息技术股份有限公司 Carriage crowding degree recognition system based on image recognition technology

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Also Published As

Publication number Publication date
WO2019200758A1 (en) 2019-10-24
JP7107976B2 (en) 2022-07-27
CN108830277B (en) 2020-04-21
US20200294240A1 (en) 2020-09-17
CN108830277A (en) 2018-11-16
US11398034B2 (en) 2022-07-26
JP2020524858A (en) 2020-08-20

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