ZA202202140B - Two-stage logo image detection method and system based on deep learning - Google Patents

Two-stage logo image detection method and system based on deep learning

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Publication number
ZA202202140B
ZA202202140B ZA2022/02140A ZA202202140A ZA202202140B ZA 202202140 B ZA202202140 B ZA 202202140B ZA 2022/02140 A ZA2022/02140 A ZA 2022/02140A ZA 202202140 A ZA202202140 A ZA 202202140A ZA 202202140 B ZA202202140 B ZA 202202140B
Authority
ZA
South Africa
Prior art keywords
detection method
system based
deep learning
image detection
logo image
Prior art date
Application number
ZA2022/02140A
Inventor
Sujuan Hou
Qiang Hou
Yuanjie Zheng
Weikuan Jia
Ye Meng
Jing Wang
Original Assignee
Univ Shandong
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 Univ Shandong filed Critical Univ Shandong
Publication of ZA202202140B publication Critical patent/ZA202202140B/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • 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
    • G06F18/25—Fusion techniques
    • G06F18/253—Fusion techniques of extracted features
    • 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
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
ZA2022/02140A 2021-03-04 2022-02-21 Two-stage logo image detection method and system based on deep learning ZA202202140B (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110240268.2A CN113076972A (en) 2021-03-04 2021-03-04 Two-stage Logo image detection method and system based on deep learning

Publications (1)

Publication Number Publication Date
ZA202202140B true ZA202202140B (en) 2022-05-25

Family

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ZA2022/02140A ZA202202140B (en) 2021-03-04 2022-02-21 Two-stage logo image detection method and system based on deep learning

Country Status (2)

Country Link
CN (1) CN113076972A (en)
ZA (1) ZA202202140B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117557675B (en) * 2024-01-12 2024-04-30 北京航空航天大学杭州创新研究院 Deep learning MRI image acceleration reconstruction method and system

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CN108509839A (en) * 2018-02-02 2018-09-07 东华大学 One kind being based on the efficient gestures detection recognition methods of region convolutional neural networks
CN109614985B (en) * 2018-11-06 2023-06-20 华南理工大学 Target detection method based on densely connected feature pyramid network
CN109543754B (en) * 2018-11-23 2023-04-28 中山大学 Parallel method of target detection and semantic segmentation based on end-to-end deep learning
CN109800631B (en) * 2018-12-07 2023-10-24 天津大学 Fluorescence coding microsphere image detection method based on mask region convolution neural network
CN110717532A (en) * 2019-09-27 2020-01-21 广东工业大学 Real-time detection method for robot target grabbing area based on SE-RetinaGrasp model
CN110991435A (en) * 2019-11-27 2020-04-10 南京邮电大学 Express waybill key information positioning method and device based on deep learning
CN111210443B (en) * 2020-01-03 2022-09-13 吉林大学 Deformable convolution mixing task cascading semantic segmentation method based on embedding balance
CN111444973B (en) * 2020-03-31 2022-05-20 西安交通大学 Method for detecting commodities on unmanned retail shopping table
CN111523545B (en) * 2020-05-06 2023-06-30 青岛联合创智科技有限公司 Article searching method combined with depth information
CN111523610B (en) * 2020-05-06 2023-04-21 青岛联合创智科技有限公司 Article identification method for efficient labeling of samples
CN111626200A (en) * 2020-05-26 2020-09-04 北京联合大学 Multi-scale target detection network and traffic identification detection method based on Libra R-CNN
CN111735815A (en) * 2020-06-18 2020-10-02 江苏方天电力技术有限公司 Method and device for detecting defects of small hardware fittings of power transmission line and storage medium
CN111814753A (en) * 2020-08-18 2020-10-23 深延科技(北京)有限公司 Target detection method and device under foggy weather condition
CN112164038A (en) * 2020-09-16 2021-01-01 上海电力大学 Photovoltaic hot spot detection method based on deep convolutional neural network
CN112308822B (en) * 2020-10-10 2024-07-09 杭州电子科技大学 Intervertebral disc CT image detection method based on deep convolutional neural network
CN112270280B (en) * 2020-11-02 2022-10-14 重庆邮电大学 Open-pit mine detection method in remote sensing image based on deep learning
CN112330651A (en) * 2020-11-13 2021-02-05 山东师范大学 Logo detection method and system based on deep learning
CN112418296B (en) * 2020-11-18 2024-04-02 中国科学院上海微系统与信息技术研究所 Bionic binocular target identification and tracking method based on human eye visual attention mechanism
CN112215217B (en) * 2020-12-03 2021-04-13 印迹信息科技（北京）有限公司 Digital image recognition method and device for simulating doctor to read film

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