Original approach for the localisation of objects in images

Cited by (303)

Items 201–300 of 303

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2. Pedestrian Localization
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4. Robust Face Detection using Convolutional Neural Network
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5. Multi-Angle Face Detection Based on Improved RFCN Algorithm Using Multi-Scale Training
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6. Safety Helmet Wearing Detection and Recognition Based on YOLOv4
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7. Natural Disaster Analytics using High Resolution Satellite Images
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8. Semi-supervised training of models for appearance-based statistical object detection methods
   Charles J. Rosenberg, Martial Hebert, Sebastian Thrun · 2004
9. Region Based Convolutional Neural Networks for object detection and recognition in ADAS application
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10. Reinforcement Learning and Video Games
    Yue Zheng · 2019 · arXiv (Cornell University)
11. Embedded Arabic text detection and recognition in videos
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12. FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection
    Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen · 2018 · International Joint Conference on Neural Networks (IJCNN)
13. Context-Aware Collaborative Object Recognition For Distributed Multi Camera Time Series Data
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14. A new non-invasive tagging method for leopard coral grouper (Plectropomus leopardus) using deep convolutional neural networks with PDE-based image decomposition
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15. Digital architecture for real-time CNN-based face detection for video processing
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16. A Deep Learning Pipeline for Image Understanding and Acoustic Modeling
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17. ¿Son los sistemas de inteligencia artificial una herramienta útil para los programas de cribado de cáncer de mama?
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18. Sistema de reconhecimento de imagens, baseado no modelo GSN de rede neural
    Mário Luiz Tronco · 1999 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
19. Research Progress of Convolutional Neural Network and its Application in Object Detection
    Wei Zhang, Zeng, Zuoxiang · 2020 · arXiv (Cornell University)
20. Deep Learning
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21. Face Recognition from Art Face Images based on Deep Learning
    Zhexin Liang · 2020 · International Conference Big Data Research
22. Plasmo3Net: A convolutional neural network-based algorithm for detecting malaria parasites in thin blood smear images
    Afolabi J. Owoloye, Funmilayo C. Ligali, Ojochenemi A. Enejoh, Oluwafemi Agosile, Adesola Zaidat Musa, Oluwagbemiga O. Aina, Adetunji P. Adewole, Emmanuel Taiwo Idowu, Kolapo Muyiwa Oyebola · 2026 · Next research.
23. Application of CNN in blood smeared images: A Review
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24. Object Recognition with Statistically Independent Features: A Model Inspired by the Primate Visual Cortex
    Mohsen Malmir, Saeed Shiry Ghidary · 2010 · Lecture notes in computer science
25. Biologically-inspired video enhancement method for robust shape recognition
    Shayan Poursoltan, Russell S. A. Brinkworth, Matthew Sorell · 2013 · International Conference on Communications, Signal Processing, and their Applications (ICCSPA)
26. Face detection through neural network
    Sheeba Joseph, R Sowmiya, Roshni Ann Thomas, X. Sofia · 2014 · International Conference on Current Trends in Engineering and Technology
27. Rotation invariant face recognition using optical neural networks
    K. Parimala Geetha, S. Sundaravadivelu, Nikita Singh · 2008 · IEEE Region 10 Conference (TENCON)
28. Action Recognition in Real Homes using Low Resolution Depth Video Data
    Flávia Dias Casagrande, Oda Olsen Nedrejord, Wonho Lee, Evi Zouganeli · 2019 · Proceedings - IEEE Symposium on Computer-Based Medical Systems
29. Deep Learning for the Automated Feature Labelling of 3-Dimensional Imaged Placenta
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30. Evaluating face recognition with different texture descriptions and convolution neural network
    Wafaa Al-Hameed, Marwan B. Mohammed · 2023 · Indonesian Journal of Electrical Engineering and Computer Science
31. Face detection: A deep convolutional network method based on grouped facial part
    Xianbo Yu, Yuzhuo Fu, Ting Liu · 2017 · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
32. Emerging memory technologies for neuromorphic hardware
    Elisa Vianello, L. Perniola, Barbara de Salvo · 2019 · Elsevier eBooks
33. Convolutional Locality-Sensitive Dictionary Learning for Facial Expressions Detection
    Benjamin Ghansah · 2022 · International Journal of Data Analytics
34. A robust face detection system for real environments
    Gian Luca Foresti, Christian Micheloni, Lauro Snidaro · 2004 · Proceedings - International Conference on Image Processing
35. Inverting and Understanding Object Detectors
    Ang Cao, Justin Johnson · 2021 · arXiv (Cornell University)
36. A new fast object detection architecture combing manually-designed feature and CNN
    Haiyang Zhang, Shouhong Wan, Lihua Yue, Zhize Wu, Yunhao Zhao · 2015 · International Congress on Image and Signal Processing (CISP)
37. Draft: Deep Learning in Neural Networks: An Overview
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38. A Novel BP Neural Network Based System for Face Detection
    Shuhui Cao, Zhihao Yu, Xiao Lin, Linhua Jiang, Dongfang Zhao · 2017 · Lecture notes in electrical engineering
39. Analysis of Object Detection Algorithms Using Neural Networks
    Anmol Singh Ahluwalia, Anukarsh Sondhi, Shruti Gupta · 2021 · Algorithms for intelligent systems
40. Face Detection
    Chen Change Loy · 2021 · Springer eBooks
41. Memory Challenges
    C. Cagli, L. Perniola · 2022 · Springer handbooks
42. Progressive Pedestrian Localization Using Neural Networks
    Markus Gressmann, Günther Palm, Otto Löhlein · 2012 · Topics in intelligent engineering and informatics
43. Deep Learning for Computer Vision: A comparison between Convolutional Neural Networks and Hierarchical Temporal Memories on object recognition tasks
    Davide Maltoni · 2015
44. Automatic Information Extraction from Electronic Documents Using Machine Learning
    Nishanthan Kamaleson, Dominique Chu, Fernando E. B. Otero · 2021 · Lecture notes in computer science
45. SOINN-Based Abnormal Trajectory Detection for Efficient Video Condensation
    Chin‐Shyurng Fahn, Chang-Yi Kao, Meng-Luen Wu, Hao-En Chueh · 2022 · Computer Systems Science and Engineering
46. Detecting Impersonators in Examination Halls Using AI
    A. Vishal, T. Nitish Reddy, P. Prahasit Reddy, Shitharth Selvarajan · 2022 · Smart innovation, systems and technologies
47. An Efficient Scheme of Deep Convolution Neural Network for Multi View Face Detection
    Shivkaran Ravidas, M.A. Ansari · 2019 · International Journal of Intelligent Systems and Applications
48. Face Detection
    Chen Change Loy · 2020 · Springer eBooks
49. A Study on Indirect Performance Parameters of Object Detection
    Enoch Arulprakash, A. Martín, T. Miranda Lakshmi · 2022 · SN Computer Science
50. Искусственный интеллект: развитие и тревоги. Взгляд в будущее. Статья вторая. Искусственный интеллект: терра инкогнита или управляемая сила?
    Leonid E. Grinin, Гринин Антон Леонидович, Гринин Игорь Леонидович · 2023 · Философия и общество
51. "Processamento e análise de imagens para medição de vícios de refração ocular"
    Antônio Valério Netto · 2003 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
52. Deep Learning
    Jürgen Schmidhuber · 2017 · Springer eBooks
53. Application of Deep Learning-Based Neural Networks Using Theoretical Seismograms as Training Data for Locating Earthquakes in the Hakone Volcanic Region, Japan
    Daisuke Sugiyama, Seiji Tsuboi, Yohei Yukutake · 2021 · Research Square
54. Machine Learning Strategies for Complex Tasks
    Colin Campbell, Theodoros Evgeniou, Bernd Heisele, Massimiliano Pontil · 2000
55. Guiding object recognition: a shape model with co-activation networks
    Timothy M. Lebo · 2005
56. Kernel-based classifiers with applications to face detection
    Vlad Calin Popovici · 2004 · Infoscience (Ecole Polytechnique Fédérale de Lausanne)
57. Lip Analysis for Person recognition
    Usman Saeed · 2010
58. A specific spectroscopy of microscopic images with improved small object or artefact perception and manipulation
    Nebojsa Peric, Obrad Kasum, Aleksandar Jovanović, Aleksandar Perović · 2014 · IEEE International Symposium on Intelligent Systems and Informatics (SISY)
59. Integrating Text and Face Detection for Finding Informative Poster Frames
    Michael Anthony Smith, Shumeet Baluja, Henry A. Rowley · 1997
60. UAV based distributed automatic target detection algorithm under realistic simulated environmental effects
    Shanshan Gong · 2007
61. Low-latency Image Recognition with GPU-accelerated Convolutional Networks for Web-based Services
    Fu Jie Huang · 2014
62. Building an automatic phenotyping system of developing embryos
    Yann LeCun, Ning Feng · 2006
63. Learning a discriminative feature for object detection based on feature fusing and context learning
    You Lei, Hongpeng Wang, Yuan Wang · 2017 · International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
64. Study on Infrared Stealth Performance Evaluation Based on Convolution Neural Network
    Xiaofeng Zhao, Yinpeng Wei, Wei Cai · 2018 · International Conference on Multimedia and Image Processing (ICMIP)
65. Not Too Deep CNN for Face Detection in Real Life Scenario
    Sanjoy Chowdhury, Parthasarathi Mukherjee, Ujjwal Bhattacharya · 2018 · Communications in computer and information science
66. Evolving Robust, Deliberate Motion Planning With a Shallow Convolutional Neural Network
    Ben Jolley, Alastair Channon · 2018 · Conference on Artificial Life (ALIFE)
67. EffectFace: A Fast and Efficient Deep Neural Network Model for Face Recognition
    Weicheng Li, Dan Ping Jia, Jia Zhai, Jihong Cai, Han Zhang, Lianyi Zhang, Hailong Yang, Depei Qian, Rui Wang · 2018 · Communications in computer and information science
68. Quantifying human behaviour with online images
    Merve Alanyali · 2026 · Warwick Research Archive Portal (University of Warwick)
69. Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs
    Víctor Ponce-López, Tilo Burghardt, Yue Sun, Sion Hannuna, Dima Damen, Majid Mirmehdi · 2019 · Lecture notes in computer science
70. Robust 3D Convolutional Neural Networks For Pulmonary Nodule Detection
    Zhipeng Ding, Wenqiang Zhang, Kangzheng Gu · 2019 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
71. Dynamic Balance Net: Correlation-enhanced Two-stage Object Detection Network with IoU-Loss
    Zhenshen Qu, Jingda Du, Yong Cao, Qiuyu Guan, Pengbo Zhao · 2019 · IEEE International Conference on Computer and Communications (ICCC)
72. Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks
    Evagelos Georgios Chatzopoulos, George C. Anastassopoulos, Εfstathios T. Detorakis, Adam V. Adamopoulos · 2020 · Proceedings of the international neural networks society
73. Microwave Based Multiphase Flow Detection Using Convolutional Neural Network
    Jiang, J · 2020 · University of Liverpool
74. Finding Facial Emotions From the Clutter Scenes Using Zernike Moments-Based Convolutional Neural Networks
    Wencan Zhong, Vijayalakshmi G. V. Mahesh, Alex Noel Joseph Raj, Ruban Nersisson · 2020 · Advances in computational intelligence and robotics book series
75. Some New Attempts to Process Biological Data
    Yang Shuxun, Mingpu Li, Jun Luo, Yupeng Lu, Chao Yan, Xu-Qing Tang · 2020 · International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)
76. Deep neural networks based visual object detection in videos
    Ruibing Jin · 2020
77. Research on Expression Recognition Algorithm Based on Attention Mechanism
    Lei Sun · 2021 · Journal of Physics Conference Series
78. Function shaping in deep learning
    Ēvalds Urtāns · 2021 · RTU Press eBooks
79. Funkciju formēšana dziļajā mašīnmācīšanā
    Ēvalds Urtāns · 2021 · RTU Press eBooks
80. Signal to Noise Ratio Loss Function
    Ali Ghobadzadeh, Lashkari, Amir · 2021 · arXiv (Cornell University)
81. References
    2005 · Elsevier eBooks
82. References
    2017 · Elsevier eBooks
83. References
    2012 · Elsevier eBooks
84. Applications of deep learning in single-cell analysis
    Réka Hollandi · 2021
85. Automated segmentation of micro-CT images by deep learning and its application to comparative morphology
    Ευρώπη Τουλκερίδου · 2021
86. A Pedestrian Detection Method Based on Improved ResNet for Container Terminal
    Zheng Shen, Wenxiang Wu, Shuaiya Sun, Kan Hu · 2022 · Lecture notes in computer science
87. Image and its Coordinates Detection in Convolution Neural Network Using YOLO Framework
    Abhilasha Gupta, Krishna Joshi, Umesh Diwedi · 2023 · Soft Computing Research Society eBooks
88. Detection and Counting of Dense Objects in Plateau Environment
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89. MSAbox: A spatially stable face detector
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90. A General Object Size Attention Mechanism
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91. Gromadzenie zdjęć, albo jak przeobrażają świat cyfrowe obrazy, których nie oglądamy
    Maciej Frąckowiak · 2022 · Widok Teorie i Praktyki Kultury Wizualnej
92. Farklı Derin Sinir Ağı Modelleri Birleştirilerek Yakın Kızılötesi Görüntülerde Yüz Tespiti
    Ahmet UNLUHISARCIKLI, Ahmet Nusret Toprak · 2024 · Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
93. Detecção e localização de cavitação via inteligência artificial.
    Patricia Guenkawa · 2024 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
94. Object Detection for Healthcare Data Using Deep Convolutional Neural Networks
    A. Veena, S Gowrishankar · 2024
95. Object Detection Algorithm and Challenges
    Lubna Aziz, Mansoor Ebrahim · 2025 · Advances in computational intelligence and robotics book series
96. Comparative Study of CNN, LSTM, CNN-LSTM and GluonTS Machine Learning Algorithms on Water Quality Index (WQI) Prediction
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97. Partially Supervised Compositional Zero-Shot Learning by Class-Balanced Distribution Alignment
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98. Convolutional neural networks : towards less supervision for visual recognition
    Maxime Oquab · 2018 · theses.fr (ABES)
99. Codage neural parcimonieux pour un système de vision
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100. Micro-Data Reinforcement Learning for Adaptive Robots
     Konstantinos I. Chatzilygeroudis · 2018 · theses.fr (ABES)