YOLO VA CNN MODELLARI ASOSIDAGI REAL VAQTDA OBYEKTLARNI ANIQLASH TIZIMLARINING: TAHLILIY SHARHI
Keywords:
Obyektlarni aniqlash, YOLO, CNN.Abstract
Sun’iy intellekt sohasi obyektlarni aniqlash texnologiyalariga asoslanadi. Ushbu ilmiy sharhda YOU ONLY LOOK ONCE (YOLO) algoritmi hamda uning takomillashtirilgan versiyalari qisqacha tahlil qilingan. Tadqiqot asosan real vaqt rejimida obyektlarni aniqlash masalasida YOLO algoritmi va konvolyutsion neyron tarmoqlari (CNN)ning qo‘llanilishiga bag‘ishlangan.
References
Peiyuan Jiang, Daji Ergu, Fangyao Liu, Ying Cai, Bo Ma; A Review of Yolo Algorithm Developments; The 8th International Conference on Information Technology and Quantitative Management ( ITQM 2020 & 2021)
Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi; “You Only Look Once: Unified, Real-Time Object Detection”; University of Washington, Allen Institute for AI, Facebook AI Research,9 may 2016
Geethapriya. S, N. Duraimurugan, S.P. Chokkalingam; “Real-Time Object Detection with Yolo” International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8, Issue-3S, February 2019.
Tanvir Ahmad , 1 Yinglong Ma , 1 Muhammad Yahya,2 Belal Ahmad,3 Shah Nazir , 4 and Amin ul Haq; “Object Detection through Modified YOLO Neural Network” Research Article, 6 June 2020.
Zhenguang Li; “An improved algorithm for deep learning YOLO network based on Xilinx ZYNQ FPGA”; 2020 International Conference on Culture-oriented Science & Technology (ICCST).
JIN Zhao-zhao1, ZHENG Yu-fu1; “Research on Application of Improved YOLO V3 Algorithm in Road Target Detection”; ICMTIM 2020 Journal of Physics: Conference Series.
Shuo Wang; “Research towards Yolo-Series Algorithms: Comparison and Analysis of Object Detection Models for Real-Time UAV Applications”; IoTAIMA 2021 Journal of Physics: Conference Series.
Priya Kumari , Sonali Mitra , Suparna Biswas, Sunipa Roy, Sayan Roy Chaudhuri, Antara Ghosal, Palasri Dhar, Anurima Majumder; “YOLO Algorithm Based Real-Time Object Detection”; June 2021| IJIRT | Volume 8 Issue 1 | ISSN: 2349-6002
Dr. N. Murali Krishna1, Ramidi Yashwanth Reddy2, Mallu Sai Chandra Reddy3, Kasibhatla Phani Madhav4, Gaikwad Sudham; “OBJECT DETECTION AND TRACKING USING YOLO ”; 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA).
Rakha Asyrofi, Yoni Azhar Winata; “The Improvement Impact Performance of Face Detection Using YOLO Algorithm”; Proc. EECSI 2020 - 1-2 October 2020
Rekha B. S.1, Athiya Marium2, Dr. G. N. Srinivasan3, Supreetha A. Shetty; “Literature Survey on Object Detection using YOLO”; International Research Journal of Engineering and Technology (IRJET) , Volume: 07 Issue: 06 | June 2020.
Zhong-Qiu Zhao, Member, IEEE, Peng Zheng, Shou-tao Xu, and Xindong Wu, Fellow, IEEE; “YOLOv3: An Incremental Improv Object Detection with Deep Learning: A Review”; 16 Apr 2019
Yonghui Lu1, Langwen Zhang2, Wei Xie; “YOLO-compact: An Efficient YOLO Network for Single Category Real-time Object Detection”; 2020 IEEE
Fengxi Yan, Yinxia Xu; “Improved Target Detection Algorithm Based on YOLO”; 2021 4th International Conference on Robotics, Control and Automation Engineering
Zhenguang Li; “An improved algorithm for deep learning YOLO network based on Xilinx ZYNQ FPGA”; 2020 International Conference on Culture-oriented Science & Technology (ICCST).
Woosuk Kim, Hyunwoong Cho, Jongseok Kim, Byungkwan Kim, and Seongwook Lee; “Target Classification Using Combined YOLO SVM in High-Resolution Automotive FMCW Radar”; 2020 IEEE Radar Conference.
Md. Bahar Ullah; “CPU Based YOLO: A Real Time Object Detection Algorithm”; 2020 IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh.
Shujun Zhang, Shanzhen Lan, Qi Bu, Shaobin Li; “YOLO based Intelligent Tracking System for Curling Sport”; ICIS 2019, June 17-19, 2019
Shaobin Chen1,Wei Lin11; “Embedded System Real-Time Vehicle Detectionbased on Improved YOLO Network”;2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC 2019)
Downloads
Published
Issue
Section
How to Cite
