Comparative Analysis of YOLOv3-320 and YOLOv3-tiny for the Optimised Real-Time Object Detection System

Author:

M Koteswararao1,R Karthikeyan P.1

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Use of Anomaly Detection and Object Detection as Basic Support in the Recognition of Outlier Data in Images;Communications in Computer and Information Science;2023-12-20

2. Enhancing FPGA-Based YOLO Object Detection: Multi-Bank Storage Optimization and Model Refinement for Real-Time Applications;2023 8th International Conference on Integrated Circuits and Microsystems (ICICM);2023-10-20

3. Sensor Tracking System using Radar and Object Detection;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

4. Finding Patterns of Cyber-Attacks and Creating A Detection Model to Detect Cyber-Attacks Using Machine Learning;Journal of Artificial Intelligence, Machine Learning and Neural Network;2023-01-09

5. Comparison of CW Radar Systems for Radar Applications using Object Detection and Real-Time Tracking;2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON);2022-10-26

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