Performance Comparison of Object Detection Neural Network Models Based on Accuracy and Latency-Reference-Cited by-同舟云学术

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Performance Comparison of Object Detection Neural Network Models Based on Accuracy and Latency

Published:2024-01-04 Issue: Volume:6 Page:1040-1044
ISSN:
Container-title:2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

B Gomathy¹,N Sengottaiyan²,K Aarthi.³,P Thirumoorthy⁴,K Tamizharasu.⁵,P Kalyanasundaram⁵

Affiliation:

1. Dr.NGP Institute of Technology,Dept of Computer Science and Business Systems,Coimbatore,Tamilnadu,India

2. Alliance College of Engineering and Design, Alliance University,Faculty of Science and Technology,Anekal,Karnataka,562106

3. Kongu Engineering College,Department of ECE,Perundurai,Tamilnadu,India,Erode-638 060

4. Nandha Engineering college,Department of CSE,Perundurai,Erode-638 052

5. KSR Institute for Engineering and Technology Tiruchengode -,Department of CSE,637215

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467178/10467214/10467336.pdf?arnumber=10467336

Reference26 articles.

1. Comparison of Faster-RCNN, YOLO, and SSD for Real-Time Vehicle Type Recognition

2. and Shrinivas Sampath. 2019. “Comparison of Yolo, SSD, Faster RCNN for Real Time Tennis Ball Tracking for Action Decision Networks.”;Deepa

3. Vehicle-Damage-Detection Segmentation Algorithm Based on Improved Mask RCNN;Qinghui,2020

4. Multi-block SSD based on small object detection for UAV railway scene surveillance

5. Application of YOLOv4 for Detection and Motion Monitoring of Red Foxes

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