A GA-Based Learning Strategy Applied to YOLOv5 for Human Object Detection in UAV Surveillance System-Reference-Cited by-同舟云学术

A GA-Based Learning Strategy Applied to YOLOv5 for Human Object Detection in UAV Surveillance System

Published:2022-06-27 Issue: Volume: Page:
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Container-title:2022 IEEE 17th International Conference on Control & Automation (ICCA)
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Author:

Mantau Aprinaldi Jasa¹,Widayat Irawan Widi¹,Adhitya Yudhi¹,Prakosa Setya Widyawan²,Leu Jenq-Shiou²,Koppen Mario¹

Affiliation:

1. Kyushu Institute of Technology,Graduate School of Computer Science and Systems Engineering,Iizuka,Fukuoka,Japan,820-8502

2. National Taiwan University of Science and Technology,Taipei City,Taiwan,10607

Funder

National Taiwan University

Publisher

IEEE

Link

Reference20 articles.

2. Yolo9000: better, faster, stronger;redmon;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

3. Yolov3: An incremental improvement;redmon,2018

4. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy,2020

5. yolov5;jocher,2021

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