Deep Neural Network Based Automatic Litter Detection in Desert Areas Using Unmanned Aerial Vehicle Imagery-Reference-Cited by-同舟云学术

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Deep Neural Network Based Automatic Litter Detection in Desert Areas Using Unmanned Aerial Vehicle Imagery

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium on Networks, Computers and Communications (ISNCC)
language:
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Author:

Wang Guoxu¹,Leonce Andrew²,Hacid Hakim³,Edirisinghe E.A.⁴

Affiliation:

1. Loughborough University,Department of Computer Science,Loughborough,UK

2. College of Technological Innovation, Zayed University,United Arab Emirates

3. Technology Innovation Institute,Masdar city, Abu Dhabi,UAE

4. School of Computing & Mathematics, Keele University,Keele,UK

Funder

Zayed University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323960.pdf?arnumber=10323960

Reference19 articles.

1. Ssd: Single shot multibox detector;liu;Computer Vision–ECCV 2016 14th European Conference Amsterdam The Netherlands October 11–14 2016 Proceedings Part I 14,2016

2. A review of yolo algorithm developments;jiang;Procedia Computer Science,2022

3. Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

4. Deep neural network based date palm tree detection in drone imagery

5. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;Advances in neural information processing systems,2015

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