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Applicability analysis of attention U-Nets over vanilla variants for automated ship detection Cover

Applicability analysis of attention U-Nets over vanilla variants for automated ship detection

Reports on Geodesy and Geoinformatics
Volume 114 (2022): Issue 1 (December 2022)
By: Pranshav Gajjar,  Manav Garg,  Vatsal Shah,  Pooja Shah and  Anup Das  
Open Access
|Oct 2022

Authors

Pranshav Gajjar

19bce060@nirmauni.ac.in

Department of Computer Science and Engineering, Institute of Technology, Nirma Univeristy

Manav Garg

Department of Computer Science and Engineering, Institute of Technology, Nirma Univeristy

Vatsal Shah

Department of Computer Science and Engineering, Institute of Technology, Nirma Univeristy

Pooja Shah

Department of Computer Science and Engineering, Institute of Technology, Nirma Univeristy

Anup Das

Space Application Centre, Indian Space Research Organisation
DOI: https://doi.org/10.2478/rgg-2022-0005 | Journal eISSN: 2391-8152 | Journal ISSN: 0867-3179
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Language: English
Page range: 9 - 14
Submitted on: May 22, 2022
Accepted on: Sep 28, 2022
Published on: Oct 28, 2022
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
deep learning,
attention,
ship detection,
U-Net
Related subjects:
Computer sciences,
Computer sciences, other,
Geosciences,
Geodesy,
Cartography and photogrammetry,
Geosciences, other

© 2022 Pranshav Gajjar, Manav Garg, Vatsal Shah, Pooja Shah, Anup Das, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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