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RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection

conference contribution
posted on 2021-01-01, 00:00 authored by A H Rashid, Imran RazzakImran Razzak, M Tanveer, Antonio Robles-KellyAntonio Robles-Kelly
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection

History

Event

Neural networks. International joint conference (2021 : Shenzhen, China)

Pagination

1 - 6

Publisher

IEEE

Location

Shenzhen, China

Place of publication

Piscataway, N.J.

Publisher DOI

Start date

2021-07-18

End date

2021-07-22

ISSN

2161-4393

eISSN

2161-4407

ISBN-13

9780738133669

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

[Unknown]

Title of proceedings

IJCNN 2021 : Proceedings of the International Joint Conference on Neural Networks

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RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection
Research PublicationsResearch Publications

Categories

Keywords

Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Hardware & ArchitectureEngineering, Electrical & ElectronicComputer ScienceEngineeringRip CurrentsRip detectionYoloTransfer learningDomain adaptationCORE2020 A

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