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

Rashid, AH; Razzak, Imran; Tanveer, M; Robles-Kelly, Antonio

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

conference contribution

posted on 2024-06-05, 06:32 authored by AH Rashid, Imran Razzak, M Tanveer, Antonio Robles-Kelly

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

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1.
DOI - Is version of https://doi.org/10.1109/IJCNN52387.2021.9533849

Location

Shenzhen, China

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

[Unknown]

Volume

2021-July

Pagination

1-6

Start date

2021-07-18

End date

2021-07-22

ISSN

2161-4393

eISSN

2161-4407

ISBN-13

9780738133669

Title of proceedings

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

Event

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

Publisher

IEEE

Place of publication

Piscataway, N.J.

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Keywords

CORE2020 A 4603 Computer vision and multimedia computation

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

History

Related Materials

Location

Language

Publication classification

Editor/Contributor(s)

Volume

Pagination

Start date

End date

ISSN

eISSN

ISBN-13

Title of proceedings

Event

Publisher

Place of publication

Usage metrics

Categories

Keywords

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