Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation-Reference-Cited by-同舟云学术

Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

Published:2019 Issue: Volume: Page:89-101
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Olsvik Erlend,Trinh Christian M. D.,Knausgård Kristian Muri,Wiklund Arne,Sørdalen Tonje Knutsen,Kleiven Alf Ring,Jiao Lei,Goodwin Morten

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-22999-3_9

Reference18 articles.

1. Francour, P., Liret, C., Harvey, E.: Comparison of fish abundance estimates made by remote underwater video and visual census. Naturalista Siciliano 23, 155–168 (1999)

2. Halvorsen, K.T., et al.: Male-biased sexual size dimorphism in the nest building corkwing wrasse (symphodus melops): implications for a size regulated fishery. ICES J. Mar. Sci. 73(10), 2586–2594 (2016)

3. Halvorsen, K.T., Sørdalen, T.K., Vøllestad, L.A., Skiftesvik, A.B., Espeland, S.H., Olsen, E.M.: Sex- and size-selective harvesting of corkwing wrasse (Symphodus melops)-a cleaner fish used in salmonid aquaculture. ICES J. Mar. Sci. 74(3), 660–669 (2017). Jonathan Grabowski, H. (ed.)

4. Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. CoRR abs/1709.01507 (2017)

5. Huang, P.X., Boom, B.B., Fisher, R.B.: Fish recognition ground-truth data (2013). Accessed 30 Jan 2018

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