Browsing Brage IMR by Author "Knausgård, Kristian Muri"

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

Olsvik, Erlend; Trinh, Christian M. D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2019)
Temperate fish detection and classification: a deep learning based approach

Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Halvorsen, Kim Aleksander Tallaksen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2021)

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize ...
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook

Goodwin, Morten; Halvorsen, Kim Aleksander Tallaksen; Jiao, Lei; Knausgård, Kristian Muri; Martin, Angela Helen; Moyano, Marta; Oomen, Rebekah Alice; Rasmussen, Jeppe Have; Sørdalen, Tonje Knutsen; Thorbjørnsen, Susanna Huneide (Peer reviewed; Journal article, 2022)

The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ...