no code implementations • 2 Jan 2023 • Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior.
no code implementations • 29 Sep 2021 • Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen
We provide insight into popular deep learning approaches for ecological data analysis in plain language, focusing on the techniques of supervised learning with deep neural networks, and illustrate challenges and opportunities through established and emerging applications of deep learning to marine ecology.
no code implementations • 14 May 2020 • Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering.
no code implementations • 4 Apr 2019 • Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin
The second step is to train the classifier based on a new data set consisting of species that we are interested in for classification, named as post-training.