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Kim Halvorsen
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2020 – today
- 2024
- [j2]Noemi Canovi, Benjamin A. Ellis, Tonje Knutsen Sørdalen, Vaneeda Allken, Kim Tallaksen Halvorsen, Ketil Malde, Cigdem Beyan:
Trajectory-based fish event classification through pre-training with diffusion models. Ecol. Informatics 82: 102733 (2024) - 2023
- [c1]Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen:
A contrastive learning approach for individual re-identification in a wild fish population. NLDL 2023 - [i3]Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen:
A contrastive learning approach for individual re-identification in a wild fish population. CoRR abs/2301.00596 (2023) - 2022
- [j1]Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Tallaksen Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Temperate fish detection and classification: a deep learning based approach. Appl. Intell. 52(6): 6988-7001 (2022) - 2021
- [i2]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:
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook. CoRR abs/2109.14737 (2021) - 2020
- [i1]Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin:
Temperate Fish Detection and Classification: a Deep Learning based Approach. CoRR abs/2005.07518 (2020)
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last updated on 2024-09-02 21:20 CEST by the dblp team
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