Hjort-YOLO: a lightweight and explainable computer vision framework for wildlife detection.

Momin MA, Khan M, Arghandeh R, Bischof R, Hegland SJ, Moen T, Stølen MF

DOI: 10.3389/frai.2026.1930016
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1930016,
  title = {Hjort-YOLO: a lightweight and explainable computer vision framework for wildlife detection.},
  author = {Momin MA and Khan M and Arghandeh R and Bischof R and Hegland SJ and Moen T and Stølen MF},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1930016},
  url = {https://doi.org/10.3389/frai.2026.1930016}
}

RIS

TY  - JOUR
TI  - Hjort-YOLO: a lightweight and explainable computer vision framework for wildlife detection.
AU  - Momin MA
AU  - Khan M
AU  - Arghandeh R
AU  - Bischof R
AU  - Hegland SJ
AU  - Moen T
AU  - Stølen MF
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1930016
UR  - https://doi.org/10.3389/frai.2026.1930016
ER  -

APA

MA, M., M, K., R, A., R, B., SJ, H., T, M., & MF, S. (2026). Hjort-YOLO: a lightweight and explainable computer vision framework for wildlife detection.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1930016

Source records

pubmed · retrieved 2026-11-10T12:09:55.226Z