YOLO-CBNet: A robust attention-enhanced detection framework for underwater fish recognition in aquaculture environments.

Hamzaoui M, Bousbia L, Ould-Elhassen Aoueileyine M, Filali I, Bouallegue R

DOI: 10.1371/journal.pone.0341525
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0341525,
  title = {YOLO-CBNet: A robust attention-enhanced detection framework for underwater fish recognition in aquaculture environments.},
  author = {Hamzaoui M and Bousbia L and Ould-Elhassen Aoueileyine M and Filali I and Bouallegue R},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0341525},
  url = {https://doi.org/10.1371/journal.pone.0341525}
}

RIS

TY  - JOUR
TI  - YOLO-CBNet: A robust attention-enhanced detection framework for underwater fish recognition in aquaculture environments.
AU  - Hamzaoui M
AU  - Bousbia L
AU  - Ould-Elhassen Aoueileyine M
AU  - Filali I
AU  - Bouallegue R
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0341525
UR  - https://doi.org/10.1371/journal.pone.0341525
ER  -

APA

M, H., L, B., M, O. A., I, F., & R, B. (2026). YOLO-CBNet: A robust attention-enhanced detection framework for underwater fish recognition in aquaculture environments.. PloS one. https://doi.org/10.1371/journal.pone.0341525

Source records

pubmed · retrieved 2026-09-25T06:17:54.587Z