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Peer-reviewedCC BYSensors (Basel, Switzerland)

Comparative Evaluation of Deep Object Detection Architectures for Automatic Target Recognition in Real-World AUV-Acquired Side-Scan Sonar Imagery

  • Daniel Powarzyński1
  • Norbert Sigiel2
  • Aleksander Cirocki1
  • Mateusz Toporek1
  1. 1Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, 81-127 Gdynia, Poland; (A.C.); (M.T.)
  2. 2Faculty of Navigation and Naval Weapons, , 81-127 Gdynia, Poland;
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Cite

BibTeXRIS
BibTeX
@article{powarzynski2026comparative,
  title = {{Comparative Evaluation of Deep Object Detection Architectures for Automatic Target Recognition in Real-World AUV-Acquired Side-Scan Sonar Imagery}},
  author = {Daniel Powarzyński and Norbert Sigiel and Aleksander Cirocki and Mateusz Toporek},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13708853},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Comparative Evaluation of Deep Object Detection Architectures for Automatic Target Recognition in Real-World AUV-Acquired Side-Scan Sonar Imagery
AU  - Daniel Powarzyński
AU  - Norbert Sigiel
AU  - Aleksander Cirocki
AU  - Mateusz Toporek
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13708853
SN  - 1424-8220
ER  -