Comparative Evaluation of Deep Object Detection Architectures for Automatic Target Recognition in Real-World AUV-Acquired Side-Scan Sonar Imagery
- DOI
- 10.3390/s26206486
- Published
- 2026-10-13
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26206486,
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},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26206486},
url = {https://doi.org/10.3390/s26206486}
}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 JO - Sensors DO - 10.3390/s26206486 UR - https://doi.org/10.3390/s26206486 ER -
APA
Powarzyński, D., Sigiel, N., Cirocki, A., & Toporek, M. (2026). Comparative Evaluation of Deep Object Detection Architectures for Automatic Target Recognition in Real-World AUV-Acquired Side-Scan Sonar Imagery. Sensors. https://doi.org/10.3390/s26206486
Source records
- crossref · retrieved 2026-11-09T09:34:10.455Z