April 30, 2024, 4:43 a.m. | Thomas Guerneve, Stephanos Loizou, Andrea Munafo, Pierre-Yves Mignotte

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.18663v1 Announce Type: cross
Abstract: The performance of Automated Recognition (ATR) algorithms on side-scan sonar imagery has shown to degrade rapidly when deployed on non benign environments. Complex seafloors and acoustic artefacts constitute distractors in the form of strong textural patterns, creating false detections or preventing detections of true objects. This paper presents two online seafloor characterisation techniques to improve explainability during Autonomous Underwater Vehicles (AUVs) missions. Importantly and as opposed to previous work in the domain, these techniques are …

abstract adaptability algorithms applications arxiv automated cs.cv cs.lg cs.ro cs.se environments form performance processing recognition sonar type

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