(2024): This paper improves deep learning models (DETR) to better detect underwater targets in noisy and blurred environments, specifically testing on categories like fish and divers.
: Discusses the use of sonar imagery to categorize seabed objects into specific "mine-like" or "non-mine-like" categories for countermeasures. (2024): This paper improves deep learning models (DETR)
(2021): Focuses on using CNNs to estimate the distance of an underwater source, which is critical for tracking moving targets. Underwater Mine & Target Identification (2024): This paper improves deep learning models (DETR)
If you are looking for research related to (specifically the technology behind detecting or tracking underwater targets), the following academic papers cover related fields like underwater object detection and robotics: Underwater Object Detection & Tracking (2024): This paper improves deep learning models (DETR)
