(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.
(2024): Introduces the "UDMDet" framework designed to identify objects that are concealed or have profiles similar to their surroundings. (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)
: 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)
: Explores detecting underwater objects by their magnetic signatures (e.g., iron content) rather than just visual or acoustic means.