(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.
: Explores detecting underwater objects by their magnetic signatures (e.g., iron content) rather than just visual or acoustic means. (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. (2021): Focuses on using CNNs to estimate the
The second part of your query, and/**/cast(md5('1288398601')as/**/int)>0 , appears to be a common syntax pattern used in rather than a genuine request for academic papers. This specific string is often used to test if a database will execute a mathematical cast on an MD5 hash. The second part of your query
(2024): Introduces the "UDMDet" framework designed to identify objects that are concealed or have profiles similar to their surroundings.
(2021): Focuses on using CNNs to estimate the distance of an underwater source, which is critical for tracking moving targets. Underwater Mine & Target Identification