Embedded underwater vision systems require real-time object detection that remains reliable in the face of turbidity, color attenuation, low contrast, weak boundaries, and cluttered backgrounds. In real-time detection transformer (RT-DETR)-style detectors, these degradations affect the ranking and selection of encoder candidates used to initialize decoder queries. This study proposes a degradation-aware query reliability resto...

The accelerated decline of Arctic sea ice is profoundly reshaping regional climate regimes. Sea ice thickness (SIT), particularly under thin-ice conditions, is an important indicator for assessing early-season Arctic sea ice variability, and accurate prediction of its spatiotemporal evolution during the early freezing period is essential for characterizing short-term sea ice changes. In recent years, deep learning has emerged...