Abstract: Underwater object detection is critical for applications, such as environmental monitoring, resource exploration, and the navigation of autonomous underwater vehicles. However, accurately ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Abstract: Objects in remote sensing images exhibit diverse orientations. Current oriented object detection (OOD) methods estimate the object angle by designing different loss functions and bounding ...
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