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: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...