Abstract: Aiming at the problem of insufficient detection accuracy for small target defects on steel surfaces, which often leads to missed detections and false alarms, this paper improves upon the ...
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 ...
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