Abstract: To address core challenges in synthetic aperture radar (SAR) image target detection, including complex background interference, weak small-target features, and multiscale target coexistence, ...
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: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
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