Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...
Abstract: Small object detection in drone-captured imagery presents critical challenges across environmental monitoring, urban planning, and disaster management. Current approaches struggle with ...
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 ...
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