Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...
Abstract: To address the issues of missed detections and incorrect detections in UAV aerial imagery target detection caused by complex backgrounds, dense targets, and an abundance of small objects. An ...
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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