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 ...

NOLOcam is a sophisticated Go-based system for tracking and monitoring objects using PTZ cameras with YOLO object detection. Unlike YOLO's "You Only Look Once" approach, NOLOcam continuously tracks ...

Abstract: To address the challenges of small object detection in UAV aerial imagery, including low pixel resolution, lighting variations, and dense target distribution, we propose Air-YOLO. The model ...

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 ...