IEEE

Small-Object Detection at the Edge: A Pareto-Efficient Benchmark of Lightweight YOLO Models on UAV and Overhead Datasets

Abstract: Small-object detection plays a critical role in real-time aerial, Unmanned Aerial Vehicle (UAV), and satellite vision systems, as well as many other domains, where hardware constraints and ...
IEEE

AHCO-YOLO: An Algorithm–Hardware Co-Optimization Framework for Energy-Efficient and Real-Time Object Detection on Edge Devices

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 ...
GitHub

NOLOcam - Never Only Look Once

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 ...