QYOLO replaces deep YOLO backbone C2f modules with a shared sinusoidal quantum-inspired mixer, reducing parameters by 20% and GFLOPs by 12% with under 0.5 pp mAP drop on VisDrone2019.
A compression framework for YOLOv8 enabling real-time aerial object detection on edge devices through structured pruning
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QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing
QYOLO replaces deep YOLO backbone C2f modules with a shared sinusoidal quantum-inspired mixer, reducing parameters by 20% and GFLOPs by 12% with under 0.5 pp mAP drop on VisDrone2019.