AI RESEARCH
QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing
arXiv CS.AI
•
ArXi:2604.26435v1 Announce Type: cross The rapid advancement of object detection architectures has positioned single stage detectors as the dominant solution for real-time visual perception. A primary source of computational overhead in these models lies in the deep backbone stages, where C2f bottleneck modules at high stride levels accumulate a disproportionate share of parameters due to quadratic scaling with channel width. This work