Chongqing 2D Materials Institute (China)

An Enhanced YOLOv8 Algorithm with C2f_Parnet for Vehicle and Pedestrian Detection

This paper proposes enhancements to the YOLOv8s model for autonomous driving object detection tasks. Firstly, a C2f Parnet module is designed based on the Parnet parallel network architecture to reduce network depth and computational latency. Secondly, GSConv is modified by emplo...