To address this challenge, this paper proposes a lightweight YOLOv7 method based on PConv, Squeeze-and-Excitation (SE) attention mechanism and Wise-IoU (WIoU), which we refer to as YOLOv7-PSW. PConv can effectively reduce the number of parameters and computational complexity. The SE can ...
Keywords: Object detection YOLOv7 PConv SE attention Wise-IoU 1. Introduction As an important task in computer vision, object detection is widely used in face recognition, pedestrian detection, vehicle recognition, and other fields. However, due to the limitation of computing resources and real-tim...
Different PConv introduction locations on the base module have been used in order to find the optimal approach for reducing the parameters and floating point of operations (FLOPs). Meanwhile, the dynamic head (DyHead) module is utilized to enhance the attention mechanism for the Y...