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...
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 ...
一种基于PConv-YOLOv7的路面病害检测方法 喜欢 0 阅读量: 33 申请(专利)号: 202310840520 申请(专利权)人: 临沂大学 发明人:潘广源,白志远,崔亚巍,魏浩 收藏 引用 批量引用 报错 分享 全部来源 求助全文 cprs.patentstar.com.cn 相似文献研究点推荐 路面病害检测 站内活动 ...
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...