重庆邮电大学教师主页周应华--中文主页-- YOLO-SSL: A Lightweight and High-Precision Model for UAV-Based Power Transmission Line Defect Detection

周应华 ( 副教授 ) 赞
的个人主页 http://faculty.cqupt.edu.cn/zhouyh/zh_CN/index.htm
副教授硕士生导师

论文成果当前位置: 中文主页 >> 科学研究 >> 论文成果

YOLO-SSL: A Lightweight and High-Precision Model for UAV-Based Power Transmission Line Defect Detection

点击次数：
是否译文：否
收录刊物：EI

上一条： Point Cloud Segmentation Using Multi-scale and Center-Aligned Cylindrical Voxel Features

下一条： YOLv5s-DDC: A Rapid Detection Network for Strip Steel Surface Defects Based on Deformable Convolution with Coordinate Attention and Distribution Shifting Convolution