中南大学汤哲

当前位置: 中文主页 >> 论文成果

An improved lightweight and real time YOLOv5 network for detection of surface defects on indocalamus leaves

发布时间：2025-10-28

点击次数：

发表刊物：Journal of Real-Time Image Processing

第一作者：Zhe Tang, Lin Zhou, Fang Qi, Huarong Chen

是否译文：否

上一条： LitePest: Real-Time and Efficient Detection of Agricultural Pests Using an Advanced Lightweight Deep Learning Network

下一条： Improved Pest-YOLO: Real-time pest detection based on efficient channel attention mechanism and transformer encoder