信息与控制2025，Vol.54Issue(2)：336-352,17.DOI:10.13976/j.cnki.xk.2024.4008
FCDN:一种新的多重注意力机制的轻量化红外弱小目标检测算法
FCDN:A New Lightweight Infrared Small and Weak Target Detection Algorithm with Multiple Attention Mechanism
摘要
Abstract
In response to the shortcomings of traditional object detection frameworks in detecting weak infrared targets,such as low recall and large model parameters,a new lightweight infrared weak target detection algorithm,FCDN,is proposed with multiple attention mechanisms.Firstly,a lightweight network structure is proposed to reduce the loss of target information during the informa-tion flow transmission process.Secondly,a lightweight upsampling operator is used during the up-sampling process to obtain a larger receptive field and improve the recall rate.Thirdly,detection heads is adopted with multiple attention mechanisms again to focus more on small target information from different levels for target regression and recognition.Finally,a new loss function is applied,which uses the maximum similarity bounding box metric to characterize the similarity between the real box and the predicted box.Experimental results show that on the infrared weak target detec-tion dataset under complex backgrounds in comparison with the benchmark model YOLOv5,the accuracy reaches 99.4%,the recall rate increases by5%,reaching94.7%,the mAP50 increases by 4.3%,reaching 97.8%,and the parameter quantity is reduced by about 42%compared to o-riginal basic model.The model size is compressed to 8.66 MB.The detection results show that the proposed algorithm can meet the future detection needs of infrared weak targets,which has impor-tant value and reference significance for practical applications such as infrared tracking,early warning reconnaissance,missile guidance,etc.关键词
目标检测/注意力机制/YOLOv5/红外跟踪Key words
target detection/attention mechanism/YOLOv5/infrared tracking分类
信息技术与安全科学引用本文复制引用
王国刚,肖峰,刘云鹏..FCDN:一种新的多重注意力机制的轻量化红外弱小目标检测算法[J].信息与控制,2025,54(2):336-352,17.基金项目
辽宁省教育厅高等学校基本科研项目(重点项目)(LJKZ0442) （重点项目）
