计算机应用与软件2024，Vol.41Issue(12)：268-274,7.DOI:10.3969/j.issn.1000-386x.2024.12.038
考虑注意力的无锚框孪生网络目标跟踪算法
SIAMESE NETWORK OBJECT TRACKING BASED ON ANCHOR FREE CONSIDERING ATTENTION
摘要
Abstract
Siamese network is an important method for visual object tracking.SiamDW uses RPN to locate the object,which needs to preset more hyperparameters such as height-width ratio of anchors.It is tedious and a bit inaccurate.To address this issue,this paper proposes a Siamese visual object tracking algorithm based on anchor free considering channel attention.On the basis of SiamDW,this method introduced DenseNet with no padding to extract object's feature,and added channel attention module in channel concatenation to improve the feature representation.A rectangular range method was used to discriminate positive and negative samples.Results show that compared with baseline(SiamDW),the AUC of our method was increased by 3 and 6 percentage points on VOT2016 and VOT2018 datasets respectively.关键词
孪生网络/目标跟踪/无锚框设计/无填充/通道注意力Key words
Siamese network/Object tracking/Anchor free/No padding/Channel attention分类
信息技术与安全科学引用本文复制引用
孙仕棚,兰时勇..考虑注意力的无锚框孪生网络目标跟踪算法[J].计算机应用与软件,2024,41(12):268-274,7.基金项目
四川省科技厅重点研发项目(2021YFG0300) （2021YFG0300）
视觉合成图形图像技术国防重点学科实验室开放研究项目. （）
