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    • Efficient Transformer tracking for the edge end with linearly decomposed attention

    • In the field of target tracking, researchers have proposed LinDATrack algorithm, which effectively reduces the amount of computation and delay at the edge, and provides a new scheme for edge computing target tracking.
    • Vol. 30, Issue 2, Pages: 485-502(2025)   

      Received:07 April 2024

      Revised:2024-06-17

      Published:16 February 2025

    • DOI: 10.11834/jig.240192     

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  • Qiu Miaobo, Gao Jin, Lin Shubo, Li Liang, Wang Gang, Hu Weiming, Wang Yizheng. 2025. Efficient Transformer tracking for the edge end with linearly decomposed attention. Journal of Image and Graphics, 30(02):0485-0502 DOI: 10.11834/jig.240192.
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相关作者

Xu Han 南京信息工程大学计算机学院
Dong Shihao 南京信息工程大学计算机学院
Zhang Jiawei 南京信息工程大学计算机学院
Zheng Yuhui 南京信息工程大学计算机学院
Bai Xuefei 山西大学计算机与信息技术学院
Wang Yuanhui 山西大学计算机与信息技术学院
Xu Wenjie 山西大学计算机与信息技术学院
Jiang Gaoxia 山西大学计算机与信息技术学院

相关机构

School of Computer Science, Nanjing University of Information Science and Technology
School of Computer and Information Technology, Shanxi University
Key Laboratory of Computational Intelligence and Chinese Information Processing (Shanxi University), Ministry of Education
Jiangsu Provincial Postal Big Data Technology and Application Engineering Research Center,Nanjing University of Posts and Telecommunications
State Key Laboratory for Novel Software Technology,Nanjing University
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