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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:17 June 2024

      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
Liu Bing 中国矿业大学计算机科学与技术学院;矿山数字化教育部工程研究中心
Shi Weifeng 中国矿业大学计算机科学与技术学院;矿山数字化教育部工程研究中心
Liu Mingming 中国矿业大学计算机科学与技术学院;矿山数字化教育部工程研究中心
Zhou Yong 中国矿业大学计算机科学与技术学院;矿山数字化教育部工程研究中心

相关机构

School of Computer Science, Nanjing University of Information Science and Technology
School of Computer Science and Technology, China University of Mining and Technology
Mine Digitization Engineering Research Center of the Ministry of Education
China University of Mining and Technology Internet of Things Center
School of Electronics and Information Engineering, Liaoning Technical University
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