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    • Complementary multi-type prompts for weakly-supervised temporal action location

    • In the field of action localization, researchers have proposed a multi type prompt complementary model that improves the accuracy of action localization by utilizing the complementarity of textual prompt information.
    • Vol. 30, Issue 3, Pages: 842-854(2025)   

      Received:26 June 2024

      Revised:04 September 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240354     

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  • Ren Xiaolong, Zhang Feifei, Zhou Wanting, Zhou Ling. 2025. Complementary multi-type prompts for weakly-supervised temporal action location. Journal of Image and Graphics, 30(03):0842-0854 DOI: 10.11834/jig.240354.
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Zhou Wanting 天津理工大学计算机科学与工程学院
Zhou Ling 天津理工大学计算机科学与工程学院

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