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    • Combining dilated convolution and multiscale fusion temporal action detection

    • In the field of action detection, researchers have proposed an efficient spatiotemporal action detection model EAD, which improves real-time action detection accuracy by modeling global key information.
    • Vol. 30, Issue 2, Pages: 406-420(2025)   

      Received:22 February 2024

      Revised:2024-06-03

      Published:16 February 2025

    • DOI: 10.11834/jig.240098     

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  • Cheng Yong, Gao Yuanyuan, Wang Jun, Yang Ling, Xu Xiaolong, Cheng Yao, Zhang Kaihua. 2025. Combining dilated convolution and multiscale fusion temporal action detection. Journal of Image and Graphics, 30(02):0406-0420 DOI: 10.11834/jig.240098.
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相关作者

Hao Wen 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Zuo Zhanbin 西安理工大学计算机科学与工程学院
Lu Hansen 西安理工大学计算机科学与工程学院
Liang Wei 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Jin Haiyan 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Shi Zhenghao 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Wang Zhengbao 西北工业大学计算机学院
Zeng Zhenxuan 西北工业大学计算机学院

相关机构

Department of Computer Science,Xi’an University of Technology
Shaanxi Key Laboratory for Network Computing and Security Technology
School of Computer Science,Northwestern Polytechnical University
China Mobile Research Institute
Vehicle Engineering College, Dalian Jiaotong University
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