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ARTICLE

Broad Federated Meta-Learning of Damaged Objects in Aerial Videos

Zekai Li1, Wenfeng Wang2,3,4,5,6,*

1 School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an, 710049, China
2 Research Institute of Intelligent Engineering and Data Applications, Shanghai Institute of Technology, Shanghai, 201418, China
3 Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, 830011, China
4 Applied Nonlinear Science Lab, Anand International College of Engineering, Jaipur, 391320, India
5 Department of Visual Engineering, International Academy of Visual Art and Engineering, London, CR2 6EQ, UK
6 Institute of Intelligent Management and Technology, Sino-Indian Joint Research Center of AI and Robotics, Bhubaneswar, 752054, India

* Corresponding Author: Wenfeng Wang. Email: email

TSP_CMES_28670.pdf

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