Data availability
Our code has been shared at https://github.com/zengzhenhuan/GFNet.
Our code has been shared at https://github.com/zengzhenhuan/GFNet.
Chaodong Fan received his master...s degree and doctor’s degree from Hunan University in 2011 and 2014 respectively. Mainly engaged in intelligent computing, pattern recognition and intelligent systems, smart grid related fields. Some new intelligent optimization algorithms and image processing technologies, such as molecular dynamics optimization algorithm, spatial section projection histogram and postprocessing strategy based on threshold,are proposed. His research interests include artificial intelligence, image processing and model recognition.
Zhenhuan Zeng was born in 1995 in Changsha, Hunan Province, China. He is studying in Xiangtan University for his master...s degree. His main research interests are evolutionary algorithms, and computer vision.
Leyi Xiao was born in 1986 in Changde, Hunan, China. She graduated from Hunan University with a doctorate in engineering in 2020. Her research interest include image processing and model recognition, which relate to both the field of computer vision and pattern recognition.
Qu Xilong was born in January 1978, graduated from Southwest Jiaotong University with a doctor’s degree in 2006. His research interests include manufacturing informatization, distributed system integration technology, information security technology.
This work is supported by Hunan Provincial Natural Science Foundation of China (No. 2020JJ4587), Guangdong Basic and Applied Basic Research Foundation (No. 2019A1515110423), Degree & Postgraduate Education Reform Project of Hunan Province (No. 2019JGYB115), Scientific Research Project of Hunan Provincial Department of Education (No. 21C0922), Open Fund Project of Fujian Provincial Key Laboratory of Data Intensive Computing (No. BD202004), Open Research Fund of AnHui Key Laboratory of Detection Technology and Energy Saving Devices (No. JCKJ2021B05), Open Fund Project of Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province (No. QCCK2021-006).