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This work was supported by the National Key Research and Development Program of China (2024YFB907500). Xiucheng Wang and Nan Cheng are with the State Key Laboratory of ISN and School of Telecommunications Engineering, Xidian University, Xi’an 710071, China (e-mail: xcwang_1@stu.xidian.edu.cn; dr.nan.cheng@ieee.org);(Corresponding author: Nan Cheng.)
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You can slash your interference recognition model size by 84% with minimal accuracy loss using this pruning and quantization aware multi-scale CNN.