Boosting Lightweight CNNs Through Network Pruning and Knowledge Distillation for SAR Target Recognition
Deep Food Items convolutional neural networks (CNNs) have yielded unusually brilliant results in synthetic aperture radar (SAR) target recognition.However, overparameterization is a widely-recognized property of deep CNNs, and most previous works excessively pursued high accuracy but neglected the requirement of model deployment in radar systems, i