Deep 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. https://www.roneverhart.com/Liftmaster-K1D8387-1CC-Expansion-Circuit-Board/
Boosting Lightweight CNNs Through Network Pruning and Knowledge Distillation for SAR Target Recognition
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