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It is difficult to identify the ship images obtained by a synthetic aperture radar (SAR) due to the influence of dense ships, complex background and small target size, so a deep learning-based target detection algorithm was introduced to obtain better detection performance. However, in order to achieve excellent performance, most of the current target detection algorithms focus on building deep and high-width neural networks, resulting in bloated network structure and reduced detection speed,doi:10.3390/s22093447 pmid:35591135 pmcid:PMC9101316 fatcat:uze2oavbfffzbpw5ri4yioeazy