Synthetic Aperture Radar (SAR) is a vital technology for ship detection due to its ability to capture high-resolution remote sensing images. However, traditional detection methods often suffer from false alarms and missed detections. Additionally, many current approaches prioritize detection accuracy while overlooking model size. To address these challenges, this paper proposes BESW-YOLO, a lightweight multi-scale ship detection model built upon the YOLOv8n architecture. Firstly, we introduce a novel lightweight feature pyramid network, Bidirectional and Multi-scale Attention Feature Pyramid N...
