Abstract:Ship target detection at sea has important strategic significance in military activities, maritime security, and other aspects. Traditional image processing algorithms struggle to capture the various scales of ship features. In this paper, we propose an algorithm for ship target detection based on CBAM-YOLOv8. Firstly, spatial-to-depth convolution is used in the model's downsampling section instead of cross-stride convolution to improve feature utilization. Secondly, the CBAM (Convolutional Block Attention Mod… Show more
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