Improved YOLOv8n-based aircraft skin defect detection method in complex environments
A lightweight and enhanced YOLOv8n-based algorithm, replacing the original C2f structure with the new C2fGhost module to reduce the floating-point operation volume during the feature channel fusion process, and the AOM (Attention Occlusion Mechanism) is introduced to enhance feature extraction in complex environments.