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Ruiyang Cheng

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Conference Aug 2026

A UFOAttention-YOLOv11-Based Method for Surface Defect Detection of Wind Turbine Blades in Complex Inspection Scenarios

In wind turbine blade inspection images, defects such as cracks, dirt and peeling often have small scales, weak boundaries, low contrast and obvious background texture interference. The original YOLOv11 is still unstable in recognizing such weak-feature defects. In this paper, a UFOAttention module is introduced after...

Xiao-Dong Guo, Ruiyang Cheng, Hong Chang et al. · 0 citations

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