AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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YOLOv11 with iEMA attention and ADown downsampling for lightweight road crack detection
An improved lightweight YOLOv11-based model that integrates three complementary modules for road crack detection is proposed that integrates an improved efficient multi-scale attention (iEMA) module embedded at the shallow high-resolution feature layer (P3) and the Quality Focal Loss (QFL) function is adopted to resolv...