AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The YOLOv12 network is adopted as the baseline model and the ADown module is introduced to improve downsampling efficiency while maintaining lightweight performance, and the BN-CGLU is incorporated into the A2C2f module to enhance the model’s nonlinear representation capability.
This study presents SEII-YOLO, a lightweight architecture optimized based on the YOLOv11n framework, which achieves notable performance gains—particularly in distinguishing similar-looking equipment—while reducing parameters by 8.96% and computational load by 3.17%.
The mixing stage of automotive battery production requires reliable monitoring of raw material types, personnel actions, and correct tool use. However, accurate multi-scale object detection in complex scenes remains challenging because of background interference and the requirements of embedded deployment and real-time...
A lightweight YOLOv11-based foreign object detector is designed, using StarNet to reconstruct the backbone, reducing redundant parameters and computational cost, and SDIoU is introduced for bounding box regression, which improves the localization of multi-scale targets.
A lightweight detection algorithm named GCW-YOLOv8, which improves detection accuracy by 1.4% while reducing parameter count by 34.4%, achieving a superior balance between accuracy and efficiency for smart construction site applications.
A YOLO11n-based traffic light detection algorithm, named YOLO11n-PRE, which replaces the original C3k2 module in the backbone network with the C3k2-RCB module, which enhances deep feature extraction capability while maintaining lightweight via efficient residual connection and feature recalibration mechanism.
Aircraft skin defect detection often suffers from low detection accuracy due to variations in lighting, shadows, and complex backgrounds. To address this, this study proposes a lightweight and enhanced YOLOv8n-based algorithm. Firstly, the original C2f structure is replaced by the new C2fGhost module to reduce the floa...
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