Surface Defect Detection Model for Aero-Engine Components Based on Improved YOLOv5

Intelligent System for Estimation of the Spatial Position of Apples Based on YOLOv3 and Real Sense Depth Camera D415

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Deep learning-based borescope image processing for aero-engine blade in-situ damage detection

(2022) Hongbing Shang et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Improvement of Lightweight Convolutional Neural Network Model Based on YOLO Algorithm and Its Research in Pavement Defect Detection

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Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks

(2022) N.A. Andriyanov et al.   Computer Optics

Improved edge lightweight YOLOv4 and its application in on-site power system work

(2022) Kexin Li et al.   Global Energy Interconnection

Development of a YOLO-V3-based model for detecting defects on steel strip surface

(2021) Xupeng Kou et al.   MEASUREMENT

A review on modern defect detection models using DCNNs – Deep convolutional neural networks

(2021) Andrei-Alexandru Tulbure et al.   Journal of Advanced Research

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A repair and overhaul methodology for aeroengine components

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