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Defect Detection

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Showing 326–350 of 394 papers

TitleStatusHype
YOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection—0
YOLO-FDA: Integrating Hierarchical Attention and Detail Enhancement for Surface Defect Detection—0
YOLO Network For Defect Detection In Optical lenses—0
SIGAN: A Novel Image Generation Method for Solar Cell Defect Segmentation and Augmentation—0
Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing—0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications—0
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network—0
Source-Free Test-Time Adaptation For Online Surface-Defect Detection—0
Sparse Modelling for Feature Learning in High Dimensional Data—0
SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection—0
A 2D Sinogram-Based Approach to Defect Localization in Computed Tomography—0
Statistical Batch-Based Bearing Fault Detection—0
YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images—0
Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling—0
Structured light dark-field microscope—0
Superpixel perception graph neural network for intelligent defect detection of aero-engine blade—0
Surface Defect Classification in Real-Time Using Convolutional Neural Networks—0
Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning—0
Surface Defect Identification using Bayesian Filtering on a 3D Mesh—0
YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach—0
Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics—0
Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection—0
Synthetic training data generation for deep learning based quality inspection—0
Taguchi based Design of Sequential Convolution Neural Network for Classification of Defective Fasteners—0
TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix Low-volume Production of Non-convex Cylindrical Metal Objects—0
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