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Defect Detection

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Showing 326–350 of 394 papers

TitleStatusHype
Scalable AI Framework for Defect Detection in Metal Additive Manufacturing—0
Screw defect detection system based on AI image recognition technology—0
An Insight into Security Code Review with LLMs: Capabilities, Obstacles, and Influential Factors—0
Segment Anything in Defect Detection—0
Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection—0
Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control—0
Self-Supervised Learning for Identifying Defects in Sewer Footage—0
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization—0
Semantic Communications With AI Tasks—0
Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection—0
SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image—0
Semiconductor Wafer Map Defect Classification with Tiny Vision Transformers—0
Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing—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
Statistical Batch-Based Bearing Fault Detection—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
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