Papers Defect Detection
“Defect Detection” 태그가 달린 논문 394편 · 필터 해제
A Hybrid Framework for Statistical Feature Selection and Image-Based Noise-Defect Detection
In industrial imaging, accurately detecting and distinguishing surface defects from noise is critical and challenging, particularly in complex environments with noisy data. This paper presents a hybrid framework that int…
Defect Detectionfeature selectionThermal and RGB Images Work Better Together in Wind Turbine Damage Detection
The inspection of wind turbine blades (WTBs) is crucial for ensuring their structural integrity and operational efficiency. Traditional inspection methods can be dangerous and inefficient, prompting the use of unmanned a…
Defect Detectionobject-detectionObject DetectionHyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection
In the manufacturing industry, defect detection is an essential but challenging task aiming to detect defects generated in the process of production. Though traditional YOLO models presents a good performance in defect d…
Defect Detection2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts
X-ray computed tomography (XCT) is a key tool in non-destructive evaluation of additively manufactured (AM) parts, allowing for internal inspection and defect detection. Despite its widespread use, obtaining high-resolut…
Computational EfficiencyDefect DetectionSuper-ResolutionFab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection
Effective defect detection is critical for ensuring the quality, functionality, and economic value of textile products. However, existing methods face challenges in achieving high accuracy, real-time performance, and eff…
Defect DetectionTransmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining
Unmanned aerial vehicle (UAV) patrol inspection has emerged as a predominant approach in transmission line monitoring owing to its cost-effectiveness. Detecting defects in transmission lines is a critical task during UAV…
Defect DetectionTransfer LearningIn-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers
Directed Energy Deposition (DED) offers significant potential for manufacturing complex and multi-material parts. However, internal defects such as porosity and cracks can compromise mechanical properties and overall per…
Defect DetectionSelf-Supervised LearningTransfer LearningWafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network
In semiconductor manufacturing, wafer defect maps (WDMs) play a crucial role in diagnosing issues and enhancing process yields by revealing critical defect patterns. However, accurately categorizing WDM defects presents …
ClassificationData AugmentationDefect DetectionDiversity3-DUSSS: 3-Dimensional Ultrasonic Self Supervised Segmentation
This study introduces a novel self-supervised learning approach for volumetric segmentation of defect indications captured by phased array ultrasonic testing data from Carbon Fiber Reinforced Polymers (CFRPs). By employi…
Defect DetectionSelf-Supervised LearningPV-faultNet: Optimized CNN Architecture to detect defects resulting efficient PV production
The global shift towards renewable energy has pushed PV cell manufacturing as a pivotal point as they are the fundamental building block of green energy. However, the manufacturing process is complex enough to lose its p…
Data AugmentationDefect DetectionScalable AI Framework for Defect Detection in Metal Additive Manufacturing
Additive Manufacturing (AM) is transforming the manufacturing sector by enabling efficient production of intricately designed products and small-batch components. However, metal parts produced via AM can include flaws th…
Defect DetectionDenoisingSynthetic Data GenerationAutomated Defect Detection and Grading of Piarom Dates Using Deep Learning
Grading and quality control of Piarom dates, a premium and high-value variety cultivated predominantly in Iran, present significant challenges due to the complexity and variability of defects, as well as the absence of s…
Computational EfficiencyDefect Detectionobject-detectionObject DetectionYOLO-ELA: Efficient Local Attention Modeling for High-Performance Real-Time Insulator Defect Detection
Existing detection methods for insulator defect identification from unmanned aerial vehicles (UAV) struggle with complex background scenes and small objects, leading to suboptimal accuracy and a high number of false posi…
Data AugmentationDefect DetectionDiversityInsulator Defect Detection+3Integrating Artificial Intelligence Models and Synthetic Image Data for Enhanced Asset Inspection and Defect Identification
In the past utilities relied on in-field inspections to identify asset defects. Recently, utilities have started using drone-based inspections to enhance the field-inspection process. We consider a vast repository of dro…
2kDefect DetectionCBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer with Block Level CBAM Enhancement
Under high-intensity rail operations, rail tracks endure considerable stresses resulting in various defects such as corrugation and spellings. Failure to effectively detect defects and provide maintenance in time would c…
Defect DetectionSparse Modelling for Feature Learning in High Dimensional Data
This paper presents an innovative approach to dimensionality reduction and feature extraction in high-dimensional datasets, with a specific application focus on wood surface defect detection. The proposed framework integ…
Anomaly DetectionDefect DetectionDimensionality Reductionfeature selectionXAI-guided Insulator Anomaly Detection for Imbalanced Datasets
Power grids serve as a vital component in numerous industries, seamlessly delivering electrical energy to industrial processes and technologies, making their safe and reliable operation indispensable. However, powerlines…
Anomaly DetectionDefect DetectionFault Detectionobject-detection+1Machine learning approaches for automatic defect detection in photovoltaic systems
Solar photovoltaic (PV) modules are prone to damage during manufacturing, installation and operation which reduces their power conversion efficiency. This diminishes their positive environmental impact over the lifecycle…
Data AugmentationDeep LearningDefect DetectionGenerative Adversarial NetworkCycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation
Industrial defect detection traditionally relies on supervised learning models trained on fixed datasets of known defect types. While effective within a closed set, these models struggle with new, unseen defects, necessi…
Defect DetectionVisual PromptingEnhancing Printed Circuit Board Defect Detection through Ensemble Learning
The quality control of printed circuit boards (PCBs) is paramount in advancing electronic device technology. While numerous machine learning methodologies have been utilized to augment defect detection efficiency and acc…
Defect DetectionEnsemble Learning