Papers Defect Detection
“Defect Detection” 태그가 달린 논문 394편 · 필터 해제
Improved YOLOv7 model for insulator defect detection
Insulators are crucial insulation components and structural supports in power grids, playing a vital role in the transmission lines. Due to temperature fluctuations, internal stress, or damage from hail, insulators are p…
Defect DetectionInsulator Defect DetectionmodelYOLO Network For Defect Detection In Optical lenses
Mass-produced optical lenses often exhibit defects that alter their scattering properties and compromise quality standards. Manual inspection is usually adopted to detect defects, but it is not recommended due to low acc…
Defect DetectionAn Appearance Defect Detection Method for Cigarettes Based on C-CenterNet
Due to the poor adaptability of traditional methods in the cigarette detection task on the automatic cigarette production line, it is difficult to accurately identify whether a cigarette has defects and the types of defe…
Defect DetectionKeypoint EstimationTerahertz Defect Detection in Multi-Layer Materials Using Echo Labeling
Non-destructive testing is an important technique for detecting defects in multi-layer materials, enabling the evaluation of structural integrity without causing damage on test materials. Terahertz time-domain spectrosco…
Defect DetectionSPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection
Defect detection in fabrics is critical for quality control, yet existing methods often struggle with complex backgrounds and shape-specific defects. In this paper, we propose an improved fabric defect detection model ba…
Defect DetectionSurface Defect Identification using Bayesian Filtering on a 3D Mesh
This paper presents a CAD-based approach for automated surface defect detection. We leverage the a-priori knowledge embedded in a CAD model and integrate it with point cloud data acquired from commercially available ster…
Defect DetectionHigh-Precision Fabric Defect Detection via Adaptive Shape Convolutions and Large Kernel Spatial Modeling
Detecting fabric defects in the textile industry remains a challenging task due to the diverse and complex nature of defect patterns. Traditional methods often suffer from slow inference speeds, limited accuracy, and ina…
Defect DetectionEffective Defect Detection Using Instance Segmentation for NDI
Ultrasonic testing is a common Non-Destructive Inspection (NDI) method used in aerospace manufacturing. However, the complexity and size of the ultrasonic scans make it challenging to identify defects through visual insp…
Defect DetectionInstance SegmentationSemantic SegmentationHuman-AI Collaborative Game Testing with Vision Language Models
As modern video games become increasingly complex, traditional manual testing methods are proving costly and inefficient, limiting the ability to ensure high-quality game experiences. While advancements in Artificial Int…
Defect DetectionPatch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Unsupervised visual defect detection is critical in industrial applications, requiring a representation space that captures normal data features while detecting deviations. Achieving a balance between expressiveness and …
Defect DetectionPredicting Performance of Object Detection Models in Electron Microscopy Using Random Forests
Quantifying prediction uncertainty when applying object detection models to new, unlabeled datasets is critical in applied machine learning. This study introduces an approach to estimate the performance of deep learning-…
Defect DetectionObjectobject-detectionObject DetectionDefect Detection Network In PCB Circuit Devices Based on GAN Enhanced YOLOv11
This study proposes an advanced method for surface defect detection in printed circuit boards (PCBs) using an improved YOLOv11 model enhanced with a generative adversarial network (GAN). The approach focuses on identifyi…
Data AugmentationDefect DetectionGenerative Adversarial NetworkWavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection
As an important part of intelligent manufacturing, pixel-level surface defect detection (SDD) aims to locate defect areas through mask prediction. Previous methods adopt the image-independent static convolution to in…
Defect DetectionGUI Testing Arena: A Unified Benchmark for Advancing Autonomous GUI Testing Agent
Nowadays, research on GUI agents is a hot topic in the AI community. However, current research focuses on GUI task automation, limiting the scope of applications in various GUI scenarios. In this paper, we propose a form…
Defect DetectionAdaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs
This pilot study presents a novel, automated, and scalable methodology for detecting and evaluating subsurface defect-prone regions in concrete slabs using Impact Echo (IE) signal analysis. The approach integrates advanc…
Defect DetectionSensor FusionA Multimodal Fusion Framework for Bridge Defect Detection with Cross-Verification
This paper presents a pilot study introducing a multimodal fusion framework for the detection and analysis of bridge defects, integrating Non-Destructive Evaluation (NDE) techniques with advanced image processing to enab…
Defect DetectionDetecting and Classifying Defective Products in Images Using YOLO
With the continuous advancement of industrial automation, product quality inspection has become increasingly important in the manufacturing process. Traditional inspection methods, which often rely on manual checks or si…
Defect DetectionDeep Reinforcement Learning Based Systems for Safety Critical Applications in Aerospace
Recent advancements in artificial intelligence (AI) applications within aerospace have demonstrated substantial growth, particularly in the context of control systems. As High Performance Computing (HPC) platforms contin…
Deep Reinforcement LearningDefect DetectionFault DetectionDefFiller: Mask-Conditioned Diffusion for Salient Steel Surface Defect Generation
Current saliency-based defect detection methods show promise in industrial settings, but the unpredictability of defects in steel production environments complicates dataset creation, hampering model performance. Existin…
Data AugmentationDefect DetectionDistributed Intelligent System Architecture for UAV-Assisted Monitoring of Wind Energy Infrastructure
With the rapid development of green energy, the efficiency and reliability of wind turbines are key to sustainable renewable energy production. For that reason, this paper presents a novel intelligent system architecture…
Defect Detection