Papers Defect Detection
“Defect Detection” 태그가 달린 논문 394편 · 필터 해제
A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks
Steel wire ropes (SWRs) are critical load-bearing components in industrial applications, yet their structural integrity is often compromised by local flaws (LFs). Magnetic Flux Leakage (MFL) is a widely used non-destruct…
Computational EfficiencyDefect DetectionCFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection
Wood defect detection is critical for ensuring quality control in the wood processing industry. However, current industrial applications face two major challenges: traditional methods are costly, subjective, and labor-in…
Computational EfficiencyDefect Detectionobject-detectionObject Detection+1Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
Anomaly Detection (AD) involves identifying deviations from normal data distributions and is critical in fields such as medical diagnostics and industrial defect detection. Traditional AD methods typically require the av…
Anomaly DetectionAnomaly LocalizationDefect DetectionPrompt Learning+2ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation
Camouflaged object segmentation presents unique challenges compared to traditional segmentation tasks, primarily due to the high similarity in patterns and colors between camouflaged objects and their backgrounds. Effect…
Camouflaged Object SegmentationDefect DetectionLesion SegmentationOptical Flow Estimation+3Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark
Small Unmanned Aerial Vehicle (UAV) based visual inspections are a more efficient alternative to manual methods for examining civil structural defects, offering safe access to hazardous areas and significant cost savings…
Defect DetectionSemiconductor Wafer Map Defect Classification with Tiny Vision Transformers
Semiconductor wafer defect classification is critical for ensuring high precision and yield in manufacturing. Traditional CNN-based models often struggle with class imbalances and recognition of the multiple overlapping …
ClassificationDefect DetectionZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot Method
Camouflaged object segmentation presents unique challenges compared to traditional segmentation tasks, primarily due to the high similarity in patterns and colors between camouflaged objects and their backgrounds. Effect…
Camouflaged Object SegmentationDefect DetectionLesion SegmentationOptical Flow Estimation+3Semantic-Preserving Transformations as Mutation Operators: A Study on Their Effectiveness in Defect Detection
Recent advances in defect detection use language models. Existing works enhanced the training data to improve the models' robustness when applied to semantically identical code (i.e., predictions should be the same). How…
Defect DetectionMultimodal surface defect detection from wooden logs for sawing optimization
We propose a novel, good-quality, and less demanding method for detecting knots on the surface of wooden logs using multimodal data fusion. Knots are a primary factor affecting the quality of sawn timber, making their de…
Defect DetectionSmall Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications
Small object detection (SOD) is a critical yet challenging task in computer vision, with applications like spanning surveillance, autonomous systems, medical imaging, and remote sensing. Unlike larger objects, small obje…
ArticlesData AugmentationDefect DetectionDomain Adaptation+9EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Industrial Anomaly Detection (IAD) is critical to ensure product quality during manufacturing. Although existing zero-shot defect segmentation and detection methods have shown effectiveness, they cannot provide detailed …
Anomaly DetectionDefect DetectionQuestion AnsweringFully-Synthetic Training for Visual Quality Inspection in Automotive Production
Visual Quality Inspection plays a crucial role in modern manufacturing environments as it ensures customer safety and satisfaction. The introduction of Computer Vision (CV) has revolutionized visual quality inspection by…
Defect Detectionobject-detectionObject DetectionISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Automatic visual inspection using machine learning-based methods plays a key role in achieving zero-defect policies in industry. Research on anomaly detection approaches is constrained by the availability of datasets tha…
Anomaly DetectionDefect DetectionSelf-Supervised Anomaly DetectionSupervised Anomaly Detection+3AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates
Automated defect detection in industrial manufacturing is essential for maintaining product quality and minimizing production errors. In air disc brake manufacturing, ensuring the precision of laser-engraved nameplates i…
Anomaly DetectionDefect Detectionobject-detectionObject Detection+2Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection
Metal defect detection is critical in industrial quality assurance, yet existing methods struggle with grayscale variations and complex defect states, limiting its robustness. To address these challenges, this paper prop…
Defect DetectionManagementPA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
In industrial anomaly detection (IAD), accurately identifying defects amidst diverse anomalies and under varying imaging conditions remains a significant challenge. Traditional approaches often struggle with high false-p…
Anomaly DetectionDecision MakingDefect Detectionzero-shot anomaly detectionA Survey on Foundation-Model-Based Industrial Defect Detection
As industrial products become abundant and sophisticated, visual industrial defect detection receives much attention, including two-dimensional and three-dimensional visual feature modeling. Traditional methods use stati…
Defect DetectionSurveyZero-Shot LearningImproved YOLOv7x-Based Defect Detection Algorithm for Power Equipment
The normal operation of power equipment plays a critical role in the power system, making anomaly detection for power equipment highly significant. This paper proposes an improved YOLOv7x-based anomaly detection algorith…
Anomaly DetectionDefect DetectionLocal Flaw Detection with Adaptive Pyramid Image Fusion Across Spatial Sampling Resolution for SWRs
The inspection of local flaws (LFs) in Steel Wire Ropes (SWRs) is crucial for ensuring safety and reliability in various industries. Magnetic Flux Leakage (MFL) imaging is commonly used for non-destructive testing, but i…
Defect DetectionSEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
In the field of integrated circuit manufacturing, the detection and classification of nanoscale wafer defects are critical for subsequent root cause analysis and yield enhancement. The complex background patterns observe…
Defect DetectionFeature EngineeringFew-Shot LearningSegmentation