Papers Defect Detection
“Defect Detection” 태그가 달린 논문 394편 · 필터 해제
Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development
Anomaly detection is a crucial process in industrial manufacturing and has made significant advancements recently. However, there is a large variance between the data used in the development and the data collected by the…
Anomaly DetectionDefect DetectionUnsupervised Anomaly DetectionScanning Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review
In this review, automatic defect inspection algorithms that analyze Scanning Electron Microscopy (SEM) images for Semiconductor Manufacturing (SM) are identified, categorized, and discussed. This is a topic of critical i…
Defect DetectionDDNet: Deformable Convolution and Dense FPN for Surface Defect Detection in Recycled Books
Recycled and recirculated books, such as ancient texts and reused textbooks, hold significant value in the second-hand goods market, with their worth largely dependent on surface preservation. However, accurately assessi…
Defect DetectionAdvancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes
In this research, we introduce a unified end-to-end Automated Defect Classification-Detection-Segmentation (ADCDS) framework for classifying, detecting, and segmenting multiple instances of semiconductor defects for adva…
Box-supervised Instance SegmentationDefect DetectionInstance SegmentationSegmentation+1Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection
High-precision surface defect detection in manufacturing is essential for ensuring quality control. Laser triangulation profilometric sensors are key to this process, providing detailed and accurate surface measurements …
Defect DetectionReinforcement Learning (RL)Trajectory PlanningThe Role of Artificial Intelligence and Machine Learning in Software Testing
Artificial Intelligence (AI) and Machine Learning (ML) have significantly impacted various industries, including software development. Software testing, a crucial part of the software development lifecycle (SDLC), ensure…
Defect Detectionsoftware testingUnsupervised Welding Defect Detection Using Audio And Video
In this work we explore the application of AI to robotic welding. Robotic welding is a widely used technology in many industries, but robots currently do not have the capability to detect welding defects which get introd…
Defect DetectionSelf-Supervised Learning for Identifying Defects in Sewer Footage
Sewerage infrastructure is among the most expensive modern investments requiring time-intensive manual inspections by qualified personnel. Our study addresses the need for automated solutions without relying on large amo…
Defect DetectionSelf-Supervised LearningChange-Aware Siamese Network for Surface Defects Segmentation under Complex Background
Despite the eye-catching breakthroughs achieved by deep visual networks in detecting region-level surface defects, the challenge of high-quality pixel-wise defect detection remains due to diverse defect appearances and d…
Change DetectionDecoderDefect DetectionSegmentation+1A Lightweight Insulator Defect Detection Model Based on Drone Images
With the continuous development and construction of new power systems, using drones to inspect the condition of transmission line insulators has become an inevitable trend. To facilitate the deployment of drone hardware …
Defect DetectionInsulator Defect DetectionObject DetectionSmall Object DetectionBring the Power of Diffusion Model to Defect Detection
Due to the high complexity and technical requirements of industrial production processes, surface defects will inevitably appear, which seriously affects the quality of products. Although existing lightweight detection n…
Defect DetectionDenoisingKnowledge DistillationUnlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code
This work investigates the application of Machine Unlearning (MU) for mitigating the impact of trojans embedded in conventional large language models of natural language (Text-LLMs) and large language models of code (Cod…
Defect DetectionMachine UnlearningSentiment AnalysisSelf-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
This study introduces the Iterative Refinement Process (IRP), a robust anomaly detection methodology designed for high-stakes industrial quality control. The IRP enhances defect detection accuracy through a cyclic data r…
Anomaly DetectionDefect DetectionSelf-Supervised Anomaly DetectionIrregularity Inspection using Neural Radiance Field
With the increasing growth of industrialization, more and more industries are relying on machine automation for production. However, defect detection in large-scale production machinery is becoming increasingly important…
Defect DetectionNeRFImbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network
Imbalanced datasets are a significant challenge in real-world scenarios. They lead to models that underperform on underrepresented classes, which is a critical issue in infrastructure inspection. This paper introduces th…
Data AugmentationDefect DetectionSegmentationSemantic SegmentationIDD-YOLOv5: A Lightweight Insulator Defect Real-time Detection Algorithm
In order to achieve real-time detection of insulator defects in transmission lines, this paper proposes an improved insulator defect detection algorithm based on the YOLOv5s model, named IDD-YOLOv5. Firstly, to enhance t…
Defect DetectionInsulator Defect DetectionObject DetectionSmall Object DetectionSource-Free Test-Time Adaptation For Online Surface-Defect Detection
Surface defect detection is significant in industrial production. However, detecting defects with varying textures and anomaly classes during the test time is challenging. This arises due to the differences in data distr…
Defect DetectionTest-time AdaptationLong working distance portable smartphone microscopy for metallic mesh defect detection
Metallic mesh is a transparent electromagnetic shielding film with a fine metal line structure. However, it can develop defects that affect the optoelectronic performance whether in the production preparation or in actua…
Defect DetectionAudio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Various machine learning (ML)-based in-situ monitoring systems have been developed to detect anomalies and defects in laser additive manufacturing (LAM) processes. While multimodal fusion, which integrates data from visu…
Anomaly DetectionDefect DetectionExplainable artificial intelligenceTransfer LearningEliminating Backdoors in Neural Code Models for Secure Code Understanding
Neural code models (NCMs) have been widely used to address various code understanding tasks, such as defect detection. However, numerous recent studies reveal that such models are vulnerable to backdoor attacks. Backdoor…
Autonomous Drivingbackdoor defenseClone DetectionDefect Detection