Papers Defect Detection
“Defect Detection” 태그가 달린 논문 394편 · 필터 해제
Surface Defect Saliency of Magnetic Tile
Vision-based detection on surface defects has long postulated in the magnetic tile automation process. In this work, we introduce a real-time and multi-module neural network model called MCuePush U-Net, specifically desi…
Anomaly DetectionDefect DetectionSaliency DetectionDetection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning
Quality control is a fundamental component of many manufacturing processes, especially those involving casting or welding. However, manual quality control procedures are often time-consuming and error-prone. In order to …
Defect Detectionimage-classificationImage ClassificationInstance Segmentation+3Combinatorial Testing for Deep Learning Systems
Deep learning (DL) has achieved remarkable progress over the past decade and been widely applied to many safety-critical applications. However, the robustness of DL systems recently receives great concerns, such as adver…
Deep LearningDefect DetectionDeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Deep learning (DL) defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data. We have seen wide adoption of DL in many safety-crit…
Adversarial AttackDeep LearningDefect DetectionAircraft Fuselage Defect Detection using Deep Neural Networks
To ensure flight safety of aircraft structures, it is necessary to have regular maintenance using visual and nondestructive inspection (NDI) methods. In this paper, we propose an automatic image-based aircraft defect det…
Defect DetectionHuman Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization
In recent years, a number of artificial intelligent services have been developed such as defect detection system or diagnosis system for customer services. Unfortunately, the core in these services is a black-box in whic…
Decision MakingDefect DetectionGeneral ClassificationDefect detection for patterned fabric images based on GHOG and low-rank decomposition
In order to accurately detect defects in patterned fabric images, a novel detection algorithm based on Gabor-HOG (GHOG) and low-rank decomposition is proposed in this paper. Defect-free pattern fabric images have the spe…
Computational EfficiencyDefect DetectionLearning to Detect Multiple Photographic Defects
In this paper, we introduce the problem of simultaneously detecting multiple photographic defects. We aim at detecting the existence, severity, and potential locations of common photographic defects related to color, noi…
Defect DetectionMulti-Task LearningDefect Detection Techniques for Airbag Production Sewing Stages
Airbags are subject to strict quality control in order to ensure passengers safety. The quality of fabric and sewing thread influence the final product and therefore, sewing defects must be early and accurately detected,…
Defect DetectionvalidSequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection
Periodic inspections are necessary to keep railroad tracks in state of good repair and prevent train accidents. Automatic track inspection using machine vision technology has become a very effective inspection tool. Beca…
Defect DetectionWavelet subspace decomposition of thermal infrared images for defect detection in artworks
Monitoring the health of ancient artworks requires adequate prudence because of the sensitive nature of these materials. Classical techniques for identifying the development of faults rely on acoustic testing. These tech…
Defect DetectionFault DetectionReal Time Fabric Defect Detection System on an Embedded DSP Platform
In industrial fabric productions, automated real time systems are needed to find out the minor defects. It will save the cost by not transporting defected products and also would help in making compmay image of quality f…
Defect DetectionTexture Defect Detection in Gradient Space
In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Experiments on real fabric images with defects show that the …
Defect DetectionAutomated Fabric Defect Inspection: A Survey of Classifiers
Quality control at each stage of production in textile industry has become a key factor to retaining the existence in the highly competitive global market. Problems of manual fabric defect inspection are lack of accuracy…
Defect DetectionGeneral ClassificationSurvey