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Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK
Towards anomaly detection: A feasibilty study for quality control in productions of nonwovens
Limitations of Anomaly Detection: Beyond which Size Defects can be Reliably Recognized
Development of a Fire Detection Based on the Analysis of Video Data by Means of Convolutional Neural Networks
Insights of Anomaly Detection: How does Polluted Training Data Influence Performance?
Automated Optical Inspection Using Anomaly Detection and Unsupervised Defect Clustering
Image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logistics
Classification of Similar Objects of Different Sizes Using a Reference Object by Means of Convolutional Neural Networks