2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CV2025★ 2 cited
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects
Paul J. Krassnig, Dieter P. Gruber
Automatic visual inspection using machine learning plays a key role in achieving zero-defect policies in industry. Research on anomaly detection is constrained by the availability…
cs.CV2018
Anomaly Detection using Deep Learning based Image Completion
Matthias Haselmann, Dieter P. Gruber, Paul Tabatabai
Automated surface inspection is an important task in many manufacturing industries and often requires machine learning driven solutions. Supervised approaches, however, can be chal…