21 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 21 cited
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection
Tongkun Liu, Bing Li, Xiao Du +4
Image reconstruction-based anomaly detection models are widely explored in industrial visual inspection. However, existing models usually suffer from the trade-off between normal r…
cs.CV2023★ 1 cited
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Tongkun Liu, Bing Li, Xiao Du +4
Industrial visual inspection aims at detecting surface defects in products during the manufacturing process. Although existing anomaly detection models have shown great performance…
cs.CV2022★ 21 cited
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Tongkun Liu, Bing Li, Zhuo Zhao +3
Reconstruction-based methods are widely explored in industrial visual anomaly detection. Such methods commonly require the model to well reconstruct the normal patterns but fail in…