1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models
Tongkun Liu, Bing Li, Xiao Jin +3
Industrial defect segmentation is critical for manufacturing quality control. Due to the scarcity of training defect samples, few-shot semantic segmentation (FSS) holds significant…
cs.CV2023
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…