3 papers
cs.CV2026
UniSpector: Towards Universal Open-set Defect Recognition via Spectral-Contrastive Visual Prompting
Geonuk Kim, Minhoi Kim, Kangil Lee +5
Although industrial inspection systems should be capable of recognizing unprecedented defects, most existing approaches operate under a closed-set assumption, which prevents them f…
cs.CV2024
Cycle-Consistency Uncertainty Estimation for Visual Prompting based One-Shot Defect Segmentation
Geonuk Kim
Industrial defect detection traditionally relies on supervised learning models trained on fixed datasets of known defect types. While effective within a closed set, these models st…
cs.CV2024
Separating Novel Features for Logical Anomaly Detection: A Straightforward yet Effective Approach
Kangil Lee, Geonuk Kim
Vision-based inspection algorithms have significantly contributed to quality control in industrial settings, particularly in addressing structural defects like dent and contaminati…