3 papers
cs.CV2026
Network Knowledge Prior Guided Learning for Data-Efficient Surface Defect Detection
Hang-Cheng Dong, Guodong Liu, Dong Ye +1
Deep learning-based methods have become the de facto standard for industrial defect detection. However, their data-hungry nature and inherent "black-box" characteristics often lead…
cs.CV2025
Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
Hang-Cheng Dong, Yibo Jiao, Fupeng Wei +3
Industrial surface defect inspection for sample-wise quality control (QC) must simultaneously decide whether a given sample contains defects and localize those defects spatially. I…
cs.CV2025
Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception
Hang-Cheng Dong, Lu Zou, Bingguo Liu +2
Surface defect detection plays a critical role in industrial quality inspection. Recent advances in artificial intelligence have significantly enhanced the automation level of dete…