9 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
Peng Wang, Haiming Yao, Wenyong Yu
The unsupervised visual inspection of defects in industrial products poses a significant challenge due to substantial variations in product surfaces. Current unsupervised models st…
cs.CV2022★ 9 cited
Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer
Haiming Yao, Wenyong Yu
Industrial vision anomaly detection plays a critical role in the advanced intelligent manufacturing process, while some limitations still need to be addressed under such a context.…
cs.CV2022★ 7 cited
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Haiming Yao, Xue Wang, Wenyong Yu
Unsupervised visual anomaly detection conveys practical significance in many scenarios and is a challenging task due to the unbounded definition of anomalies. Moreover, most previo…