216 citations · 216 across the 3 of their papers we have counts for
3 papers
cs.CV2024
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
Zhen Qu, Xian Tao, Mukesh Prasad +4
Recently, large-scale vision-language models such as CLIP have demonstrated immense potential in zero-shot anomaly segmentation (ZSAS) task, utilizing a unified model to directly d…
cs.CV2023
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation
Zhen Qu, Xian Tao, Fei Shen +2
In industrial defect segmentation tasks, while pixel accuracy and Intersection over Union (IoU) are commonly employed metrics to assess segmentation performance, the output consist…
cs.CV2022★ 216 cited
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang +2
Currently, deep learning-based visual inspection has been highly successful with the help of supervised learning methods. However, in real industrial scenarios, the scarcity of def…