3 papers
cs.CV2024
Few-shot Defect Image Generation based on Consistency Modeling
Qingfeng Shi, Jing Wei, Fei Shen +1
Image generation can solve insufficient labeled data issues in defect detection. Most defect generation methods are only trained on a single product without considering the consist…
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…