3 citations · 3 across the 3 of their papers we have counts for
3 papers
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.CV2023
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection
Han Gao, Huiyuan Luo, Fei Shen +1
One-class classification (OCC) is a longstanding method for anomaly detection. With the powerful representation capability of the pre-trained backbone, OCC methods have witnessed s…
cs.CV2023★ 3 cited
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
Han Gao, Huiyuan Luo, Fei Shen +1
Although existing image anomaly detection methods yield impressive results, they are mostly an offline learning paradigm that requires excessive data pre-collection, limiting their…