30 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 30 cited
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
Qiyu Chen, Huiyuan Luo, Han Gao +2
Unsupervised anomaly detection methods can identify surface defects in industrial images by leveraging only normal samples for training. Due to the risk of overfitting when learnin…
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…