30 citations · 31 across the 4 of their papers we have counts for
4 papers · 1 filter
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
Qiyu Chen, Huiyuan Luo, Haiming Yao +4
Anomaly detection plays a vital role in the inspection of industrial images. Most existing methods require separate models for each category, resulting in multiplied deployment cos…
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…
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
Qiyu Chen, Huiyuan Luo, Chengkan Lv +1
Anomaly synthesis strategies can effectively enhance unsupervised anomaly detection. However, existing strategies have limitations in the coverage and controllability of anomaly sy…
Produce Once, Utilize Twice for Anomaly Detection
Shuyuan Wang, Qi Li, Huiyuan Luo +2
Visual anomaly detection aims at classifying and locating the regions that deviate from the normal appearance. Embedding-based methods and reconstruction-based methods are two main…