SaliencyCut: Augmenting Plausible Anomalies for Anomaly Detection

no code implementations • 14 Jun 2023 • Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang

We then design a novel patch-wise residual module in the anomaly learning head to extract and assess the fine-grained anomaly features from each sample, facilitating the learning of discriminative representations of anomaly instances.

Anomaly Detection Data Augmentation