Zhong, Zhiqing

Bi-Grid Reconstruction for Image Anomaly Detection

2025 · arXiv (Cornell University)

In image anomaly detection, significant advancements have been made using un- and self-supervised methods with datasets containing only normal samples. However, these approaches often struggle with fine-grained anomalies. This paper introduces \textbf{GRAD}: Bi-\textbf{G}rid \textbf{R}econstruction for …