Fig. 1
From: A swin transformer-based hybrid reconstruction discriminative network for image anomaly detection
The overall architecture of SRDAD. The framework contains a Natural Anomaly Generation Module, a multi-level Reconstructive Sub-Network, and a Discriminative Sub-Network for pixel-level anomaly mapping, with interconnections optimizing both detection and localization.
