ADTR: Anomaly Detection Transformer with Feature Reconstruction. (arXiv:2209.01816v2 [cs.CV] UPDATED)

Anomaly detection with only prior knowledge from normal samples attracts more
attention because of the lack of anomaly samples. Existing CNN-based pixel
reconstruction approaches suffer from two concerns. First, the reconstruction
source and target are raw pixel values that contain indistinguishable semantic
information. Second, CNN tends to reconstruct both normal samples and anomalies
well, making them still hard to distinguish. In this paper, we propose Anomaly
Detection TRansformer (ADTR) to apply a transformer to reconstruct pre-trained
features. The pre-trained features …

anomaly anomaly detection arxiv detection feature transformer