Web: http://arxiv.org/abs/2209.07005

Sept. 16, 2022, 1:15 a.m. | Yaohua Guo, Lijuan Song, Zirui Ma

cs.CV updates on arXiv.org arxiv.org

A common study area in anomaly identification is industrial images anomaly
detection based on texture background. The interference of texture images and
the minuteness of texture anomalies are the main reasons why many existing
models fail to detect anomalies. We propose a strategy for anomaly detection
that combines dictionary learning and normalizing flow based on the
aforementioned questions. The two-stage anomaly detection approach already in
use is enhanced by our method. In order to improve baseline method, this
research add …

anomaly anomaly detection arxiv detection dictionary flow image

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