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Detect image anomalies by using low-dimensional embeddings of patches

Detect image anomalies by using low-dimensional embeddings of patches


PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation



A neural network targeting at unsupervised image anomaly localization, called the PEDENet, is proposed


... PEDENet contains a patch embedding (PE) network, a density estimation (DE) network, and an auxiliary network called the location prediction (LP) network.


... PE network takes local image patches as input and performs dimension reduction to get low-dimensional patch embeddings


... DE network takes those patch embeddings and then predicts the cluster membership of an embedded patch.


... LP network ... takes embeddings from two neighboring patches as input and predicts their relative location.


The performance of the proposed PEDENet is evaluated extensively and benchmarked with that of state-of-the-art methods.



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