most citedDivide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 2 cited

Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection

Jinlei Hou, Yingying Zhang, Qiaoyong Zhong +3

Reconstruction-based methods play an important role in unsupervised anomaly detection in images. Ideally, we expect a perfect reconstruction for normal samples and poor reconstruct…