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GitHub
23 年
Divide-and-Assemble_Learning Block-wise Memory for Unsupervised Anomaly Detection.md
理想情况下,我们期待对正常样本重建完美但是对异常样本重建较差.但是深度神经网络的泛化难以控制,现有的模型,比如 AE 就表现不是很好.为此,我们提出了可以将图片的重建视为是一个分离然后组装的过程.我们发现,通过改变特征图上划分的粒度,我们可以控制对 ...
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