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PaDiM是2020年提出的基于预训练神经网络的工业异常检测模型。PaDiM训练时仅使用正常样本,训练过程中不对网络参数进行更新(无反向传播),PaDiM 使用于预先训练的 CNN 来进行分块嵌入,然后使用多元高斯分布来得到正常类别的概率表示。此外,还利用了 CNN 不同层的语义来更高的定位缺陷。
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》