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cvlab-yonsei / MNAD

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
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I reproduced it successfully. Attached is a screenshot. Expect the author to give you a Python script file for making your own data set. #54

Open Wei-JL opened 1 year ago

Wei-JL commented 1 year ago

I trained normally and at about 120 rounds, the inference AUC value reached 96.35026351887952 % , a result that is very little different from the 97% mentioned in the paper. Thanks to the authors, can you please provide the script for making my own dataset?

wjl

fanzz1208 commented 1 year ago

我正常训练，大约 120 轮，推断 AUC 值达到 96.35026351887952 %，这个结果与论文中提到的 97% 差别不大。感谢作者，你能提供制作我自己的数据集的脚本吗？

王杰尔

您还，请问可以将您复现成功的代码发给我吗 2563992699@qq.com

HuYongting commented 1 year ago

Excuse me, the model link given by the author has been invalid. Have you saved the pre-training model given by the author of the paper? Can you send me a copy? My email address is 2865613686@qq.com. Thank you very much.

xiaoliukuaidianpao commented 2 months ago

I trained normally and at about 120 rounds, the inference AUC value reached 96.35026351887952 % , a result that is very little different from the 97% mentioned in the paper. Thanks to the authors, can you please provide the script for making my own dataset?

wjl

Hello, my reproduction result is not ideal, can you send me a copy of your successful reproduction code? My E-mail address is liushimiao0304@163.com.