Comments (4)
I found the reason that why results were shown differently.
python package I used efficientnet_pytorch has version issue which makes different result by version.
lukemelas/EfficientNet-PyTorch#262
package version | ROCAUC |
---|---|
efficientent_pytorch==0.6.3 | 0.947 |
efficientent_pytorch==0.7.0 | 0.944 |
This repo was used efficientent_pytorch==0.6.3, so I pushed code changes 913a999 to freeze this package version.
Thanks.
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@wuqiangch
Is there any modification from the original source code?
Since there is no training stage, randomness does not exist and the same result should be reproduced.
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@byungjae89
Hello:
I just test your code, interestingly, my results are the same as @wuqiangch , except on the class 'transistor'. I get the AUROC 0.951 instead of 0.959 in wuqiangch's reproducation.
But I think this is not an insignificant problem. Do you think there are some changes on the MVTEC AD itself???(I didn't find any randomness in the code)
Here is my evidence:
byungjae89: about 6 months ago
wuqiangch: about Nov,2020 (different on many classes)
mine: Jan, 2021 (just on "transistor")
At the same time, i run the code "PaDiM", and find my results are slightly worse than the author @xiahaifeng1995, just on the class "transistor". It seems the results by xia finished on Nov,2020.
xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master#6 (comment)
Since MVTEC AD is an important dataset for scientific purpose, I'm concerned about this problem.
Hope your reply, thanks!
sorry for my english :)
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@byungjae89 OK.Thanks.
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