getting Good results for Bottle data, but worse for cable data

[midhunandu]

above figure shows groundtruths and outputs obtained for bottle data. It seems good.

above figure shows groundtruths and outputs obtained for cable data. Results are not good. I have used the same arguments as in the readme document for running train and test. Is there any solutions to make it more accurate?

[plutoyuxie]

Hi, @midhunandu Thanks for carefully checking results of our implementation.

As I know, pixel level anomaly detection methods based on RECONSTRUCTION is far behind some new methods nowadays.

We propose a new algorithm. The performance is much better.

[nnajeh]

@plutoyuxie can you present some of the new anomaly detection methods please?

[plutoyuxie]

PaDiM,  PatchCore, cflow ad

…

---Original--- From: ***@***.***> Date: Mon, Aug 16, 2021 17:38 PM To: ***@***.***>; Cc: ***@***.******@***.***>; Subject: Re: [plutoyuxie/AutoEncoder-SSIM-for-unsupervised-anomaly-detection-] getting Good results for Bottle data, but worse for cable data (#12) @plutoyuxie can you present some of the new anomaly detection methods please? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.