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submitted 3 months ago* (last edited 3 months ago) by smokinliver@sopuli.xyz to c/machinelearning@lemmy.ml

Hey guys,

I have been experimenting with self-supervised visual learning a bit. Until now I have only ever used U-Nets and related architectures.

No matter what specific task, images or other parameters I changed I always encountered these stains on my output-images (here marked with green), although sometimes more, sometimes less.

Now I wondered if anybody could tell me where they came from and how I could prevent them?

In the attached picture the input (left) and target (right) are the same, so that I can be sure these stains do not come from a badly designed learning task, yet they still appear (output is the middle image).

Thanks in advance and all the best :D

Edit: added line breaks

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[-] Audalin@lemmy.world 2 points 3 months ago
[-] smokinliver@sopuli.xyz 1 points 3 months ago

Thanks a lot, I will look into that :D

[-] NegativeLookBehind@lemmy.world -2 points 3 months ago
this post was submitted on 24 Apr 2024
9 points (90.9% liked)

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