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Self-Supervised class #145

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AnderBiguri opened this issue Nov 22, 2024 · 0 comments
Open

Self-Supervised class #145

AnderBiguri opened this issue Nov 22, 2024 · 0 comments

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@AnderBiguri
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Does it make sense to have a SelfSupervisedSolver class that wraps all cases?

As far as I can see, we could add Noise2Inverse, equivariat imaging, SURE in a loss class that just takes loss(noisy,model) , each with their own parameters to set (e.g. splits, rotations, etc)
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@AnderBiguri