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Found 3 papers, 0 papers with code
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training
A common issue with the learned models is that of a performance drop when there is a distribution shift between the training and testing data.
PnP Restoration with Domain Adaptation for SANS
The prior in PR-SANS is initially trained on a set of generic images and subsequently fine-tuned using a limited amount of experimental SANS data.
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
Our second set of numerical results considers a simple and effective domain adaption strategy that closes the performance gap due to the use of mismatched denoisers.
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