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A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.

2 votes

L1 loss giving a better result than L2 loss for optimizing PSNR in an image super resolution...

It is surely unexpected. This phenomenon was also mentioned in the paper Loss Functions for Image Restoration with Neural Networks. Briefly, they have discussed that although $\ell_2$ loss is widely u …
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