Fonction d'erreur par pixel


Révision datée du 15 décembre 2020 à 19:08 par Pitpitt (discussion | contributions) (Remplacement de texte — « DeepAI.org ] » par « DeepAI.org ] Catégorie:DeepAI.org  »)

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Per-Pixel Loss Functions

A per-pixel loss function is used as a metric for understanding differences between images on a pixel level. The loss function measures the differences between output pixel values in an image. While the function is valuable for understanding interpolation on a pixel level, the process has drawbacks. For example, data scientists argue that the per-pixel loss function doesn't as accurately address qualities of the image that are important or meaningful. Often this leads to the comparison between per-pixel loss functions and perceptual loss functions.



Source : DeepAI.org



Contributeurs: Patrick Drouin, wiki