« Fonction d'erreur par pixel » : différence entre les versions


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[https://deepai.org/machine-learning-glossary-and-terms/per-pixel-loss-function  Source : DeepAI.org ]
[https://deepai.org/machine-learning-glossary-and-terms/per-pixel-loss-function  Source : DeepAI.org ]
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[[Catégorie:vocabulary]]
[[Catégorie:vocabulary]]

Version du 15 décembre 2020 à 18:08

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Définition

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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