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| Definition | : | Fréchet Inception Distance |
| Category | : | Computing » Artificial Intelligence |
| Country/ Region |
: | Worldwide
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| Type | : |
Initialism
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Fréchet Inception Distance (FID) is a measure used to evaluate the quality of generative models.
FID is a distance metric that compares the statistical distributions of real and generated images based on the activations of a pre-trained deep neural network.
The name Fréchet in Fréchet Inception Distance (FID) comes from the French mathematician Maurice Fréchet, who made significant contributions to the field of functional analysis and is known for introducing the concept of metric spaces.
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Chemistry
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First Input Delay
Websites
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Free Induction Decay
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Flight Initiation Distance
Wildlife
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Foreign Internal Defense
Military
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Flat Incline Decline
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Fédération Internationale de Documentation
[International Documentation Federation]
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Elizabeth Field
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[International Design Festival]
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Fermare il Declino
[Stop the Decline]
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The full form of FID is Fréchet Inception Distance
First Input Delay | Fréchet Inception Distance
Flame Ionization Detector | First Input Delay | Free Induction Decay | Flight Initiation Distance | Fréchet Inception Distance | Foreign Internal Defense | Flat Incline Decline | Fédération Internationale de Documentation | Festival Internacional de Diseño