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Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
Matthew J. Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
Published in:
ICML (2023)
Keyphrases
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image compression
statistical models
neural network
network architecture
probabilistic model
model selection
parameter estimation
vector quantization
statistical model
goodness of fit
neural model
neural network model
statistical methods
experimental data
wavelet transform
learning algorithm
machine learning