Abstract: Due to the challenges in achieving accurate probabilities, representing uncertainty as intervals helps mitigate issues arising from the lack of distribution information. However, current ...
Abstract: Entropy modeling is the core component of learned image compression (LIC) that models the distribution of latent representation learned from input images via neural networks for bit-rate ...
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