Abstract: Deep learning-based image compression has made great progresses recently. However, some leading schemes use serial context-adaptive entropy model to improve the rate-distortion (R-D) ...
Modularity is as a key characteristic of structural and functional brain networks across species and spatial scales. We investigate the stochastic Wilson–Cowan model on a modular network in which ...
Compression Tool is an easy-to-use software for compressing and decompressing files, supporting various archive formats to save disk space and transfer time. Compression Tool allows you to compress ...
Abstract: Recently, learning-based image compression approaches have achieved superior performance over classical image compression methods. However, their complexities remain quite high. In this ...
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