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License: CC BY
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HiFIC Model Checkpoints

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Sep 2020Publisher:Zenodo
Authors: Justin Tan;

doi: 10.5281/zenodo.4026002 , 10.5281/zenodo.4026003

HiFIC Model Checkpoints

Abstract

PyTorch model checkpoints for neural image compression systems. The models are trained to target different bitrates - higher bitrate models will result in more faithful reconstructions at the expense of a lower compression ratio. Please consult the original repo for usage instructions. Source on Github

Related Organizations
Keywords

machine-learning, computer-vision, compression

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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