The white paper, authored by researchers from the University of Science and Technology of China, introduces a novel approach to addressing the limitations of pre-trained learned image compression (LIC) models. These models, while effective within the domains they were trained on, often falter when applied to new, domain-specific data. To overcome this, the researchers propose lightweight adapters that allow efficient …
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