Competitive learning: the content-specific post-processing frontier
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94 дня – 2249:41Опубликовано 28 января 2025, 11:31
For machines intending to perform vision tasks, adapting reconstructed human-ready videos is a must. But how do we address artifacts caused by varying compression rates and unique content? Joint optimization pits content-specific filters against each other for the right to post-process video with fewer resulting artifacts. Discover how this competitive learning can result in greatly improved performances of reconstructed data.
Ready to claim victory over video artifacts? Read the paper by Honglei Zhang, Jukka I. Ahonen, Nam Le, Ruiying Yang, Francesco Cricri.
arxiv.org/abs/2406.12367
Ready to claim victory over video artifacts? Read the paper by Honglei Zhang, Jukka I. Ahonen, Nam Le, Ruiying Yang, Francesco Cricri.
arxiv.org/abs/2406.12367
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