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pro vyhledávání: '"Lam, Yat-Hong"'
We present an efficient finetuning methodology for neural-network filters which are applied as a postprocessing artifact-removal step in video coding pipelines. The fine-tuning is performed at encoder side to adapt the neural network to the specific
Externí odkaz:
http://arxiv.org/abs/2007.14267
Autor:
Lam, Yat Hong, Zare, Alireza, Aytekin, Caglar, Cricri, Francesco, Lainema, Jani, Aksu, Emre, Hannuksela, Miska
In this paper, we present a novel approach for fine-tuning a decoder-side neural network in the context of image compression, such that the weight-updates are better compressible. At encoder side, we fine-tune a pre-trained artifact removal network o
Externí odkaz:
http://arxiv.org/abs/1905.04079