Zobrazeno 1 - 4
of 4
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
This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Image Analysis and Recognition, ICIAR 2018, held in Póvoa de Varzim, Portugal, in June 2018.The 91 full papers presented together with 15 short papers