Image Coding For Machines: an End-To-End Learned Approach

Over recent years, deep learning-based computer vision systems have been applied to images at an ever-increasing pace, oftentimes representing the only type of consumption for those images. Given the dramatic explosion in the number of images generated per day, a question arises: how much better wou...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1590 - 1594
Hlavní autori:	Le, Nam, Zhang, Honglei, Cricri, Francesco, Ghaznavi-Youvalari, Ramin, Rahtu, Esa
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.06.2021
Predmet:	Artificial neural networks Codecs Computer vision Image coding image coding for machines image compression loss weighting multitask learning Speech coding Training Video coding video coding for machines
ISSN:	2379-190X
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