Variable-Rate Deep Image Compression With Vision Transformers
Author:
Affiliation:
1. School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
2. WebM Codec Team, Google LLC, Mountain View, CA, USA
Funder
Natural Sciences and Engineering Research Council of Canada
Google Chrome University Research Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09770776.pdf?arnumber=9770776
Reference45 articles.
1. Density modeling of images using a generalized normalization transformation;ballé;arXiv 1511 06281,2015
2. Taming Transformers for High-Resolution Image Synthesis
3. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017
4. Human action recognition using attention based LSTM network with dilated CNN features
5. Compression Artifact Removal with Stacked Multi-Context Channel-Wise Attention Network
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