Stereo Image Compression Using Recurrent Neural Network With A Convolutional Neural Network-Based Occlusion Detection-Reference-Cited by-同舟云学术

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Stereo Image Compression Using Recurrent Neural Network With A Convolutional Neural Network-Based Occlusion Detection

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Gul M. Shahzeb Khan¹,Suleman Hamid¹,Batz Michel¹,Keinert Joachim¹

Affiliation:

1. Fraunhofer Institute for Integrated Circuits IIS,Erlangen,Germany,91058

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956352.pdf?arnumber=9956352

Reference25 articles.

1. End-to-end optimized image compression;ballé;Proc of the Int Conf on Learning Representations (ICLR),2017

2. Variational image compression with a scale hyperprior;ballé;Proc of the Int Conf on Learning Representations (ICLR),2018

3. Density modeling of images using a generalized normalization transformation;ballé,2015

4. Variable rate image compression with recurrent neural networks;toderici;Proc of the Int Conf on Learning Representations (ICLR),2016

5. Full Resolution Image Compression with Recurrent Neural Networks

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