Entropy Coding Improvement for Low-complexity Compressive Auto-encoders-Reference-Cited by-同舟云学术

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Entropy Coding Improvement for Low-complexity Compressive Auto-encoders

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 Data Compression Conference (DCC)
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Author:

Galpin Franck¹,Balcilar Muhammet¹,Lefebvre Frederic¹,Racapé Fabien¹,Hellier Pierre¹

Affiliation:

1. InterDigital, Inc.,Rennes,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125292/10125296/10125539.pdf?arnumber=10125539

Reference5 articles.

1. Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression

2. Variational image compression with a scale hyperprior;ballé;ICLRE,2018

3. Content adaptive optimization for neural image compression;campos;CVPR Workshops,2019

4. SADL small adhoc deep-learning library;galpin;Tech Rep JVET-W0181 InterDigital,2021

5. Compressai: a pytorch library and evaluation platform for end-to-end compression research;dbégaint;arXiv preprint arXiv 2011 00177,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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