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Transform Network Architectures for Deep Learning based End-to-End
  Image/Video Coding in Subsampled Color Spaces

Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces

27 February 2021
Hilmi E. Egilmez
Ankitesh K. Singh
M. Coban
M. Karczewicz
Yinhao Zhu
Yang Yang
A. Said
Taco S. Cohen
ArXivPDFHTML

Papers citing "Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces"

10 / 10 papers shown
Title
CompressAI: a PyTorch library and evaluation platform for end-to-end
  compression research
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
Jean Bégaint
Fabien Racapé
Simon Feltman
Akshay Pushparaja
VLM
63
426
0
05 Nov 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
Channel-wise Autoregressive Entropy Models for Learned Image Compression
David C. Minnen
Saurabh Singh
67
410
0
17 Jul 2020
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
77
1,275
0
08 Sep 2018
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
85
1,709
0
05 Nov 2016
Density Modeling of Images using a Generalized Normalization
  Transformation
Density Modeling of Images using a Generalized Normalization Transformation
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
47
389
0
19 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
323
18,625
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
465
43,658
0
17 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,279
0
16 Dec 2013
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