Fetching the paper…
Reading the bibliography…
Image compression using neural networks have reached or exceeded non-neural methods (such as JPEG, WebP, BPG).
The jpeg still picture compression standard
Gregory K. Wallace · 1991
Earlier work this paper cites.
Standard, International Organization for Standardization, Geneva, CH, Dec. 2000
Information technology–JPEG 2000 image coding system · 2000
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
Ming Yuan and Yi Lin · 2006
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
Ming Yuan and Yi Lin · 2006
Earlier work this paper cites.
Normalization as a canonical neural computation
Matteo Carandini and David J. Heeger · 2012
Earlier work this paper cites.
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
Earlier work this paper cites.
Auto-sizing neural networks: With applications to n-gram language models
Kenton Murray and David Chiang · 2015
Earlier work this paper cites.
Learning the number of neurons in deep networks
Jose M Alvarez and Mathieu Salzmann · 2016
Earlier work this paper cites.
Density modeling of images using a generalized normalization transformation
Johannes Ballé, Valero Laparra, and Eero P. Simoncelli · 2016
Earlier work this paper cites.
Fast convnets using group-wise brain damage
Vadim Lebedev and Victor Lempitsky · 2016
Cited alongside, same era.
Variable rate image compression with recurrent neural networks
George Toderici, Sean M. O’Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, and Rahul Sukthankar · 2016
Cited alongside, same era.
Learning structured sparsity in deep neural networks
Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, and Hai Li · 2016
Cited alongside, same era.
End-to-end optimized image compression
Johannes Ballé, Valero Laparra, and Eero P. Simoncelli · 2017
Cited alongside, same era.
BPG image format (http://bellard.org/bpg/)
F. Bellard · 2017
Cited alongside, same era.
WebP: Compression techniques (http://developers. google.com/speed/webp/docs/compression)
Google · 2017
Cited alongside, same era.
Efficient nonlinear transforms for lossy image compression
Johannes Ballé · 2018
Later among the works it cites.
Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston · 2018
Later among the works it cites.
Joint autoregressive and hierarchical priors for learned image compression
David Minnen, Johannes Ballé, and George D Toderici · 2018
Later among the works it cites.
Learning transferable architectures for scalable image recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le · 2018
Later among the works it cites.
Integer networks for data compression with latent-variable models
Johannes Ballé, Nick Johnston, and David Minnen · 2019
Closest in time.
Non-local attention optimized deep image compression, 2019
Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Xun Cao, Yao Wang, and Zhan Ma · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Morphnet: Fast & simple resource-constrained structure learning of deep networks
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, and Edward Choi · 2017
Cited alongside, same era.
Real-time adaptive image compression
Oren Rippel and Lubomir Bourdev · 2017
Cited alongside, same era.
Lossy image compression with compressive autoencoders
Lucas Theis, Wenzhe Shi, Andrew Cunningham, and Ferenc Huszár · 2017
Cited alongside, same era.
Kodak lossless true color image suite (PhotoCD PCD0992)
Eastman Kodak
Cited in the paper.
Closest in time.
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
Andrew Poon, Max Moroz, Yair Movshovitz-Attias, and Elad Eban · 2019
Closest in time.
Regularized evolution for image classifier architecture search
Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V. Le · 2019
Closest in time.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le · 2019
Closest in time.