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Soft-to-Hard Vector Quantization for End-to-End Learning Compressible
  Representations

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

3 April 2017
E. Agustsson
Fabian Mentzer
Michael Tschannen
Lukas Cavigelli
Radu Timofte
Luca Benini
Luc Van Gool
    MQ
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Papers citing "Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations"

13 / 63 papers shown
Title
Learning Product Codebooks using Vector Quantized Autoencoders for Image
  Retrieval
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval
Hanwei Wu
M. Flierl
SSL
CML
DRL
16
19
0
12 Jul 2018
Scalable Neural Network Compression and Pruning Using Hard Clustering
  and L1 Regularization
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization
Yibo Yang
Nicholas Ruozzi
Vibhav Gogate
13
2
0
14 Jun 2018
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
Mohammad Akbari
Jie Liang
Jingning Han
16
89
0
08 Jun 2018
Image-Dependent Local Entropy Models for Learned Image Compression
Image-Dependent Local Entropy Models for Learned Image Compression
David C. Minnen
G. Toderici
Saurabh Singh
S. Hwang
Michele Covell
11
31
0
31 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
14
130
0
28 May 2018
Mad Max: Affine Spline Insights into Deep Learning
Mad Max: Affine Spline Insights into Deep Learning
Randall Balestriero
Richard Baraniuk
AI4CE
23
78
0
17 May 2018
Video Compression through Image Interpolation
Video Compression through Image Interpolation
Chao-Yuan Wu
Nayan Singhal
Philipp Krahenbuhl
VGen
34
316
0
18 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression
Generative Adversarial Networks for Extreme Learned Image Compression
E. Agustsson
Michael Tschannen
Fabian Mentzer
Radu Timofte
Luc Van Gool
GAN
12
551
0
09 Apr 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
23
4,803
0
02 Nov 2017
BitNet: Bit-Regularized Deep Neural Networks
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan
Mohamed R. Amer
S. Chai
Graham Taylor
MQ
27
10
0
16 Aug 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
311
1,047
0
10 Feb 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 2016
End-to-end optimization of nonlinear transform codes for perceptual
  quality
End-to-end optimization of nonlinear transform codes for perceptual quality
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
70
244
0
18 Jul 2016
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