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IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image
  Classification

IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification

26 April 2018
Sam Leroux
Pavlo Molchanov
Pieter Simoens
Bart Dhoedt
Thomas Breuel
Jan Kautz
ArXivPDFHTML

Papers citing "IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification"

11 / 11 papers shown
Title
Residual Connections Encourage Iterative Inference
Residual Connections Encourage Iterative Inference
Stanislaw Jastrzebski
Devansh Arpit
Nicolas Ballas
Vikas Verma
Tong Che
Yoshua Bengio
43
155
0
13 Oct 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
122
6,830
0
04 Jul 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,747
0
17 Apr 2017
ShaResNet: reducing residual network parameter number by sharing weights
ShaResNet: reducing residual network parameter number by sharing weights
Alexandre Boulch
83
26
0
28 Feb 2017
Highway and Residual Networks learn Unrolled Iterative Estimation
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
AI4TS
89
215
0
22 Dec 2016
Spatially Adaptive Computation Time for Residual Networks
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
51
346
0
07 Dec 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
58
544
0
29 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
132
7,448
0
24 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
131
1,765
0
03 May 2015
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
356
43,511
0
17 Sep 2014
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