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ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
v1v2 (latest)

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

4 July 2017
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"

50 / 1,902 papers shown
Title
ShuffleSeg: Real-time Semantic Segmentation Network
ShuffleSeg: Real-time Semantic Segmentation Network
M. Gamal
Mennatullah Siam
Moemen Abdel-Razek
SSeg
125
63
0
10 Mar 2018
RTSeg: Real-time Semantic Segmentation Comparative Study
RTSeg: Real-time Semantic Segmentation Comparative Study
Mennatullah Siam
M. Gamal
Moemen Abdel-Razek
S. Yogamani
Martin Jägersand
SSeg
262
117
0
07 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for
  Accuracy, Speed and Storage
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Qiuyu Zhu
Ruixin Zhang
3DH
77
5
0
07 Mar 2018
Deep Neural Network Compression with Single and Multiple Level
  Quantization
Deep Neural Network Compression with Single and Multiple Level Quantization
Yuhui Xu
Yongzhuang Wang
Aojun Zhou
Weiyao Lin
H. Xiong
MQ
129
121
0
06 Mar 2018
Loss-aware Weight Quantization of Deep Networks
Loss-aware Weight Quantization of Deep Networks
Lu Hou
James T. Kwok
MQ
228
134
0
23 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
143
45
0
17 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
123
109
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
353
1,419
0
10 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
913
15,070
0
07 Feb 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
243
90
0
07 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
822
3,185
0
05 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural
  Networks
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
Jian Cheng
Peisong Wang
Gang Li
Qinghao Hu
Hanqing Lu
80
3
0
03 Feb 2018
PU-Net: Point Cloud Upsampling Network
PU-Net: Point Cloud Upsampling Network
Lequan Yu
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
228
666
0
21 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman
L. Roese-Koerner
A. Kummert
198
104
0
19 Jan 2018
Fully Point-wise Convolutional Neural Network for Modeling Statistical
  Regularities in Natural Images
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
Jing Zhang
Yang Cao
Yang Wang
Chenglin Wen
Changwen Chen
92
37
0
19 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Zhiqiang Wang
134
321
0
16 Jan 2018
Fix your classifier: the marginal value of training the last weight
  layer
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer
Itay Hubara
Daniel Soudry
244
104
0
14 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
1.5K
22,215
0
13 Jan 2018
Not All Ops Are Created Equal!
Not All Ops Are Created Equal!
Liangzhen Lai
Naveen Suda
Vikas Chandra
109
26
0
12 Jan 2018
clcNet: Improving the Efficiency of Convolutional Neural Network using
  Channel Local Convolutions
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions
Dong-Qing Zhang
188
10
0
17 Dec 2017
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
585
3,642
0
15 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen
Aran Khanna
Anima Anandkumar
222
30
0
11 Dec 2017
High performance ultra-low-precision convolutions on mobile devices
High performance ultra-low-precision convolutions on mobile devices
Andrew Tulloch
Yangqing Jia
HAIMQ
96
29
0
06 Dec 2017
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
404
2,090
0
02 Dec 2017
Towards High Performance Video Object Detection
Towards High Performance Video Object Detection
Xizhou Zhu
Jifeng Dai
Lu Yuan
Yichen Wei
ObjD
157
252
0
30 Nov 2017
Recurrent Segmentation for Variable Computational Budgets
Recurrent Segmentation for Variable Computational Budgets
Lane T. McIntosh
Niru Maheswaranathan
David Sussillo
Jonathon Shlens
SSegVOS
191
20
0
28 Nov 2017
WSNet: Compact and Efficient Networks Through Weight Sampling
WSNet: Compact and Efficient Networks Through Weight Sampling
Xiaojie Jin
Yingzhen Yang
N. Xu
Jianchao Yang
Nebojsa Jojic
Jiashi Feng
Shuicheng Yan
114
2
0
28 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
247
841
0
25 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Christian Schroeder de Witt
G. Varma
A. Namboodiri
GNN
216
75
0
23 Nov 2017
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Bichen Wu
Alvin Wan
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Noah Golmant
A. Gholaminejad
Joseph E. Gonzalez
Kurt Keutzer
3DPC
250
384
0
22 Nov 2017
Receptive Field Block Net for Accurate and Fast Object Detection
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
265
1,428
0
21 Nov 2017
Design Automation for Binarized Neural Networks: A Quantum Leap
  Opportunity?
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
Manuele Rusci
Lukas Cavigelli
Luca Benini
MQ
151
21
0
21 Nov 2017
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian Sun
ObjD
169
382
0
20 Nov 2017
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Kensuke Nakamura
Stefano Soatto
Byung-Woo Hong
BDLODL
153
8
0
20 Nov 2017
Hello Edge: Keyword Spotting on Microcontrollers
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang
Naveen Suda
Liangzhen Lai
Vikas Chandra
234
466
0
20 Nov 2017
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mason Liu
Menglong Zhu
ObjD
210
209
0
17 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li
Xi Song
Tianfu Wu
151
26
0
15 Nov 2017
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
307
126
0
07 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Zhuliang Yu
Lingqiao Liu
Ian Reid
MQ
243
250
0
01 Nov 2017
Dual Skipping Networks
Dual Skipping Networks
Changmao Cheng
Yanwei Fu
Yu-Gang Jiang
Wei Liu
Wenlian Lu
Jianfeng Feng
Xiangyang Xue
124
1
0
28 Oct 2017
Incomplete Dot Products for Dynamic Computation Scaling in Neural
  Network Inference
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference
Bradley McDanel
Surat Teerapittayanon
H. T. Kung
55
8
0
21 Oct 2017
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
Jiaqi Guan
Yang Liu
Qiang Liu
Jian-wei Peng
102
37
0
10 Oct 2017
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with
  Small Deep-Neural-Network Architectures
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures
F. Iandola
Kurt Keutzer
128
38
0
07 Oct 2017
Margin Sample Mining Loss: A Deep Learning Based Method for Person
  Re-identification
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
Qiqi Xiao
Haowen Luo
Fangqiu Yi
341
155
0
02 Oct 2017
Improving Efficiency in Convolutional Neural Network with Multilinear
  Filters
Improving Efficiency in Convolutional Neural Network with Multilinear Filters
D. Tran
Alexandros Iosifidis
Moncef Gabbouj
228
42
0
28 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1.4K
30,893
0
05 Sep 2017
Rocket Launching: A Universal and Efficient Framework for Training
  Well-performing Light Net
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light NetAAAI Conference on Artificial Intelligence (AAAI), 2017
Guorui Zhou
Ying Fan
Runpeng Cui
Weijie Bian
Xiaoqiang Zhu
Kun Gai
129
122
0
14 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
645
5,967
0
21 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
291
600
0
05 Jul 2017
Image Forgery Localization Based on Multi-Scale Convolutional Neural
  Networks
Image Forgery Localization Based on Multi-Scale Convolutional Neural NetworksIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2017
Yanfei Liu
Qingxiao Guan
Xianfeng Zhao
Q. Qin
167
147
0
13 Jun 2017
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