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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

30 July 2018
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian-jun Sun
ArXivPDFHTML

Papers citing "ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design"

50 / 1,387 papers shown
Title
Once-for-All: Train One Network and Specialize it for Efficient
  Deployment
Once-for-All: Train One Network and Specialize it for Efficient Deployment
Han Cai
Chuang Gan
Tianzhe Wang
Zhekai Zhang
Song Han
OOD
15
1,257
0
26 Aug 2019
SeesawFaceNets: sparse and robust face verification model for mobile
  platform
SeesawFaceNets: sparse and robust face verification model for mobile platform
Jintao Zhang
3DH
CVBM
22
9
0
24 Aug 2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous
  Mobile Processors
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors
Royson Lee
Stylianos I. Venieris
L. Dudziak
S. Bhattacharya
Nicholas D. Lane
SupR
19
95
0
21 Aug 2019
Efficient Deep Neural Networks
Efficient Deep Neural Networks
Bichen Wu
20
12
0
20 Aug 2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented
  One-Shot Learning and Bayesian Approximation
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Amir Atapour-Abarghouei
Stephen Bonner
A. Mcgough
12
7
0
19 Aug 2019
Learning to play the Chess Variant Crazyhouse above World Champion Level
  with Deep Neural Networks and Human Data
Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data
Johannes Czech
Moritz Willig
Alena Beyer
Kristian Kersting
Johannes Furnkranz
8
17
0
19 Aug 2019
Improved Techniques for Training Adaptive Deep Networks
Improved Techniques for Training Adaptive Deep Networks
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
14
132
0
17 Aug 2019
Differentiable Learning-to-Group Channels via Groupable Convolutional
  Neural Networks
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Zhaoyang Zhang
Jingyu Li
Wenqi Shao
Zhanglin Peng
Ruimao Zhang
Xiaogang Wang
Ping Luo
11
37
0
16 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
Duo Li
Aojun Zhou
Anbang Yao
13
39
0
11 Aug 2019
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
Tianchi Huang
Chao Zhou
Ruixiao Zhang
Chenglei Wu
Xin Yao
Lifeng Sun
13
90
0
06 Aug 2019
Full-Stack Filters to Build Minimum Viable CNNs
Full-Stack Filters to Build Minimum Viable CNNs
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Dacheng Tao
Chang Xu
MQ
18
3
0
06 Aug 2019
Greedy AutoAugment
Greedy AutoAugment
Alireza Naghizadeh
Mohammadsajad Abavisani
Dimitris N. Metaxas
11
15
0
02 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification
MoBiNet: A Mobile Binary Network for Image Classification
Hai T. Phan
Dang T. Huynh
Yihui He
Marios Savvides
Zhiqiang Shen
MQ
28
48
0
29 Jul 2019
Interlaced Sparse Self-Attention for Semantic Segmentation
Interlaced Sparse Self-Attention for Semantic Segmentation
Lang Huang
Yuhui Yuan
Jianyuan Guo
Chao Zhang
Xilin Chen
Jingdong Wang
9
154
0
29 Jul 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
39
957
0
23 Jul 2019
MixConv: Mixed Depthwise Convolutional Kernels
MixConv: Mixed Depthwise Convolutional Kernels
Mingxing Tan
Quoc V. Le
27
374
0
22 Jul 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
29
1,101
0
22 Jul 2019
An Inter-Layer Weight Prediction and Quantization for Deep Neural
  Networks based on a Smoothly Varying Weight Hypothesis
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
Kang-Ho Lee
Joonhyun Jeong
Sung-Ho Bae
22
4
0
16 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture
  Search
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Guo-Jun Qi
Qi Tian
H. Xiong
22
603
0
12 Jul 2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Hervé Jégou
MQ
29
149
0
12 Jul 2019
VarGNet: Variable Group Convolutional Neural Network for Efficient
  Embedded Computing
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
Qian Zhang
Jianjun Li
Meng Yao
Liangchen Song
Helong Zhou
Zhichao Li
Wenming Meng
Xuezhi Zhang
Guoli Wang
11
22
0
12 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu
Haotian Tang
Yujun Lin
Song Han
3DPC
17
659
0
08 Jul 2019
EPNAS: Efficient Progressive Neural Architecture Search
EPNAS: Efficient Progressive Neural Architecture Search
Yanqi Zhou
Peng Wang
Sercan Ö. Arik
Haonan Yu
Syed Zawad
Feng Yan
G. Diamos
11
5
0
07 Jul 2019
The Indirect Convolution Algorithm
The Indirect Convolution Algorithm
Marat Dukhan
9
42
0
03 Jul 2019
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
Dushyant Mehta
Oleksandr Sotnychenko
Franziska Mueller
Weipeng Xu
Mohamed A. Elgharib
Pascal Fua
Hans-Peter Seidel
Helge Rhodin
Gerard Pons-Moll
Christian Theobalt
3DH
16
168
0
01 Jul 2019
Accelerating Large-Kernel Convolution Using Summed-Area Tables
Accelerating Large-Kernel Convolution Using Summed-Area Tables
Linguang Zhang
Maciej Halber
Szymon Rusinkiewicz
8
9
0
26 Jun 2019
New pointwise convolution in Deep Neural Networks through Extremely Fast
  and Non Parametric Transforms
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms
Joonhyun Jeong
Sung-Ho Bae
37
1
0
25 Jun 2019
Channel-by-Channel Demosaicking Networks with Embedded Spectral
  Correlation
Channel-by-Channel Demosaicking Networks with Embedded Spectral Correlation
Niu Yan
Jihong Ouyang
19
4
0
24 Jun 2019
Predicting Motion of Vulnerable Road Users using High-Definition Maps
  and Efficient ConvNets
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Fang-Chieh Chou
Tsung-Han Lin
Henggang Cui
Vladan Radosavljevic
Thi Nguyen
Tzu-Kuo Huang
Matthew Niedoba
J. Schneider
Nemanja Djuric
8
58
0
20 Jun 2019
GAN-Knowledge Distillation for one-stage Object Detection
GAN-Knowledge Distillation for one-stage Object Detection
Wanwei Wang
Jin ke Yu Fan Zong
ObjD
14
28
0
20 Jun 2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural
  Network Training
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
William Harvey
Michael Teng
Frank D. Wood
18
4
0
13 Jun 2019
Visual Wake Words Dataset
Visual Wake Words Dataset
Aakanksha Chowdhery
Pete Warden
Jonathon Shlens
Andrew G. Howard
Rocky Rhodes
VLM
11
98
0
12 Jun 2019
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural
  Networks with Elementwise Square Operators
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators
Sheng-Wei Chen
Xu Wang
Chao Chen
Yifan Lu
Xijin Zhang
Linfu Wen
16
2
0
12 Jun 2019
DiCENet: Dimension-wise Convolutions for Efficient Networks
DiCENet: Dimension-wise Convolutions for Efficient Networks
Sachin Mehta
Hannaneh Hajishirzi
Mohammad Rastegari
23
43
0
08 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Keivan Alizadeh-Vahid
Anish K. Prabhu
Ali Farhadi
Mohammad Rastegari
22
50
0
05 Jun 2019
Deeply-supervised Knowledge Synergy
Deeply-supervised Knowledge Synergy
Dawei Sun
Anbang Yao
Aojun Zhou
Hao Zhao
10
63
0
03 Jun 2019
Discovering Neural Wirings
Discovering Neural Wirings
Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
AI4CE
6
119
0
03 Jun 2019
Efficient Neural Architecture Search via Proximal Iterations
Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao
Ju Xu
Wei-Wei Tu
Zhanxing Zhu
17
104
0
30 May 2019
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network
  Inference On Microcontrollers
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers
Manuele Rusci
Alessandro Capotondi
Luca Benini
MQ
9
74
0
30 May 2019
Super Interaction Neural Network
Super Interaction Neural Network
Yang Yao
Xu Zhang
Baile Xu
F. Shen
Jian Zhao
11
0
0
29 May 2019
Attention Based Pruning for Shift Networks
Attention Based Pruning for Shift Networks
G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
25
25
0
29 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
11
17,721
0
28 May 2019
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution
  Pruning
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning
Xiawu Zheng
Chenyi Yang
Shaokun Zhang
Yan Wang
Baochang Zhang
Yongjian Wu
Yunsheng Wu
Ling Shao
Rongrong Ji
24
21
0
28 May 2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient
  Neural Networks
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
Xiaoliang Dai
Hongxu Yin
N. Jha
19
31
0
27 May 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
19
193
0
23 May 2019
Lightweight Network Architecture for Real-Time Action Recognition
Lightweight Network Architecture for Real-Time Action Recognition
Alexander Kozlov
Vadim Andronov
Y. Gritsenko
ViT
19
33
0
21 May 2019
Multinomial Distribution Learning for Effective Neural Architecture
  Search
Multinomial Distribution Learning for Effective Neural Architecture Search
Xiawu Zheng
R. Ji
Lang Tang
Baochang Zhang
Jianzhuang Liu
Q. Tian
15
88
0
18 May 2019
EmBench: Quantifying Performance Variations of Deep Neural Networks
  across Modern Commodity Devices
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Mario Almeida
Stefanos Laskaridis
Ilias Leontiadis
Stylianos I. Venieris
Nicholas D. Lane
11
73
0
17 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang
Roger C. Grosse
Sanja Fidler
Guodong Zhang
16
121
0
15 May 2019
Dynamic Routing Networks
Dynamic Routing Networks
Shaofeng Cai
Yao Shu
Wei Wang
Beng Chin Ooi
15
3
0
13 May 2019
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