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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

4 July 2017

Xiangyu Zhang

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

50 / 1,905 papers shown

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

20 Mar 2018

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

374

861

19 Mar 2018

Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018

Chaoyun Zhang

P. Patras

Hamed Haddadi

367

1,430

12 Mar 2018

ShuffleSeg: Real-time Semantic Segmentation Network

159

10 Mar 2018

RTSeg: Real-time Semantic Segmentation Comparative Study

279

118

07 Mar 2018

HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage

Qiuyu Zhu

Ruixin Zhang

3DH

135

07 Mar 2018

Deep Neural Network Compression with Single and Multiple Level Quantization

160

122

06 Mar 2018

Loss-aware Weight Quantization of Deep Networks

Lu Hou

James T. Kwok

249

135

23 Feb 2018

Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

170

17 Feb 2018

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy

143

111

11 Feb 2018

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Zhijian Liu

Song Han

466

1,445

10 Feb 2018

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

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07 Feb 2018

Universal Deep Neural Network Compression

Yoojin Choi

Mostafa El-Khamy

Jungwon Lee

261

07 Feb 2018

Regularized Evolution for Image Classifier Architecture Search

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05 Feb 2018

Recent Advances in Efficient Computation of Deep Convolutional Neural Networks

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03 Feb 2018

PU-Net: Point Cloud Upsampling Network

Lequan Yu

Xianzhi Li

Chi-Wing Fu

Daniel Cohen-Or

Pheng-Ann Heng

3DPC

280

681

21 Jan 2018

EffNet: An Efficient Structure for Convolutional Neural Networks

Ido Freeman

L. Roese-Koerner

A. Kummert

258

105

19 Jan 2018

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images

Yang Cao

158

19 Jan 2018

Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

Xiang Li

Shuo Chen

Xiaolin Hu

Zhiqiang Wang

170

323

16 Jan 2018

Fix your classifier: the marginal value of training the last weight layer

Elad Hoffer

Itay Hubara

Daniel Soudry

301

104

14 Jan 2018

MobileNetV2: Inverted Residuals and Linear Bottlenecks

2.9K

22,940

13 Jan 2018

Not All Ops Are Created Equal!

Liangzhen Lai

Naveen Suda

Vikas Chandra

122

12 Jan 2018

clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions

Dong-Qing Zhang

204

17 Dec 2017

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

674

3,810

15 Dec 2017

StrassenNets: Deep Learning with a Multiplication Budget

Michael Tschannen

Aran Khanna

Anima Anandkumar

269

11 Dec 2017

High performance ultra-low-precision convolutions on mobile devices

Andrew Tulloch

Yangqing Jia

HAI MQ

134

06 Dec 2017

Progressive Neural Architecture Search

Li Fei-Fei

513

2,103

02 Dec 2017

Towards High Performance Video Object Detection

Lu Yuan

175

255

30 Nov 2017

Recurrent Segmentation for Variable Computational Budgets

221

28 Nov 2017

WSNet: Compact and Efficient Networks Through Weight Sampling

121

28 Nov 2017

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Gao Huang

Shichen Liu

Laurens van der Maaten

Kilian Q. Weinberger

294

846

25 Nov 2017

Deep Expander Networks: Efficient Deep Networks from Graph Theory

Christian Schroeder de Witt

G. Varma

A. Namboodiri

GNN

262

23 Nov 2017

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

308

387

22 Nov 2017

Receptive Field Block Net for Accurate and Fast Object Detection

Songtao Liu

Di Huang

Yunhong Wang

ObjD

283

1,449

21 Nov 2017

Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?

Manuele Rusci

Lukas Cavigelli

Luca Benini

190

21 Nov 2017

Light-Head R-CNN: In Defense of Two-Stage Object Detector

Xiangyu Zhang

201

386

20 Nov 2017

Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks

207

20 Nov 2017

Hello Edge: Keyword Spotting on Microcontrollers

318

470

20 Nov 2017

Mobile Video Object Detection with Temporally-Aware Feature Maps

Mason Liu

Menglong Zhu

ObjD

258

210

17 Nov 2017

AOGNets: Compositional Grammatical Architectures for Deep Learning

Xilai Li

Xi Song

Tianfu Wu

206

15 Nov 2017

Moonshine: Distilling with Cheap Convolutions

Elliot J. Crowley

Gavia Gray

Amos Storkey

431

127

07 Nov 2017

Towards Effective Low-bitwidth Convolutional Neural Networks

Bohan Zhuang

Chunhua Shen

Zhuliang Yu

Lingqiao Liu

Ian Reid

304

250

01 Nov 2017

Dual Skipping Networks

Wei Liu

174

28 Oct 2017

Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference

Bradley McDanel

Surat Teerapittayanon

H. T. Kung

21 Oct 2017

Energy-efficient Amortized Inference with Cascaded Deep Classifiers

130

10 Oct 2017

Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures

F. Iandola

Kurt Keutzer

142

07 Oct 2017

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

Qiqi Xiao

Haowen Luo

Fangqiu Yi

404

157

02 Oct 2017

Improving Efficiency in Convolutional Neural Network with Multilinear Filters

D. Tran

Alexandros Iosifidis

Moncef Gabbouj

251

28 Sep 2017

Squeeze-and-Excitation Networks

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31,847

05 Sep 2017

Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light NetAAAI Conference on Artificial Intelligence (AAAI), 2017

196

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14 Aug 2017