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ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

4 July 2017
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian-jun Sun
    AI4TS
ArXivPDFHTML

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

50 / 519 papers shown
Title
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
45
98
0
05 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and
  Solutions
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Xiaojiang Chen
Xin Wang
AI4CE
48
653
0
01 Jun 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd
  Counting
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
Mingjie Wang
Hao Cai
Jun Zhou
Minglun Gong
29
20
0
25 May 2020
AOWS: Adaptive and optimal network width search with latency constraints
AOWS: Adaptive and optimal network width search with latency constraints
Maxim Berman
Leonid Pischulin
N. Xu
Matthew B. Blaschko
Gérard Medioni
27
29
0
21 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
X. Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
39
18
0
18 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With
  Trainable Masked Layers
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu
Zhe Xu
Runbin Shi
R. Cheung
Hayden Kwok-Hay So
9
119
0
14 May 2020
Layer-wise training convolutional neural networks with smaller filters
  for human activity recognition using wearable sensors
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors
Yin Tang
Qi Teng
L. Zhang
Fuhong Min
Jun He
HAI
19
89
0
08 May 2020
Comparison and Benchmarking of AI Models and Frameworks on Mobile
  Devices
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Chunjie Luo
Xiwen He
Jianfeng Zhan
Lei Wang
Wanling Gao
Jiahui Dai
ELM
11
58
0
07 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
25
12,045
0
23 Apr 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
66
998
0
09 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using
  Chest X-rays
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays
Xin Li
Chengyin Li
D. Zhu
19
79
0
06 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI
3DV
54
2,595
0
01 Apr 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
39
457
0
31 Mar 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks
MUXConv: Information Multiplexing in Convolutional Neural Networks
Zhichao Lu
Kalyanmoy Deb
Vishnu Naresh Boddeti
14
44
0
31 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel
  Correlations Lead to Improved MobileNets
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
D. Haase
Manuel Amthor
14
132
0
30 Mar 2020
Towards Palmprint Verification On Smartphones
Towards Palmprint Verification On Smartphones
Yingyi Zhang
Lin Zhang
Ruixin Zhang
Shaoxin Li
Jilin Li
Feiyue Huang
19
23
0
30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
Semantically Multi-modal Image Synthesis
Semantically Multi-modal Image Synthesis
Zhen Zhu
Zhi-liang Xu
Ansheng You
X. Bai
184
92
0
28 Mar 2020
SPFCN: Select and Prune the Fully Convolutional Networks for Real-time
  Parking Slot Detection
SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection
Zhuoping Yu
Zhong Gao
Hansheng Chen
Yuyao Huang
14
16
0
25 Mar 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision
A Survey of Methods for Low-Power Deep Learning and Computer Vision
Abhinav Goel
Caleb Tung
Yung-Hsiang Lu
George K. Thiruvathukal
VLM
10
92
0
24 Mar 2020
TanhExp: A Smooth Activation Function with High Convergence Speed for
  Lightweight Neural Networks
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks
Xinyu Liu
Xiaoguang Di
19
59
0
22 Mar 2020
Resolution Adaptive Networks for Efficient Inference
Resolution Adaptive Networks for Efficient Inference
Le Yang
Yizeng Han
Xi Chen
Shiji Song
Jifeng Dai
Gao Huang
16
215
0
16 Mar 2020
Real-Time High-Performance Semantic Image Segmentation of Urban Street
  Scenes
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes
Genshun Dong
Y. Yan
Chunhua Shen
Hanzi Wang
SSeg
21
102
0
11 Mar 2020
How to Train Your Super-Net: An Analysis of Training Heuristics in
  Weight-Sharing NAS
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS
Kaicheng Yu
René Ranftl
Mathieu Salzmann
19
34
0
09 Mar 2020
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro
  Hand Gestures and a Real-Time Recognition Framework
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
Okan Kopuklu
Thomas Ledwon
Yao Rong
Neslihan Köse
Gerhard Rigoll
32
23
0
02 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning
Learning When and Where to Zoom with Deep Reinforcement Learning
Burak Uzkent
Stefano Ermon
16
66
0
01 Mar 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
25
44
0
17 Feb 2020
Impact of ImageNet Model Selection on Domain Adaptation
Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang
Brian D. Davison
FAtt
OOD
VLM
39
34
0
06 Feb 2020
Latency-Aware Differentiable Neural Architecture Search
Latency-Aware Differentiable Neural Architecture Search
Yuhui Xu
Lingxi Xie
Xiaopeng Zhang
Xin Chen
Bowen Shi
Qi Tian
H. Xiong
OOD
24
33
0
17 Jan 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying Chen
Christoph Meinel
MQ
22
91
0
16 Jan 2020
Quantisation and Pruning for Neural Network Compression and
  Regularisation
Quantisation and Pruning for Neural Network Compression and Regularisation
Kimessha Paupamah
Steven D. James
Richard Klein
4
23
0
14 Jan 2020
Cross-dataset Training for Class Increasing Object Detection
Cross-dataset Training for Class Increasing Object Detection
Yongqiang Yao
Yan Wang
Yu-Xiao Guo
Jiaojiao Lin
Hongwei Qin
Junjie Yan
ObjD
24
17
0
14 Jan 2020
Least squares binary quantization of neural networks
Least squares binary quantization of neural networks
Hadi Pouransari
Zhucheng Tu
Oncel Tuzel
MQ
14
32
0
09 Jan 2020
Lightweight Residual Densely Connected Convolutional Neural Network
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar
S. Kasaei
14
13
0
02 Jan 2020
ZeroQ: A Novel Zero Shot Quantization Framework
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
30
389
0
01 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning?
AdderNet: Do We Really Need Multiplications in Deep Learning?
Hanting Chen
Yunhe Wang
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
18
194
0
31 Dec 2019
Mixed-Precision Quantized Neural Network with Progressively Decreasing
  Bitwidth For Image Classification and Object Detection
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection
Tianshu Chu
Qin Luo
Jie-jin Yang
Xiaolin Huang
MQ
16
6
0
29 Dec 2019
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
Xin Chen
Lingxi Xie
Jun Wu
Qi Tian
11
93
0
23 Dec 2019
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
23
189
0
21 Dec 2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding
Yuqi Huo
Hongwei Yi
Zhe Wang
Jianping Shi
Zhiwu Lu
Ping Luo
3DPC
31
311
0
10 Dec 2019
Optimal checkpointing for heterogeneous chains: how to train deep neural
  networks with limited memory
Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory
Julien Herrmann
Olivier Beaumont
Lionel Eyraud-Dubois
J. Herrmann
Alexis Joly
Alena Shilova
BDL
21
29
0
27 Nov 2019
GhostNet: More Features from Cheap Operations
GhostNet: More Features from Cheap Operations
Kai Han
Yunhe Wang
Qi Tian
Jianyuan Guo
Chunjing Xu
Chang Xu
18
2,575
0
27 Nov 2019
Exploiting Operation Importance for Differentiable Neural Architecture
  Search
Exploiting Operation Importance for Differentiable Neural Architecture Search
Xukai Xie
Yuan Zhou
S. Kung
11
34
0
24 Nov 2019
Fast Sparse ConvNets
Fast Sparse ConvNets
Erich Elsen
Marat Dukhan
Trevor Gale
Karen Simonyan
10
151
0
21 Nov 2019
Real-time Memory Efficient Large-pose Face Alignment via Deep
  Evolutionary Network
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network
Bin Sun
Ming Shao
Siyu Xia
Y. Fu
3DH
CVBM
15
2
0
25 Oct 2019
Fast Hardware-Aware Neural Architecture Search
Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang
Yuqing Yang
Yuhang Jiang
Wenwu Zhu
Yunxin Liu
3DV
12
22
0
25 Oct 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
39
1,029
0
23 Oct 2019
Efficient Decoupled Neural Architecture Search by Structure and
  Operation Sampling
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling
Heung-Chang Lee
Do-Guk Kim
Bohyung Han
25
6
0
23 Oct 2019
Torchreid: A Library for Deep Learning Person Re-Identification in
  Pytorch
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
Kaiyang Zhou
Tao Xiang
22
116
0
22 Oct 2019
Learning Generalisable Omni-Scale Representations for Person
  Re-Identification
Learning Generalisable Omni-Scale Representations for Person Re-Identification
Kaiyang Zhou
Yongxin Yang
Andrea Cavallaro
Tao Xiang
22
217
0
15 Oct 2019
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