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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 / 1,781 papers shown
Title
Fed-ensemble: Improving Generalization through Model Ensembling in
  Federated Learning
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
Naichen Shi
Fan Lai
Raed Al Kontar
Mosharaf Chowdhury
FedML
85
36
0
21 Jul 2021
You Better Look Twice: a new perspective for designing accurate
  detectors with reduced computations
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations
Alexandra Dana
M. Shutman
Yotam Perlitz
Ran Vitek
Tomer Peleg
R. Jevnisek
ObjD
131
3
0
21 Jul 2021
Positive/Negative Approximate Multipliers for DNN Accelerators
Positive/Negative Approximate Multipliers for DNN Accelerators
Ourania Spantidi
Georgios Zervakis
Iraklis Anagnostopoulos
H. Amrouch
J. Henkel
45
19
0
20 Jul 2021
Follow Your Path: a Progressive Method for Knowledge Distillation
Follow Your Path: a Progressive Method for Knowledge Distillation
Wenxian Shi
Yuxuan Song
Hao Zhou
Bohan Li
Lei Li
60
15
0
20 Jul 2021
Face.evoLVe: A High-Performance Face Recognition Library
Face.evoLVe: A High-Performance Face Recognition Library
Qingzhong Wang
Pengfei Zhang
Haoyi Xiong
Jian-jun Zhao
CVBM
110
63
0
19 Jul 2021
A stepped sampling method for video detection using LSTM
A stepped sampling method for video detection using LSTM
Dengshan Li
Rujing Wang
Chengjun Xie
13
0
0
18 Jul 2021
A High-Performance Adaptive Quantization Approach for Edge CNN
  Applications
A High-Performance Adaptive Quantization Approach for Edge CNN Applications
Hsu-Hsun Chin
R. Tsay
Hsin-I Wu
MQ
52
5
0
18 Jul 2021
Federated Action Recognition on Heterogeneous Embedded Devices
Federated Action Recognition on Heterogeneous Embedded Devices
Pranjali Jain
Shreyas Goenka
S. Bagchi
Biplab Banerjee
Somali Chaterji
FedML
81
8
0
18 Jul 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges,
  Techniques and Datasets
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul
Xi Li
ObjD
101
11
0
16 Jul 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
Chaojian Li
Wuyang Chen
Yuchen Gu
Tianlong Chen
Yonggan Fu
Zhangyang Wang
Yingyan Lin
112
0
0
16 Jul 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution
  Strategy
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy
Nilotpal Sinha
Kuan-Wen Chen
71
6
0
15 Jul 2021
An Efficient and Small Convolutional Neural Network for Pest Recognition
  -- ExquisiteNet
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet
Shi-Yao Zhou
Chung-Yen Su
50
11
0
15 Jul 2021
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
Suneung Kim
Seong-Whan Lee
23
2
0
14 Jul 2021
LANA: Latency Aware Network Acceleration
LANA: Latency Aware Network Acceleration
Pavlo Molchanov
Jimmy Hall
Hongxu Yin
Jan Kautz
Nicolò Fusi
Arash Vahdat
139
10
0
12 Jul 2021
HEMP: High-order Entropy Minimization for neural network comPression
HEMP: High-order Entropy Minimization for neural network comPression
Enzo Tartaglione
Stéphane Lathuilière
Attilio Fiandrotti
Marco Cagnazzo
Marco Grangetto
MQ
46
7
0
12 Jul 2021
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
CSL-YOLO: A New Lightweight Object Detection System for Edge Computing
Yumeng Zhang
Chun-Chieh Lee
J. Hsieh
Kuo-Chin Fan
ObjD
34
21
0
10 Jul 2021
Accuracy on the Line: On the Strong Correlation Between
  Out-of-Distribution and In-Distribution Generalization
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
John Miller
Rohan Taori
Aditi Raghunathan
Shiori Sagawa
Pang Wei Koh
Vaishaal Shankar
Percy Liang
Y. Carmon
Ludwig Schmidt
OODDOOD
151
278
0
09 Jul 2021
Does Form Follow Function? An Empirical Exploration of the Impact of
  Deep Neural Network Architecture Design on Hardware-Specific Acceleration
Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration
Saad Abbasi
M. Shafiee
Ellick Chan
Alexander Wong
34
0
0
08 Jul 2021
Physics-informed generative neural network: an application to
  troposphere temperature prediction
Physics-informed generative neural network: an application to troposphere temperature prediction
Zhihao Chen
Jie Gao
Weikai Wang
Zheng Yan
AI4CE
67
18
0
08 Jul 2021
FasterPose: A Faster Simple Baseline for Human Pose Estimation
FasterPose: A Faster Simple Baseline for Human Pose Estimation
Hanbin Dai
Hailin Shi
Wu Liu
Linfang Wang
Yinglu Liu
Tao Mei
3DH
106
24
0
07 Jul 2021
LightFuse: Lightweight CNN based Dual-exposure Fusion
LightFuse: Lightweight CNN based Dual-exposure Fusion
Ziyi Liu
Jie Yang
Svetlana Yanushkevich
O. Yadid-Pecht
52
3
0
05 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
95
43
0
02 Jul 2021
CBNet: A Composite Backbone Network Architecture for Object Detection
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang
Xiao Chu
Yudong Liu
Yongtao Wang
Zhi Tang
Wei Chu
Jingdong Chen
Haibin Ling
ObjD
116
168
0
01 Jul 2021
One-class Steel Detector Using Patch GAN Discriminator for Visualising
  Anomalous Feature Map
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
Takato Yasuno
Junichiro Fujii
Sakura Fukami
47
2
0
30 Jun 2021
A More Compact Object Detector Head Network with Feature Enhancement and
  Relational Reasoning
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning
Wen Zhang
Chong Fu
Xiang shi Chang
T. Zhao
Xiang Li
Chiu-Wing Sham
ObjD
120
15
0
28 Jun 2021
Mitigating severe over-parameterization in deep convolutional neural
  networks through forced feature abstraction and compression with an
  entropy-based heuristic
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Nidhi Gowdra
R. Sinha
Stephen G. MacDonell
W. Yan
25
9
0
27 Jun 2021
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive
  Pruning
AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
Guangmeng Zhou
Ke Xu
Qi Li
Yang Liu
Yi Zhao
54
8
0
27 Jun 2021
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural
  Network Accelerators
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators
Seyed Morteza Nabavinejad
Behzad Salami
144
1
0
26 Jun 2021
BFTrainer: Low-Cost Training of Neural Networks on Unfillable
  Supercomputer Nodes
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Zhengchun Liu
R. Kettimuthu
M. Papka
Ian Foster
46
3
0
22 Jun 2021
P2T: Pyramid Pooling Transformer for Scene Understanding
P2T: Pyramid Pooling Transformer for Scene Understanding
Yu-Huan Wu
Yun-Hai Liu
Xin Zhan
Mingg-Ming Cheng
ViT
157
234
0
22 Jun 2021
Active Learning for Deep Neural Networks on Edge Devices
Active Learning for Deep Neural Networks on Edge Devices
Yuya Senzaki
Christian Hamelain
70
7
0
21 Jun 2021
Practical Assessment of Generalization Performance Robustness for Deep
  Networks via Contrastive Examples
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples
Xuanyu Wu
Xuhong Li
Haoyi Xiong
Xiao Zhang
Siyu Huang
Dejing Dou
30
1
0
20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature Learning
Chen Zhang
Yinghao Xu
Yujun Shen
VLMSSL
51
10
0
19 Jun 2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Sudhakar Kumawat
Gagan Kanojia
Shanmuganathan Raman
37
5
0
17 Jun 2021
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary
  Framework
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework
Jiahao Su
Wonmin Byeon
Furong Huang
36
9
0
16 Jun 2021
ShortcutFusion: From Tensorflow to FPGA-based accelerator with
  reuse-aware memory allocation for shortcut data
ShortcutFusion: From Tensorflow to FPGA-based accelerator with reuse-aware memory allocation for shortcut data
Duy-Thanh Nguyen
Hyeonseung Je
Tuan Nghia Nguyen
Soojung Ryu
Kyujoong Lee
Hyuk-Jae Lee
46
30
0
15 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Nianhui Guo
Joseph Bethge
Haojin Yang
Kai Zhong
Xuefei Ning
Christoph Meinel
Yu Wang
MQ
63
11
0
13 Jun 2021
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Longqing Ye
ViT
31
0
0
12 Jun 2021
HR-NAS: Searching Efficient High-Resolution Neural Architectures with
  Lightweight Transformers
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers
Mingyu Ding
Xiaochen Lian
Linjie Yang
Peng Wang
Xiaojie Jin
Zhiwu Lu
Ping Luo
ViT
101
61
0
11 Jun 2021
CAT: Cross Attention in Vision Transformer
CAT: Cross Attention in Vision Transformer
Hezheng Lin
Xingyi Cheng
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Qing Song
Wei Yuan
ViT
65
158
0
10 Jun 2021
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Anurag Ghosh
Vaibhav Balloli
A. Nambi
Aditya Singh
T. Ganu
120
6
0
10 Jun 2021
On the Connection between Local Attention and Dynamic Depth-wise
  Convolution
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han
Zejia Fan
Qi Dai
Lei-huan Sun
Ming-Ming Cheng
Jiaying Liu
Jingdong Wang
ViT
123
112
0
08 Jun 2021
Broadcasted Residual Learning for Efficient Keyword Spotting
Broadcasted Residual Learning for Efficient Keyword Spotting
Byeonggeun Kim
Simyung Chang
Jinkyu Lee
Dooyong Sung
121
124
0
08 Jun 2021
Person Re-Identification with a Locally Aware Transformer
Person Re-Identification with a Locally Aware Transformer
Charu Sharma
S. R. Kapil
David Chapman
ViT
82
45
0
07 Jun 2021
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
Zilong Huang
Youcheng Ben
Guozhong Luo
Pei Cheng
Gang Yu
Bin-Bin Fu
ViT
111
185
0
07 Jun 2021
Making EfficientNet More Efficient: Exploring Batch-Independent
  Normalization, Group Convolutions and Reduced Resolution Training
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
Dominic Masters
A. Labatie
Zach Eaton-Rosen
Carlo Luschi
141
11
0
07 Jun 2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
ViT
209
342
0
07 Jun 2021
Vision Transformers with Hierarchical Attention
Vision Transformers with Hierarchical Attention
Yun-Hai Liu
Yu-Huan Wu
Guolei Sun
Le Zhang
Ajad Chhatkuli
Luc Van Gool
ViT
87
39
0
06 Jun 2021
Dynamic Resolution Network
Dynamic Resolution Network
Mingjian Zhu
Kai Han
Enhua Wu
Qiulin Zhang
Ying Nie
Zhenzhong Lan
Yunhe Wang
OOD
108
52
0
05 Jun 2021
Single Image Depth Prediction with Wavelet Decomposition
Single Image Depth Prediction with Wavelet Decomposition
Michael Ramamonjisoa
Michael Firman
Jamie Watson
Vincent Lepetit
Daniyar Turmukhambetov
MDE
110
55
0
03 Jun 2021
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