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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
ReActNet: Towards Precise Binary Neural Network with Generalized
  Activation Functions
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
16
347
0
07 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision
  Applications
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
Chinthaka Gamanayake
Lahiru Jayasinghe
Benny Kai Kiat Ng
Chau Yuen
VLM
18
45
0
05 Mar 2020
Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging
Mohit Lamba
K. K. Rachavarapu
Kaushik Mitra
44
29
0
05 Mar 2020
BATS: Binary ArchitecTure Search
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
16
67
0
03 Mar 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles
Anytime Inference with Distilled Hierarchical Neural Ensembles
Adria Ruiz
Jakob Verbeek
UQCV
BDL
FedML
44
6
0
03 Mar 2020
A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing
A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing
Chongwei Liu
Zhihui Wang
Shijie Wang
Tao Tang
Yulong Tao
Caifei Yang
Haojie Li
Xing Liu
Xin-Yue Fan
14
48
0
03 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
21
66
0
01 Mar 2020
Channel Equilibrium Networks for Learning Deep Representation
Channel Equilibrium Networks for Learning Deep Representation
Wenqi Shao
Shitao Tang
Xingang Pan
Ping Tan
Xiaogang Wang
Ping Luo
30
17
0
29 Feb 2020
XSepConv: Extremely Separated Convolution
XSepConv: Extremely Separated Convolution
Jiarong Chen
Zongqing Lu
Jing-Hao Xue
Q. Liao
MDE
14
9
0
27 Feb 2020
Semantic Flow for Fast and Accurate Scene Parsing
Semantic Flow for Fast and Accurate Scene Parsing
Xiangtai Li
Ansheng You
Zhen Zhu
Houlong Zhao
Maoke Yang
Kuiyuan Yang
Yunhai Tong
SSeg
24
354
0
24 Feb 2020
DSNAS: Direct Neural Architecture Search without Parameter Retraining
DSNAS: Direct Neural Architecture Search without Parameter Retraining
Shou-Yong Hu
Sirui Xie
Hehui Zheng
Chunxiao Liu
Jianping Shi
Xunying Liu
Dahua Lin
11
130
0
21 Feb 2020
Structured Sparsification with Joint Optimization of Group Convolution
  and Channel Shuffle
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle
Xinyu Zhang
Kai Zhao
Taihong Xiao
Mingg-Ming Cheng
Ming-Hsuan Yang
14
1
0
19 Feb 2020
Algorithm-hardware Co-design for Deformable Convolution
Algorithm-hardware Co-design for Deformable Convolution
Qijing Huang
Dequan Wang
Yizhao Gao
Yaohui Cai
Zhen Dong
Bichen Wu
Kurt Keutzer
J. Wawrzynek
4
10
0
19 Feb 2020
Precision Gating: Improving Neural Network Efficiency with Dynamic
  Dual-Precision Activations
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
Yichi Zhang
Ritchie Zhao
Weizhe Hua
N. Xu
G. E. Suh
Zhiru Zhang
MQ
84
27
0
17 Feb 2020
Hoplite: Efficient and Fault-Tolerant Collective Communication for
  Task-Based Distributed Systems
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems
Siyuan Zhuang
Zhuohan Li
Danyang Zhuo
Stephanie Wang
Eric Liang
Robert Nishihara
Philipp Moritz
Ion Stoica
11
23
0
13 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based
  Regularization
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen
Cho-Jui Hsieh
22
203
0
12 Feb 2020
Asymmetric Rejection Loss for Fairer Face Recognition
Asymmetric Rejection Loss for Fairer Face Recognition
Haoyu Qin
CVBM
6
8
0
09 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang
Ali Shafiee
Hamzah Abdel-Aziz
D. Thorsley
Georgios Georgiadis
Joseph Hassoun
MQ
10
143
0
31 Jan 2020
Search for Better Students to Learn Distilled Knowledge
Search for Better Students to Learn Distilled Knowledge
Jindong Gu
Volker Tresp
20
18
0
30 Jan 2020
A CNN With Multi-scale Convolution for Hyperspectral Image
  Classification using Target-Pixel-Orientation scheme
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme
J. Saha
Yuvraj Khanna
J. Mukherjee
8
3
0
30 Jan 2020
Depthwise-STFT based separable Convolutional Neural Networks
Depthwise-STFT based separable Convolutional Neural Networks
Sudhakar Kumawat
S. Raman
OOD
MDE
11
5
0
27 Jan 2020
Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
Abhijit Suprem
C. Pu
J. E. Ferreira
7
4
0
24 Jan 2020
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in
  MPR Images
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images
Mariia Dobko
B. Petryshak
Oles Dobosevych
6
2
0
23 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S. Raschka
Benjamin Kaufman
AI4CE
16
67
0
17 Jan 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
27
33
0
17 Jan 2020
MixPath: A Unified Approach for One-shot Neural Architecture Search
MixPath: A Unified Approach for One-shot Neural Architecture Search
Xiangxiang Chu
Shun Lu
Xudong Li
Bo-Wen Zhang
19
21
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
Interpretation and Simplification of Deep Forest
Sangwon Kim
Mira Jeong
ByoungChul Ko
FAtt
11
8
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
17
32
0
09 Jan 2020
Fast Neural Network Adaptation via Parameter Remapping and Architecture
  Search
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang
Yuzhu Sun
Kangjian Peng
Qian Zhang
Yuan Li
Wenyu Liu
Xinggang Wang
SSeg
14
33
0
08 Jan 2020
Deep Video Super-Resolution using HR Optical Flow Estimation
Deep Video Super-Resolution using HR Optical Flow Estimation
Longguang Wang
Yulan Guo
Li Liu
Zaiping Lin
Xinpu Deng
W. An
SupR
33
138
0
06 Jan 2020
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight
  Neural Networks
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks
Lukas Cavigelli
Luca Benini
MQ
15
9
0
04 Jan 2020
Scalable NAS with Factorizable Architectural Parameters
Scalable NAS with Factorizable Architectural Parameters
Lanfei Wang
Lingxi Xie
Tianyi Zhang
Jun Guo
Qi Tian
28
3
0
31 Dec 2019
RC-DARTS: Resource Constrained Differentiable Architecture Search
RC-DARTS: Resource Constrained Differentiable Architecture Search
Xiaojie Jin
Jiang Wang
Joshua Slocum
Ming-Hsuan Yang
Shengyang Dai
Shuicheng Yan
Jiashi Feng
11
31
0
30 Dec 2019
BETANAS: BalancEd TrAining and selective drop for Neural Architecture
  Search
BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
Muyuan Fang
Qiang-qiang Wang
Zhaobai Zhong
OOD
16
9
0
24 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
FasterSeg: Searching for Faster Real-time Semantic Segmentation
FasterSeg: Searching for Faster Real-time Semantic Segmentation
Wuyang Chen
Xinyu Gong
Xianming Liu
Qian Zhang
Yuan Li
Zhangyang Wang
SSeg
OOD
19
189
0
23 Dec 2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei
Yingwei Li
Xiaochen Lian
Xiaojie Jin
Linjie Yang
Alan Yuille
Jianchao Yang
14
107
0
20 Dec 2019
Joint Architecture and Knowledge Distillation in CNN for Chinese Text
  Recognition
Joint Architecture and Knowledge Distillation in CNN for Chinese Text Recognition
Zirui Wang
Jun Du
12
0
0
17 Dec 2019
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
Arash Vahdat
Arun Mallya
Ming-Yu Liu
Jan Kautz
20
33
0
16 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance
  on IoT Devices
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
Delia Velasco-Montero
Jorge Fernández-Berni
R. Carmona-Galán
Á. Rodríguez-Vázquez
17
21
0
13 Dec 2019
STEERAGE: Synthesis of Neural Networks Using Architecture Search and
  Grow-and-Prune Methods
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
Shayan Hassantabar
Xiaoliang Dai
N. Jha
3DV
17
17
0
12 Dec 2019
Efficient Differentiable Neural Architecture Search with Meta Kernels
Efficient Differentiable Neural Architecture Search with Meta Kernels
Shoufa Chen
Yunpeng Chen
Shuicheng Yan
Jiashi Feng
11
18
0
10 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels
Dynamic Convolution: Attention over Convolution Kernels
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
13
867
0
07 Dec 2019
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Thomas Verelst
Tinne Tuytelaars
11
149
0
06 Dec 2019
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
Yanjun Li
M. Rezaei
Chenglong Li
Xiaolin Li
D. Wu
3DV
20
61
0
01 Dec 2019
SGAS: Sequential Greedy Architecture Search
SGAS: Sequential Greedy Architecture Search
G. Li
Guocheng Qian
Itzel C. Delgadillo
Matthias Muller
Ali K. Thabet
Bernard Ghanem
3DPC
17
184
0
30 Nov 2019
Crypto-Oriented Neural Architecture Design
Crypto-Oriented Neural Architecture Design
Avital Shafran
Gil Segev
Shmuel Peleg
Yedid Hoshen
11
7
0
27 Nov 2019
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang
H. Liao
I-Hau Yeh
Yueh-hua Wu
Ping-Yang Chen
J. Hsieh
25
3,047
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
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