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Accelerating Very Deep Convolutional Networks for Classification and
  Detection

Accelerating Very Deep Convolutional Networks for Classification and Detection

26 May 2015
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
ArXivPDFHTML

Papers citing "Accelerating Very Deep Convolutional Networks for Classification and Detection"

43 / 93 papers shown
Title
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
24
11
0
13 Jul 2019
Data-Free Quantization Through Weight Equalization and Bias Correction
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel
M. V. Baalen
Tijmen Blankevoort
Max Welling
MQ
19
501
0
11 Jun 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
32
2,288
0
13 May 2019
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial
  Video Saliency
Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency
Jia Li
K. Fu
Shengwei Zhao
Shiming Ge
38
26
0
10 Apr 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural
  Networks for Image Classification
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen
Di Xie
Yuan Zhang
Shiliang Pu
30
80
0
13 Mar 2019
DAC: Data-free Automatic Acceleration of Convolutional Networks
DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li
Shuai Zhang
Bolan Jiang
Y. Qi
Mooi Choo Choo Chuah
N. Bi
19
7
0
20 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
20
13
0
10 Dec 2018
Three Dimensional Convolutional Neural Network Pruning with
  Regularization-Based Method
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
Yu-xin Zhang
Huan Wang
Yang Luo
Lu Yu
Roland Hu
Hangguan Shan
Tony Q. S. Quek
3DPC
23
11
0
19 Nov 2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class
  specific filter sensitivity analysis
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
Kasanagottu Sairam
J. Mukherjee
A. Patra
P. Das
27
5
0
11 Nov 2018
Shift-based Primitives for Efficient Convolutional Neural Networks
Shift-based Primitives for Efficient Convolutional Neural Networks
Huasong Zhong
Xianggen Liu
Yihui He
Yuchun Ma
35
20
0
22 Sep 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions
Network Decoupling: From Regular to Depthwise Separable Convolutions
Jianbo Guo
Yuxi Li
Weiyao Lin
Yurong Chen
Jianguo Li
3DV
OOD
19
84
0
16 Aug 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
51
4,929
0
30 Jul 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
20
96
0
10 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
15
1
0
08 Jul 2018
Automatic Rank Selection for High-Speed Convolutional Neural Network
Automatic Rank Selection for High-Speed Convolutional Neural Network
Hyeji Kim
C. Kyung
27
5
0
28 Jun 2018
Doubly Nested Network for Resource-Efficient Inference
Doubly Nested Network for Resource-Efficient Inference
Jaehong Kim
Sungeun Hong
Yongseok Choi
Jiwon Kim
21
5
0
20 Jun 2018
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual
  Convolutional Neural Network
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network
Qiangqiang Yuan
Qiang Zhang
Jie Li
Huanfeng Shen
Liangpei Zhang
43
370
0
01 Jun 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
18
207
0
23 May 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
25
28
0
27 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for
  Mobile Applications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin
Zhaoning Zhang
Shiqing Zhang
Hao Yu
Yuxing Peng
8
7
0
24 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
26
178
0
28 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
29
104
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
35
1,342
0
10 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye
Xin Lu
Zhe-nan Lin
Jianmin Wang
27
406
0
01 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
VLM
28
177
0
23 Jan 2018
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
33
231
0
01 Nov 2017
Knowledge Projection for Deep Neural Networks
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
38
15
0
26 Oct 2017
A concatenating framework of shortcut convolutional neural networks
A concatenating framework of shortcut convolutional neural networks
Yujian Li
Ting Zhang
Zhaoying Liu
Haihe Hu
18
10
0
03 Oct 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
110
2,506
0
19 Jul 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
26
288
0
25 Mar 2017
Building Fast and Compact Convolutional Neural Networks for Offline
  Handwritten Chinese Character Recognition
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition
Xuefeng Xiao
Lianwen Jin
Yafeng Yang
Weixin Yang
Jun Sun
Tianhai Chang
15
153
0
26 Feb 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
24
200
0
02 Jan 2017
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen
Shuchang Zhou
Zhe Liang
Yuxiang Zhang
Dieqiao Feng
Xinyu Zhou
Cong Yao
MQ
SSeg
37
10
0
01 Dec 2016
Grid Loss: Detecting Occluded Faces
Grid Loss: Detecting Occluded Faces
M. Opitz
Georg Waltner
Georg Poier
Horst Possegger
Horst Bischof
CVBM
41
76
0
01 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
63
3,659
0
31 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park
Sheng Li
W. Wen
P. T. P. Tang
Hai Helen Li
Yiran Chen
Pradeep Dubey
31
182
0
04 Aug 2016
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
64
2,950
0
01 Aug 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
27
40
0
31 Dec 2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Efficient Deep Feature Learning and Extraction via StochasticNets
M. Shafiee
P. Siva
Paul Fieguth
A. Wong
34
2
0
11 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DH
CVBM
32
141
0
07 Dec 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
25
892
0
20 Nov 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
36
26
0
21 Jul 2015
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
34
53
0
25 Nov 2014
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