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1812.03608
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Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
10 December 2018
Wei Wang
Liqiang Zhu
CVBM
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Papers citing
"Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression"
31 / 31 papers shown
Title
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
113
2,407
0
22 Aug 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,747
0
17 Apr 2017
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
309
27,018
0
20 Mar 2017
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
41
181
0
30 Oct 2016
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
175
3,687
0
31 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu
Rui Peng
Yu-Wing Tai
Chi-Keung Tang
52
889
0
12 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
402
37,704
0
20 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
156
4,342
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
168
29,646
0
08 Dec 2015
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
87
460
0
19 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
163
2,976
0
02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
219
8,793
0
01 Oct 2015
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
609
36,643
0
08 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
269
6,628
0
08 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
138
448
0
08 Jun 2015
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
54
794
0
26 May 2015
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
186
4,166
0
17 May 2015
Compressing Neural Networks with the Hashing Trick
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
121
1,191
0
19 Apr 2015
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
286
19,523
0
09 Mar 2015
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
50
49
0
11 Feb 2015
Deep Fried Convnets
Zichao Yang
Marcin Moczulski
Misha Denil
Nando de Freitas
Alex Smola
Le Song
Ziyu Wang
94
267
0
22 Dec 2014
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
52
882
0
19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
112
1,168
0
18 Dec 2014
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xinming Zhang
Jianhua Zou
Xiang Ming
Kaiming He
Jian Sun
3DV
66
263
0
16 Nov 2014
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
361
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.1K
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.2K
39,383
0
01 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
128
1,458
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
143
1,682
0
02 Apr 2014
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
245
6,267
0
16 Dec 2013
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