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ViP: Virtual Pooling for Accelerating CNN-based Image Classification and
  Object Detection

ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection

19 June 2019
Zhuo Chen
Jiyuan Zhang
Ruizhou Ding
Diana Marculescu
ArXivPDFHTML

Papers citing "ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection"

26 / 26 papers shown
Title
Understanding the Impact of Label Granularity on CNN-based Image
  Classification
Understanding the Impact of Label Granularity on CNN-based Image Classification
Zhuo Chen
Ruizhou Ding
Ting-Wu Chin
Diana Marculescu
38
35
0
21 Jan 2019
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAML
VLM
45
960
0
21 Aug 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 Li
Song Han
65
1,348
0
10 Feb 2018
LightNN: Filling the Gap between Conventional Deep Neural Networks and
  Binarized Networks
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks
Ruizhou Ding
Z. Liu
Rongye Shi
Diana Marculescu
R. D. Blanton
MQ
33
37
0
02 Dec 2017
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural
  Networks
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
E. Cai
Da-Cheng Juan
Dimitrios Stamoulis
Diana Marculescu
20
131
0
15 Oct 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
35
1,758
0
20 Jul 2017
Training Quantized Nets: A Deeper Understanding
Training Quantized Nets: A Deeper Understanding
Hao Li
Soham De
Zheng Xu
Christoph Studer
H. Samet
Tom Goldstein
MQ
37
210
0
07 Jun 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
380
1,050
0
10 Feb 2017
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
115
1,035
0
04 Dec 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
114
2,331
0
12 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
310
37,704
0
20 May 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
131
4,342
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
124
1,349
0
08 Feb 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
102
2,453
0
04 Feb 2016
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
65
1,163
0
21 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
139
2,976
0
02 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
226
6,628
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
408
61,900
0
04 Jun 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
41
137
0
30 Apr 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
174
4,653
0
21 Dec 2014
Speeding-up Convolutional Neural Networks Using Fine-tuned
  CP-Decomposition
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
V. Lebedev
Yaroslav Ganin
M. Rakhuba
Ivan Oseledets
Victor Lempitsky
42
882
0
19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
920
99,991
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
188
14,703
0
20 Jun 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
123
1,458
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
125
1,682
0
02 Apr 2014
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