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Factorized Bilinear Models for Image Recognition
v1v2 (latest)

Factorized Bilinear Models for Image Recognition

17 November 2016
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
ArXiv (abs)PDFHTML

Papers citing "Factorized Bilinear Models for Image Recognition"

27 / 27 papers shown
Title
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
165
941
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
362
8,005
0
23 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
755
37,927
0
20 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
217
2,365
0
30 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,204
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
200
2,248
0
03 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
311
5,539
0
23 Nov 2015
Compact Bilinear Pooling
Compact Bilinear Pooling
Yang Gao
Oscar Beijbom
Ning Zhang
Trevor Darrell
85
792
0
19 Nov 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
165
1,687
0
22 Jul 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
AIMatObjD
540
62,477
0
04 Jun 2015
One-to-many face recognition with bilinear CNNs
One-to-many face recognition with bilinear CNNs
Aruni Roy Chowdhury
Tsung-Yu Lin
Subhransu Maji
Erik Learned-Miller
CVBM
119
115
0
03 Jun 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
142
1,877
0
29 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,357
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
355
18,661
0
06 Feb 2015
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
Jimmy S. J. Ren
Li Xu
MQ
81
85
0
29 Jan 2015
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
330
3,906
0
19 Dec 2014
cuDNN: Efficient Primitives for Deep Learning
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
140
1,849
0
03 Oct 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
354
2,243
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
496
43,717
0
17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
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
VLMObjD
1.7K
39,637
0
01 Sep 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
226
3,420
0
14 May 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
304
6,285
0
16 Dec 2013
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
151
2,695
0
14 Nov 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
605
15,907
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
295
26,223
0
11 Nov 2013
Random Feature Maps for Dot Product Kernels
Random Feature Maps for Dot Product Kernels
Purushottam Kar
H. Karnick
111
257
0
31 Jan 2012
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