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Master's Thesis : Deep Learning for Visual Recognition

Master's Thesis : Deep Learning for Visual Recognition

18 October 2016
Rémi Cadène
Nicolas Thome
Matthieu Cord
ArXiv (abs)PDFHTML

Papers citing "Master's Thesis : Deep Learning for Visual Recognition"

15 / 15 papers shown
Title
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
174
113
0
13 Jul 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
183
3,706
0
10 Jun 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
66
107
0
20 May 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
211
5,217
0
22 Dec 2015
Traffic Sign Classification Using Deep Inception Based Convolutional
  Networks
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
Mrinal Haloi
39
42
0
10 Nov 2015
Weakly Supervised Deep Detection Networks
Weakly Supervised Deep Detection Networks
Hakan Bilen
Andrea Vedaldi
WSOD
93
790
0
09 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
306
7,389
0
05 Jun 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
463
43,328
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Deep learning with Elastic Averaging SGD
Deep learning with Elastic Averaging SGD
Sixin Zhang
A. Choromańska
Yann LeCun
FedML
96
611
0
20 Dec 2014
Locally Scale-Invariant Convolutional Neural Networks
Locally Scale-Invariant Convolutional Neural Networks
Angjoo Kanazawa
Abhishek Sharma
David Jacobs
SSL
67
133
0
16 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
246
16,373
0
30 Apr 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
153
5,007
0
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
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