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DeepPermNet: Visual Permutation Learning

DeepPermNet: Visual Permutation Learning

10 April 2017
Rodrigo Santa Cruz
Basura Fernando
A. Cherian
Stephen Gould
    SSL
ArXivPDFHTML

Papers citing "DeepPermNet: Visual Permutation Learning"

20 / 20 papers shown
Title
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles
Dror Sholomon
Omid David
N. Netanyahu
30
81
0
17 Nov 2017
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando
Hakan Bilen
E. Gavves
Stephen Gould
SSL
40
450
0
21 Nov 2016
End-to-End Localization and Ranking for Relative Attributes
End-to-End Localization and Ranking for Relative Attributes
Krishna Kumar Singh
Yong Jae Lee
102
76
0
09 Aug 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
87
1,827
0
31 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
405
37,704
0
20 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
58
5,277
0
25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
145
2,973
0
30 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
120
3,527
0
28 Mar 2016
Deep Relative Attributes
Deep Relative Attributes
Yaser Souri
Erfan Noury
Ehsan Adeli
GAN
3DH
OOD
FAtt
33
105
0
13 Dec 2015
MidRank: Learning to rank based on subsequences
MidRank: Learning to rank based on subsequences
Basura Fernando
E. Gavves
Damien Muselet
Tinne Tuytelaars
23
11
0
29 Nov 2015
Learning visual groups from co-occurrences in space and time
Learning visual groups from co-occurrences in space and time
Phillip Isola
Daniel Zoran
Dilip Krishnan
Edward H. Adelson
53
122
0
21 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
289
7,361
0
05 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
161
2,777
0
19 May 2015
Learning to See by Moving
Learning to See by Moving
Pulkit Agrawal
João Carreira
Jitendra Malik
SSL
73
553
0
07 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
284
24,976
0
30 Apr 2015
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets
S. Shankar
Vikas Garg
R. Cipolla
35
60
0
19 Apr 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
173
8,309
0
06 Nov 2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit
  Models
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
E. Kaufmann
Olivier Cappé
Aurélien Garivier
140
1,021
0
16 Jul 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
214
7,252
0
20 Dec 2013
Ranking via Sinkhorn Propagation
Ranking via Sinkhorn Propagation
Ryan P. Adams
R. Zemel
88
146
0
09 Jun 2011
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