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Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
v1v2 (latest)

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

26 June 2014
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks"

29 / 379 papers shown
Title
Semi-supervised deep learning by metric embedding
Semi-supervised deep learning by metric embedding
Elad Hoffer
Nir Ailon
SSL
68
27
0
04 Nov 2016
Deep unsupervised learning through spatial contrasting
Deep unsupervised learning through spatial contrasting
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
86
22
0
02 Oct 2016
CliqueCNN: Deep Unsupervised Exemplar Learning
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel Angel Bautista
A. Sanakoyeu
Ekaterina Tikhoncheva
Bjorn Ommer
SSL
85
114
0
31 Aug 2016
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
M. Al-Shabi
W. Cheah
M. G. K. Ong
CVBM
77
126
0
09 Aug 2016
Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for
  Rotation-Invariant Representations
Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations
M. Giuffrida
Sotirios A. Tsaftaris
28
2
0
28 Jun 2016
Regularization With Stochastic Transformations and Perturbations for
  Deep Semi-Supervised Learning
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
BDL
119
1,116
0
14 Jun 2016
Recursive Autoconvolution for Unsupervised Learning of Convolutional
  Neural Networks
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks
Boris Knyazev
Erhardt Barth
T. Martinetz
SSL
40
0
0
02 Jun 2016
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
Angjoo Kanazawa
David Jacobs
Manmohan Chandraker
74
161
0
19 Apr 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
102
819
0
13 Apr 2016
Free-Space Detection with Self-Supervised and Online Trained Fully
  Convolutional Networks
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks
Willem P. Sanberg
Gijs Dubbelman
Peter H. N. de With
79
26
0
08 Apr 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
  Using a Large Scale Radiology Image Database
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
Isabella Nogues
Jianhua Yao
Ronald M. Summers
45
16
0
25 Mar 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DVMDE
133
1,532
0
16 Mar 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised
  Approach
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
Mattis Paulin
Julien Mairal
Matthijs Douze
Zaïd Harchaoui
Florent Perronnin
Cordelia Schmid
SSL
84
66
0
01 Mar 2016
Unsupervised High-level Feature Learning by Ensemble Projection for
  Semi-supervised Image Classification and Image Clustering
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering
Dengxin Dai
Luc Van Gool
97
31
0
02 Feb 2016
Learning Local Image Descriptors with Deep Siamese and Triplet
  Convolutional Networks by Minimising Global Loss Functions
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
B. V. Kumar
G. Carneiro
Ian Reid
SSL
101
312
0
31 Dec 2015
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings
  Using Abstract Scenes
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
Satwik Kottur
Ramakrishna Vedantam
José M. F. Moura
Devi Parikh
VLM
107
85
0
22 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
89
746
0
19 Nov 2015
Convolutional Clustering for Unsupervised Learning
Convolutional Clustering for Unsupervised Learning
Aysegül Dündar
Jonghoon Jin
Eugenio Culurciello
SSL
84
84
0
19 Nov 2015
Deep Linear Discriminant Analysis
Deep Linear Discriminant Analysis
Matthias Dorfer
Rainer Kelz
Gerhard Widmer
93
135
0
15 Nov 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
112
178
0
17 Aug 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
113
1,373
0
09 Jul 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
105
143
0
15 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
121
258
0
08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,627
0
18 May 2015
Learning image representations tied to ego-motion
Learning image representations tied to ego-motion
Dinesh Jayaraman
Kristen Grauman
SSL
91
246
0
08 May 2015
Denoising autoencoder with modulated lateral connections learns
  invariant representations of natural images
Denoising autoencoder with modulated lateral connections learns invariant representations of natural images
Antti Rasmus
T. Raiko
Harri Valpola
AI4CE
74
20
0
22 Dec 2014
An Analysis of Unsupervised Pre-training in Light of Recent Advances
An Analysis of Unsupervised Pre-training in Light of Recent Advances
T. Paine
Pooya Khorrami
Wei Han
Thomas S. Huang
SSL
140
56
0
20 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
199
676
0
21 Nov 2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata
Scott E. Reed
D. Walter
Honglak Lee
Bernt Schiele
107
1,022
0
30 Sep 2014
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