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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"

50 / 379 papers shown
Title
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSLGAN
80
302
0
27 Nov 2018
Leveraging Random Label Memorization for Unsupervised Pre-Training
Leveraging Random Label Memorization for Unsupervised Pre-Training
Vinaychandran Pondenkandath
Michele Alberti
Sammer Puran
Rolf Ingold
Marcus Liwicki
NoLa
107
14
0
05 Nov 2018
Unsupervised representation learning using convolutional and stacked
  auto-encoders: a domain and cross-domain feature space analysis
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
G. B. Cavallari
Leo Sampaio Ferraz Ribeiro
M. Ponti
SSLOODDRL
53
29
0
01 Nov 2018
Unsupervised Identification of Disease Marker Candidates in Retinal OCT
  Imaging Data
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
Philipp Seeböck
S. Waldstein
S. Klimscha
Hrvoje Bogunović
T. Schlegl
Bianca S. Gerendas
R. Donner
U. Schmidt-Erfurth
Georg Langs
67
81
0
31 Oct 2018
Self-Supervised GAN to Counter Forgetting
Self-Supervised GAN to Counter Forgetting
Ting Chen
Xiaohua Zhai
N. Houlsby
CLLGANSSL
78
8
0
27 Oct 2018
Déjà Vu: an empirical evaluation of the memorization properties of
  ConvNets
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
49
18
0
17 Sep 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
66
86
0
17 Sep 2018
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video
  Action Recognition
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
Unaiza Ahsan
Rishi Madhok
Irfan Essa
SSL
58
109
0
22 Aug 2018
Perturbation Robust Representations of Topological Persistence Diagrams
Perturbation Robust Representations of Topological Persistence Diagrams
Anirudh Som
Kowshik Thopalli
Karthikeyan N. Ramamurthy
Vinay Venkataraman
Ankita Shukla
Pavan Turaga
38
16
0
26 Jul 2018
Coreset-Based Neural Network Compression
Coreset-Based Neural Network Compression
Abhimanyu Dubey
Moitreya Chatterjee
Narendra Ahuja
61
81
0
25 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSLVLM
125
853
0
17 Jul 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
205
128
0
13 Jun 2018
Less is More: Surgical Phase Recognition with Less Annotations through
  Self-Supervised Pre-training of CNN-LSTM Networks
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
86
72
0
22 May 2018
Automatic segmentation of the spinal cord and intramedullary multiple
  sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
C. Gros
B. Leener
A. Badji
J. Maranzano
Dominique Eden
...
J. Doyon
T. Shepherd
Erik Charlson
S. Narayanan
Julien Cohen-Adad
68
221
0
16 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
196
3,473
0
05 May 2018
Memory Matching Networks for One-Shot Image Recognition
Memory Matching Networks for One-Shot Image Recognition
Qi Cai
Yingwei Pan
Ting Yao
C. Yan
Tao Mei
VLM
75
265
0
23 Apr 2018
Unsupervised and semi-supervised learning with Categorical Generative
  Adversarial Networks assisted by Wasserstein distance for dermoscopy image
  Classification
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification
Xin Yi
Ekta Walia
P. Babyn
GANMedIm
65
51
0
10 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
272
3,304
0
21 Mar 2018
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
114
193
0
16 Mar 2018
Deep Unsupervised Learning of Visual Similarities
Deep Unsupervised Learning of Visual Similarities
A. Sanakoyeu
Miguel Angel Bautista
Bjorn Ommer
SSLDRL
79
34
0
22 Feb 2018
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual
  Learning
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
Andrew Owens
Jiajun Wu
Josh H. McDermott
William T. Freeman
Antonio Torralba
SSL
89
176
0
20 Dec 2017
Objects that Sound
Objects that Sound
Relja Arandjelović
Andrew Zisserman
ObjDVOS
118
530
0
18 Dec 2017
Context Augmentation for Convolutional Neural Networks
Context Augmentation for Convolutional Neural Networks
Aysegül Dündar
Ignacio Garcia Dorado
21
4
0
22 Nov 2017
Strengths and Weaknesses of Deep Learning Models for Face Recognition
  Against Image Degradations
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
Klemen Grm
Vitomir Štruc
Anais Artiges
Matthieu Caron
H. K. Ekenel
CVBM
69
196
0
04 Oct 2017
Unsupervised feature learning with discriminative encoder
Unsupervised feature learning with discriminative encoder
Gaurav Pandey
Ambedkar Dukkipati
SSL
49
6
0
03 Sep 2017
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
91
634
0
25 Aug 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
99
73
0
31 Jul 2017
Channel-Recurrent Autoencoding for Image Modeling
Channel-Recurrent Autoencoding for Image Modeling
Wenling Shang
Kihyuk Sohn
Yuandong Tian
DRLGAN
27
3
0
12 Jun 2017
Context encoding enables machine learning-based quantitative
  photoacoustics
Context encoding enables machine learning-based quantitative photoacoustics
Thomas Kirchner
J. Gröhl
Lena Maier-Hein
32
62
0
12 Jun 2017
Learning by Association - A versatile semi-supervised training method
  for neural networks
Learning by Association - A versatile semi-supervised training method for neural networks
Philip Häusser
A. Mordvintsev
Daniel Cremers
BDL
80
121
0
03 Jun 2017
Self-supervised learning of visual features through embedding images
  into text topic spaces
Self-supervised learning of visual features through embedding images into text topic spaces
L. G. I. Bigorda
Yash J. Patel
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
72
124
0
24 May 2017
Look, Listen and Learn
Look, Listen and Learn
Relja Arandjelović
Andrew Zisserman
SSL
127
907
0
23 May 2017
Unsupervised Learning by Predicting Noise
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
Armand Joulin
OODSSL
60
296
0
18 Apr 2017
Mining Object Parts from CNNs via Active Question-Answering
Mining Object Parts from CNNs via Active Question-Answering
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
62
25
0
11 Apr 2017
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Miguel Angel Bautista
A. Sanakoyeu
Bjorn Ommer
DRLSSL
94
28
0
07 Apr 2017
Smart Mining for Deep Metric Learning
Smart Mining for Deep Metric Learning
Ben Harwood
B. V. Kumar
G. Carneiro
Ian Reid
Tom Drummond
97
350
0
05 Apr 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
74
162
0
27 Mar 2017
Learning Discrete Representations via Information Maximizing
  Self-Augmented Training
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu
Takeru Miyato
Seiya Tokui
Eiichi Matsumoto
Masashi Sugiyama
111
454
0
28 Feb 2017
Activation Ensembles for Deep Neural Networks
Activation Ensembles for Deep Neural Networks
Mark Harmon
Diego Klabjan
179
35
0
24 Feb 2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic
  Correspondence
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
Seungryong Kim
Dongbo Min
Bumsub Ham
Sangryul Jeon
Stephen Lin
Kwanghoon Sohn
81
132
0
03 Feb 2017
Unsupervised Joint Mining of Deep Features and Image Labels for
  Large-scale Radiology Image Categorization and Scene Recognition
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
M. Bagheri
Isabella Nogues
Jianhua Yao
Ronald M. Summers
85
40
0
23 Jan 2017
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic
  Images
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
Aron Yu
Kristen Grauman
84
150
0
19 Dec 2016
Deep TEN: Texture Encoding Network
Deep TEN: Texture Encoding Network
Hang Zhang
Jia Xue
Kristin J. Dana
3DV
153
232
0
08 Dec 2016
Identifying and Categorizing Anomalies in Retinal Imaging Data
Identifying and Categorizing Anomalies in Retinal Imaging Data
Philipp Seeböck
S. Waldstein
S. Klimscha
Bianca S. Gerendas
R. Donner
T. Schlegl
U. Schmidt-Erfurth
Georg Langs
MedIm
76
53
0
02 Dec 2016
Learning Deep Representations Using Convolutional Auto-encoders with
  Symmetric Skip Connections
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip Connections
Jianfeng Dong
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SSL
23
6
0
28 Nov 2016
Spatial contrasting for deep unsupervised learning
Spatial contrasting for deep unsupervised learning
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
84
3
0
21 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
90
152
0
19 Nov 2016
S3Pool: Pooling with Stochastic Spatial Sampling
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai
Hui Wu
Abhishek Kumar
Yu Cheng
Y. Lu
Zhongfei Zhang
Rogerio Feris
58
79
0
16 Nov 2016
CIFAR-10: KNN-based Ensemble of Classifiers
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga
Ola S. Ali
Hager Rady
Mohamed Moustafa
FedML
49
66
0
15 Nov 2016
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
84
70
0
14 Nov 2016
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