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Unsupervised Visual Representation Learning by Context Prediction
v1v2v3 (latest)

Unsupervised Visual Representation Learning by Context Prediction

IEEE International Conference on Computer Vision (ICCV), 2015
19 May 2015
Carl Doersch
Abhinav Gupta
Alexei A. Efros
    DRLSSL
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Visual Representation Learning by Context Prediction"

39 / 1,639 papers shown
Object-Centric Representation Learning from Unlabeled Videos
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao
Dinesh Jayaraman
Kristen Grauman
189
36
0
01 Dec 2016
Understanding image motion with group representations
Understanding image motion with group representations
Andrew Jaegle
Stephen Phillips
Daphne Ippolito
Kostas Daniilidis
GAN
122
1
0
01 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSLDRL
355
689
0
29 Nov 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
154
6
0
28 Nov 2016
Quad-networks: unsupervised learning to rank for interest point
  detection
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov
Akihito Seki
Lubor Ladicky
Torsten Sattler
Marc Pollefeys
3DPC
238
182
0
22 Nov 2016
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
328
464
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
149
159
0
19 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
302
331
0
06 Nov 2016
Deep unsupervised learning through spatial contrasting
Deep unsupervised learning through spatial contrasting
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
185
23
0
02 Oct 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam
Abhinav Gupta
SSL
140
23
0
18 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GANVGen
482
1,548
0
08 Sep 2016
CliqueCNN: Deep Unsupervised Exemplar Learning
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel Angel Bautista
A. Sanakoyeu
Ekaterina Tikhoncheva
Bjorn Ommer
SSL
180
116
0
31 Aug 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OODSSegVLMSSL
361
699
0
30 Aug 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
174
17
0
22 Jul 2016
Learning the semantic structure of objects from Web supervision
Learning the semantic structure of objects from Web supervision
David Novotny
Diane Larlus
Andrea Vedaldi
OCL
231
7
0
05 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational AutoencodersEuropean Conference on Computer Vision (ECCV), 2016
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
295
522
0
25 Jun 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Xicheng Zhang
Kibok Lee
Honglak Lee
SSL
228
145
0
21 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
359
1,209
0
14 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
677
4,412
0
12 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep LearningAllerton Conference on Communication, Control, and Computing (Allerton), 2016
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
467
1,884
0
31 May 2016
Leveraging Visual Question Answering for Image-Caption Ranking
Leveraging Visual Question Answering for Image-Caption Ranking
Xiaoyu Lin
Devi Parikh
CoGe
265
88
0
04 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
382
5,614
0
25 Apr 2016
Walk and Learn: Facial Attribute Representation Learning from Egocentric
  Video and Contextual Data
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
Jing Wang
Yu Cheng
Rogerio Feris
EgoVCVBM
204
116
0
21 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
249
864
0
13 Apr 2016
The Curious Robot: Learning Visual Representations via Physical
  Interactions
The Curious Robot: Learning Visual Representations via Physical Interactions
Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
Yong‐Lae Park
Abhinav Gupta
268
192
0
05 Apr 2016
Modeling Visual Compatibility through Hierarchical Mid-level Elements
Modeling Visual Compatibility through Hierarchical Mid-level Elements
José Oramas
Tinne Tuytelaars
84
21
0
31 Mar 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
755
3,165
0
30 Mar 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
161
68
0
28 Mar 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
625
3,662
0
28 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLMSSL
422
1,043
0
22 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
256
634
0
17 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
163
31
0
02 Feb 2016
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
365
406
0
28 Dec 2015
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
703
5,704
0
22 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
278
87
0
22 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
331
206
0
21 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
143
126
0
21 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
177
95
0
13 Nov 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
260
231
0
04 May 2015
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