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Unsupervised Visual Representation Learning by Context Prediction

Unsupervised Visual Representation Learning by Context Prediction

19 May 2015
Carl Doersch
Abhinav Gupta
Alexei A. Efros
    DRL
    SSL
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Papers citing "Unsupervised Visual Representation Learning by Context Prediction"

49 / 749 papers shown
Title
Transitive Invariance for Self-supervised Visual Representation Learning
Transitive Invariance for Self-supervised Visual Representation Learning
Xihuai Wang
Kaiming He
Abhinav Gupta
OOD
SSL
26
179
0
09 Aug 2017
Self-supervised Learning of Pose Embeddings from Spatiotemporal
  Relations in Videos
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
Ömer Sümer
Tobias Dencker
Bjorn Ommer
3DH
SSL
19
27
0
07 Aug 2017
Unsupervised Representation Learning by Sorting Sequences
Unsupervised Representation Learning by Sorting Sequences
Hsin-Ying Lee
Jia-Bin Huang
Maneesh Kumar Singh
Ming-Hsuan Yang
SSL
DRL
32
534
0
03 Aug 2017
Unsupervised Video Understanding by Reconciliation of Posture
  Similarities
Unsupervised Video Understanding by Reconciliation of Posture Similarities
Timo Milbich
Miguel Angel Bautista
E. Sutter
Bjorn Ommer
SSL
24
21
0
03 Aug 2017
Semantic Segmentation with Reverse Attention
Semantic Segmentation with Reverse Attention
Qin Huang
Chunyang Xia
Chi-Hao Wu
Siyang Li
Yeon-Chang Wang
Yuhang Song
C.-C. Jay Kuo
SSeg
39
66
0
20 Jul 2017
Unsupervised learning of object frames by dense equivariant image
  labelling
Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCL
27
26
0
09 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
25
121
0
03 Jun 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRL
CoGe
OOD
36
552
0
31 May 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
22
124
0
24 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
72
2,401
0
15 May 2017
Unsupervised learning of object landmarks by factorized spatial
  embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCL
SSL
17
161
0
05 May 2017
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Miguel Angel Bautista
A. Sanakoyeu
Bjorn Ommer
DRL
SSL
22
28
0
07 Apr 2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation
  in Histopathology Images
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
L. Hou
Vu Nguyen
Dimitris Samaras
Tahsin M. Kurc
Yi Gao
Tianhao Zhao
Joel H. Saltz
MedIm
35
143
0
03 Apr 2017
Transfer of View-manifold Learning to Similarity Perception of Novel
  Objects
Transfer of View-manifold Learning to Similarity Perception of Novel Objects
Xingyu Lin
Hao Wang
Zhihao Li
Yimeng Zhang
Alan Yuille
T. Lee
28
13
0
31 Mar 2017
Unsupervised Holistic Image Generation from Key Local Patches
Unsupervised Holistic Image Generation from Key Local Patches
Donghoon Lee
Sangdoo Yun
Sungjoon Choi
Hwiyeon Yoo
Ming-Hsuan Yang
Songhwai Oh
GAN
32
11
0
31 Mar 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
65
494
0
11 Mar 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
32
120
0
21 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
29
40
0
23 Jan 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
32
193
0
07 Jan 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
34
476
0
06 Jan 2017
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer
Parsa Mahmoudieh
Max Argus
Trevor Darrell
SSL
24
186
0
21 Dec 2016
Learning Features by Watching Objects Move
Learning Features by Watching Objects Move
Deepak Pathak
Ross B. Girshick
Piotr Dollár
Trevor Darrell
Bharath Hariharan
SSL
VOS
OCL
36
522
0
19 Dec 2016
Deep Image Category Discovery using a Transferred Similarity Function
Deep Image Category Discovery using a Transferred Similarity Function
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
35
15
0
05 Dec 2016
Action Recognition with Dynamic Image Networks
Action Recognition with Dynamic Image Networks
Hakan Bilen
Basura Fernando
Efstratios Gavves
Andrea Vedaldi
FAtt
29
222
0
02 Dec 2016
Object-Centric Representation Learning from Unlabeled Videos
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao
Dinesh Jayaraman
Kristen Grauman
24
36
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
SSL
DRL
31
666
0
29 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
30
172
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
19
450
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
27
150
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
46
339
0
06 Nov 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
29
23
0
18 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
106
1,462
0
08 Sep 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
62
671
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
20
17
0
22 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 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
106
4,215
0
12 Jun 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
55
141
0
31 May 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
EgoV
CVBM
22
115
0
21 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
23
186
0
05 Apr 2016
Modeling Visual Compatibility through Hierarchical Mid-level Elements
Modeling Visual Compatibility through Hierarchical Mid-level Elements
José Oramas
Tinne Tuytelaars
8
21
0
31 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
28
66
0
28 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
34
1,011
0
22 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xihuai Wang
Abhinav Gupta
GAN
33
617
0
17 Mar 2016
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
44
382
0
28 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
38
85
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
47
202
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
22
122
0
21 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
21
91
0
13 Nov 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xihuai Wang
Abhinav Gupta
SSL
46
232
0
04 May 2015
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