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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"

50 / 1,640 papers shown
Are we pretraining it right? Digging deeper into visio-linguistic
  pretraining
Are we pretraining it right? Digging deeper into visio-linguistic pretraining
Amanpreet Singh
Vedanuj Goswami
Devi Parikh
VLM
152
48
0
19 Apr 2020
Self-Supervised Representation Learning on Document Images
Self-Supervised Representation Learning on Document ImagesInternational Workshop on Document Analysis Systems (DAS), 2020
Adrian Cosma
Mihai Ghidoveanu
Michael Panaitescu-Liess
Marius Popescu
SSL
145
15
0
18 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World ChallengesInternational Conference on Pattern Recognition (ICPR), 2020
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPCSSL
177
43
0
15 Apr 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
359
58
0
14 Apr 2020
SpeedNet: Learning the Speediness in Videos
SpeedNet: Learning the Speediness in VideosComputer Vision and Pattern Recognition (CVPR), 2020
Sagie Benaim
Ariel Ephrat
Oran Lang
Inbar Mosseri
William T. Freeman
Michael Rubinstein
Michal Irani
Tali Dekel
275
277
0
13 Apr 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution
  Shift-based Data Augmentation
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation
Tiexin Qin
Wenbin Li
Yinghuan Shi
Yang Gao
136
18
0
13 Apr 2020
Gradients as Features for Deep Representation Learning
Gradients as Features for Deep Representation LearningInternational Conference on Learning Representations (ICLR), 2020
Fangzhou Mu
Yingyu Liang
Yin Li
OOD
183
43
0
12 Apr 2020
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ
  Tests
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ TestsNeural Networks (NN), 2020
Hyunjae Kim
Yookyung Koh
Jinheon Baek
Jaewoo Kang
117
5
0
11 Apr 2020
Learning to Visually Navigate in Photorealistic Environments Without any
  Supervision
Learning to Visually Navigate in Photorealistic Environments Without any Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Arthur Szlam
Armand Joulin
Piotr Bojanowski
SSL
99
12
0
10 Apr 2020
State-Relabeling Adversarial Active Learning
State-Relabeling Adversarial Active LearningComputer Vision and Pattern Recognition (CVPR), 2020
Beichen Zhang
Liang Li
Shijie Yang
Shuhui Wang
Zhengjun Zha
Qingming Huang
149
140
0
10 Apr 2020
Models Genesis
Models Genesis
Zongwei Zhou
V. Sodha
Jiaxuan Pang
Michael B. Gotway
Jianming Liang
MedIm
261
103
0
09 Apr 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
358
728
0
09 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition
PatchVAE: Learning Local Latent Codes for RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
SSLDRL
111
20
0
07 Apr 2020
Motion-supervised Co-Part Segmentation
Motion-supervised Co-Part SegmentationInternational Conference on Pattern Recognition (ICPR), 2020
Aliaksandr Siarohin
Subhankar Roy
Stéphane Lathuilière
Sergey Tulyakov
Elisa Ricci
Andrii Zadaianchuk
SSL
153
39
0
07 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data
  Acquisition, Segmentation and Diagnosis for COVID-19
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19IEEE Reviews in Biomedical Engineering (RBME), 2020
F. Shi
Jun Wang
Jun Shi
Zi-xiang Wu
Qian Wang
Zhenyu Tang
Kelei He
Yinghuan Shi
Dinggang Shen
272
1,100
0
06 Apr 2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Steering Self-Supervised Feature Learning Beyond Local Pixel StatisticsComputer Vision and Pattern Recognition (CVPR), 2020
Simon Jenni
Hailin Jin
Paolo Favaro
SSL
176
50
0
05 Apr 2020
Deep Multimodal Feature Encoding for Video Ordering
Deep Multimodal Feature Encoding for Video Ordering
Vivek Sharma
Makarand Tapaswi
Rainer Stiefelhagen
173
11
0
05 Apr 2020
Clustering based Contrastive Learning for Improving Face Representations
Clustering based Contrastive Learning for Improving Face RepresentationsIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020
Vivek Sharma
Makarand Tapaswi
M. Sarfraz
Rainer Stiefelhagen
CVBMSSL
207
52
0
05 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?Computer Vision and Pattern Recognition (CVPR), 2020
Alejandro Newell
Gaowen Liu
SSL
239
145
0
31 Mar 2020
Longitudinal Pooling & Consistency Regularization to Model Disease
  Progression from MRIs
Longitudinal Pooling & Consistency Regularization to Model Disease Progression from MRIsIEEE journal of biomedical and health informatics (JBHI), 2020
J. Ouyang
Qingyu Zhao
E. Sullivan
A. Pfefferbaum
S. Tapert
Ehsan Adeli
K. Pohl
158
23
0
31 Mar 2020
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
Edge Guided GANs with Contrastive Learning for Semantic Image SynthesisInternational Conference on Learning Representations (ICLR), 2020
Hao Tang
Xiaojuan Qi
Guolei Sun
Dan Xu
Andrii Zadaianchuk
Radu Timofte
Luc Van Gool
GAN
265
14
0
31 Mar 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex DecompositionsEuropean Conference on Computer Vision (ECCV), 2020
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
230
47
0
30 Mar 2020
Laplacian Denoising Autoencoder
Laplacian Denoising Autoencoder
Jianbo Jiao
Linchao Bao
Yunchao Wei
Shengfeng He
Humphrey Shi
Rynson W. H. Lau
Thomas S. Huang
SSL
121
3
0
30 Mar 2020
Improving out-of-distribution generalization via multi-task
  self-supervised pretraining
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Isabela Albuquerque
Nikhil Naik
Junnan Li
N. Keskar
R. Socher
SSLOOD
188
44
0
30 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point CloudsComputer Vision and Pattern Recognition (CVPR), 2020
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
155
144
0
29 Mar 2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for
  Multiview Object Recognition
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Chih-Hui Ho
Bo Liu
Tz-Ying Wu
Nuno Vasconcelos
179
8
0
28 Mar 2020
Semantic Implicit Neural Scene Representations With Semi-Supervised
  Training
Semantic Implicit Neural Scene Representations With Semi-Supervised Training
Amit Kohli
Vincent Sitzmann
Gordon Wetzstein
3DPC
207
14
0
28 Mar 2020
A Collective Learning Framework to Boost GNN Expressiveness
A Collective Learning Framework to Boost GNN Expressiveness
Mengyue Hang
Jennifer Neville
Bruno Ribeiro
AI4CE
279
4
0
26 Mar 2020
Are Labels Necessary for Neural Architecture Search?
Are Labels Necessary for Neural Architecture Search?European Conference on Computer Vision (ECCV), 2020
Chenxi Liu
Piotr Dollár
Kaiming He
Ross B. Girshick
Alan Yuille
Saining Xie
201
78
0
26 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
350
145
0
26 Mar 2020
One-Shot Informed Robotic Visual Search in the Wild
One-Shot Informed Robotic Visual Search in the WildIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Karim Koreitem
Florian Shkurti
Travis Manderson
Wei-Di Chang
J. A. G. Higuera
Gregory Dudek
133
13
0
22 Mar 2020
Temporally Coherent Embeddings for Self-Supervised Video Representation
  Learning
Temporally Coherent Embeddings for Self-Supervised Video Representation LearningInternational Conference on Pattern Recognition (ICPR), 2020
Joshua Knights
Ben Harwood
Daniel Ward
Anthony Vanderkop
Olivia Mackenzie-Ross
Peyman Moghadam
AI4TS
380
39
0
21 Mar 2020
Semi-supervised few-shot learning for medical image segmentation
Semi-supervised few-shot learning for medical image segmentation
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
245
71
0
18 Mar 2020
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Self-supervised Point Set Local Descriptors for Point Cloud RegistrationItalian National Conference on Sensors (INS), 2020
Yijun Yuan
Jiawei Hou
A. Nüchter
Sören Schwertfeger
3DPC
159
27
0
11 Mar 2020
On Compositions of Transformations in Contrastive Self-Supervised
  Learning
On Compositions of Transformations in Contrastive Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2020
Mandela Patrick
Yuki M. Asano
Polina Kuznetsova
Ruth C. Fong
João F. Henriques
Geoffrey Zweig
Andrea Vedaldi
258
53
0
09 Mar 2020
Self-Supervised Visual Learning by Variable Playback Speeds Prediction
  of a Video
Self-Supervised Visual Learning by Variable Playback Speeds Prediction of a VideoIEEE Access (IEEE Access), 2020
Hyeon Cho
Taehoon Kim
H. Chang
Wonjun Hwang
131
20
0
05 Mar 2020
Self-Supervised Graph Representation Learning via Global Context
  Prediction
Self-Supervised Graph Representation Learning via Global Context Prediction
Zhen Peng
Yixiang Dong
Minnan Luo
Xiao-Ming Wu
Q. Zheng
SSL
290
70
0
03 Mar 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual WordsComputer Vision and Pattern Recognition (CVPR), 2020
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
337
125
0
27 Feb 2020
Visual Commonsense R-CNN
Visual Commonsense R-CNNComputer Vision and Pattern Recognition (CVPR), 2020
Tan Wang
Jianqiang Huang
Hanwang Zhang
Qianru Sun
SSLObjDCML
270
280
0
27 Feb 2020
Weakly supervised discriminative feature learning with state information
  for person identification
Weakly supervised discriminative feature learning with state information for person identificationComputer Vision and Pattern Recognition (CVPR), 2020
Hong-Xing Yu
Wei-Shi Zheng
110
18
0
27 Feb 2020
A Comprehensive Approach to Unsupervised Embedding Learning based on AND
  Algorithm
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Sungwon Han
Yizhan Xu
Sungwon Park
M. Cha
Cheng-Te Li
SSL
111
3
0
26 Feb 2020
A Multi-view Perspective of Self-supervised Learning
A Multi-view Perspective of Self-supervised Learning
Chuanxing Geng
Zheng-Hua Tan
Songcan Chen
SSL
149
1
0
22 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised
  Representation Learning
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit
Huan Wang
Caiming Xiong
R. Socher
Yoshua Bengio
SSL
102
2
0
20 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning
Automatic Shortcut Removal for Self-Supervised Representation LearningInternational Conference on Machine Learning (ICML), 2020
Matthias Minderer
Olivier Bachem
N. Houlsby
Michael Tschannen
SSL
272
77
0
20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image ClassificationIEEE Access (IEEE Access), 2020
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSLVLM
477
182
0
20 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision
Strength from Weakness: Fast Learning Using Weak SupervisionInternational Conference on Machine Learning (ICML), 2020
Joshua Robinson
Stefanie Jegelka
S. Sra
233
35
0
19 Feb 2020
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self SupervisionNeural Information Processing Systems (NeurIPS), 2020
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Kate Saenko
OODTTA
355
371
0
19 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.3K
22,594
0
13 Feb 2020
Self-Supervised Linear Motion Deblurring
Self-Supervised Linear Motion DeblurringIEEE Robotics and Automation Letters (RA-L), 2020
Peidong Liu
J. Janai
Marc Pollefeys
Torsten Sattler
Andreas Geiger
167
35
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10 Feb 2020
Semi-Supervised Class Discovery
Semi-Supervised Class Discovery
Jeremy Nixon
J. Liu
David Berthelot
266
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0
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