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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 / 1,639 papers shown
Multi-view Multi-behavior Contrastive Learning in Recommendation
Multi-view Multi-behavior Contrastive Learning in RecommendationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2022
Yiqing Wu
Ruobing Xie
Yongchun Zhu
Xiang Ao
Xin Chen
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Qing He
201
107
0
20 Mar 2022
A Study on Robustness to Perturbations for Representations of
  Environmental Sound
A Study on Robustness to Perturbations for Representations of Environmental SoundEuropean Signal Processing Conference (EUSIPCO), 2022
Sangeeta Srivastava
Ho-Hsiang Wu
Joao Rulff
Magdalena Fuentes
M. Cartwright
Claudio Silva
Anish Arora
J. P. Bello
203
7
0
20 Mar 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationInternational Journal of Computer Vision (IJCV), 2022
Junwen Pan
Q. Hu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
206
81
0
19 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Renhao Wang
Hang Zhao
Yang Gao
SSL
242
1
0
17 Mar 2022
Object discovery and representation networks
Object discovery and representation networksEuropean Conference on Computer Vision (ECCV), 2022
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
421
95
0
16 Mar 2022
Weak Augmentation Guided Relational Self-Supervised Learning
Weak Augmentation Guided Relational Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
328
6
0
16 Mar 2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Unsupervised Semantic Segmentation by Distilling Feature CorrespondencesInternational Conference on Learning Representations (ICLR), 2022
Mark Hamilton
Zhoutong Zhang
Bharath Hariharan
Noah Snavely
William T. Freeman
240
297
0
16 Mar 2022
One Network Doesn't Rule Them All: Moving Beyond Handcrafted
  Architectures in Self-Supervised Learning
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning
Sharath Girish
Debadeepta Dey
Neel Joshi
Vibhav Vineet
S. Shah
C. C. T. Mendes
Abhinav Shrivastava
Yale Song
SSL
231
2
0
15 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological ImagesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSLMedIm
224
28
0
15 Mar 2022
Masked Visual Pre-training for Motor Control
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
346
286
0
11 Mar 2022
Towards Self-Supervised Learning of Global and Object-Centric
  Representations
Towards Self-Supervised Learning of Global and Object-Centric Representations
Federico Baldassarre
Hossein Azizpour
SSL3DPCOCL
208
13
0
11 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of
  Pretrained Models to Classification Tasks
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksEuropean Conference on Computer Vision (ECCV), 2022
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
210
34
0
10 Mar 2022
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text
  Recognition and Document Enhancement
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document EnhancementAAAI Conference on Artificial Intelligence (AAAI), 2022
Mohamed Ali Souibgui
Sanket Biswas
Andrés Mafla
Ali Furkan Biten
Alicia Fornés
Yousri Kessentini
Josep Lladós
Lluís Gómez
Dimosthenis Karatzas
241
27
0
09 Mar 2022
Self-Supervision, Remote Sensing and Abstraction: Representation
  Learning Across 3 Million Locations
Self-Supervision, Remote Sensing and Abstraction: Representation Learning Across 3 Million LocationsInternational Conference on Digital Image Computing: Techniques and Applications (DICTA), 2021
Sachith Seneviratne
K. Nice
J. Wijnands
Mark Stevenson
Jason Thompson
SSL
157
8
0
08 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
The Unsurprising Effectiveness of Pre-Trained Vision Models for ControlInternational Conference on Machine Learning (ICML), 2022
Simone Parisi
Aravind Rajeswaran
Senthil Purushwalkam
Abhinav Gupta
LM&Ro
299
221
0
07 Mar 2022
Regularising for invariance to data augmentation improves supervised
  learning
Regularising for invariance to data augmentation improves supervised learning
Aleksander Botev
Matthias Bauer
Soham De
179
14
0
07 Mar 2022
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation
  Learning
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xuelong Li
Hongyuan Zhang
Rui Zhang
194
30
0
04 Mar 2022
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through
  Self-Supervision With Supervoxels
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels
Stine Hansen
Srishti Gautam
Robert Jenssen
Michael C. Kampffmeyer
316
120
0
03 Mar 2022
A study on the distribution of social biases in self-supervised learning
  visual models
A study on the distribution of social biases in self-supervised learning visual modelsComputer Vision and Pattern Recognition (CVPR), 2022
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
228
21
0
03 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression RepresentationsComputer Vision and Pattern Recognition (CVPR), 2022
Aishik Konwer
Xuan Xu
Joseph Bae
Chaoyu Chen
Prateek Prasanna
MedIm
262
21
0
02 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A SurveyPatterns (Patterns), 2022
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
238
129
0
02 Mar 2022
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point
  Cloud Upsampling
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud UpsamplingIEEE Transactions on Image Processing (IEEE TIP), 2022
Hao Liu
Hui Yuan
Xianqiang Lyu
R. Hamzaoui
Wei Gao
3DPC
180
108
0
02 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
Lars Maaløe
Christian Igel
BDLAI4TSSSL
240
13
0
01 Mar 2022
Semi-supervised Deep Learning for Image Classification with Distribution
  Mismatch: A Survey
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A SurveyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
OOD
264
22
0
01 Mar 2022
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
Refining Self-Supervised Learning in Imaging: Beyond Linear MetricInternational Conference on Information Photonics (ICIP), 2022
Bo-Wei Jiang
Hamid Krim
Tianfu Wu
D. Cansever
SSL
261
3
0
25 Feb 2022
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual
  Speech Recognition
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xichen Pan
Peiyu Chen
Yichen Gong
Helong Zhou
Xinbing Wang
Zhouhan Lin
SSL
209
41
0
24 Feb 2022
Fully Self-Supervised Learning for Semantic Segmentation
Fully Self-Supervised Learning for Semantic Segmentation
Yuan Wang
Wei Zhuo
Yucong Li
Zhi Wang
Qi Ju
Wenwu Zhu
SSL
127
17
0
24 Feb 2022
Vision-Language Pre-Training with Triple Contrastive Learning
Vision-Language Pre-Training with Triple Contrastive LearningComputer Vision and Pattern Recognition (CVPR), 2022
Jinyu Yang
Jiali Duan
Son N. Tran
Yi Xu
Sampath Chanda
Liqun Chen
Belinda Zeng
Trishul Chilimbi
Junzhou Huang
VLM
564
357
0
21 Feb 2022
Masked prediction tasks: a parameter identifiability view
Masked prediction tasks: a parameter identifiability view
Bingbin Liu
Daniel J. Hsu
Pradeep Ravikumar
Andrej Risteski
SSLOOD
147
4
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Vision Models Are More Robust And Fair When Pretrained On Uncurated
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Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
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Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
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VLMSSL
413
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Planckian Jitter: countering the color-crippling effects of color jitter
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Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised trainingInternational Conference on Learning Representations (ICLR), 2022
Simone Zini
Alex Gomez-Villa
M. Buzzelli
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Andrew D. Bagdanov
Joost van de Weijer
112
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Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
Unlabeled Data Help: Minimax Analysis and Adversarial RobustnessInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yue Xing
Qifan Song
Guang Cheng
163
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UserBERT: Modeling Long- and Short-Term User Preferences via
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UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision
Tianyu Li
Ali Cevahir
Derek Cho
Hao Gong
Duy Nguyen
B. Stenger
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82
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Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Open-set Adversarial Defense with Clean-Adversarial Mutual LearningInternational Journal of Computer Vision (IJCV), 2022
Rui Shao
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Vishal M. Patel
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202
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TransformNet: Self-supervised representation learning through predicting
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103
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Cross-level Contrastive Learning and Consistency Constraint for
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Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022
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197
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Context Autoencoder for Self-Supervised Representation Learning
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Xiaokang Chen
Mingyu Ding
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Ying Xin
Shentong Mo
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Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
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484
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Bootstrapped Representation Learning for Skeleton-Based Action
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Relative Position Prediction as Pre-training for Text Encoders
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HCSC: Hierarchical Contrastive Selective Coding
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293
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Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
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Self-supervised Graphs for Audio Representation Learning with Limited
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Self Semi Supervised Neural Architecture Search for Semantic
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