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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
Unsupervised Visual Representation Learning by Synchronous Momentum
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Unsupervised Visual Representation Learning by Synchronous Momentum GroupingEuropean Conference on Computer Vision (ECCV), 2022
Bo Pang
Yifan Zhang
Yaoyi Li
Jia Cai
Cewu Lu
SSL
193
33
0
13 Jul 2022
Synergistic Self-supervised and Quantization Learning
Synergistic Self-supervised and Quantization LearningEuropean Conference on Computer Vision (ECCV), 2022
Yunhao Cao
Peiqin Sun
Yechang Huang
Jianxin Wu
Shuchang Zhou
MQ
120
14
0
12 Jul 2022
Dual Contrastive Learning for Spatio-temporal Representation
Dual Contrastive Learning for Spatio-temporal RepresentationACM Multimedia (ACM MM), 2022
Shuangrui Ding
Rui Qian
H. Xiong
AI4TSSSL
150
25
0
12 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and
  Semantic Segmentation
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ashraful Islam
Bengt Lundell
H. Sawhney
Sudipta N. Sinha
Peter Morales
Richard J. Radke
SSL
195
11
0
10 Jul 2022
Unsupervised Learning for Human Sensing Using Radio Signals
Unsupervised Learning for Human Sensing Using Radio SignalsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Tianhong Li
Lijie Fan
Yuan. Yuan
Dina Katabi
SSL
167
43
0
06 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised LearningEuropean Conference on Computer Vision (ECCV), 2022
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
Fahad Shahbaz Khan
M. Shah
261
65
0
05 Jul 2022
Federated Self-supervised Learning for Video Understanding
Federated Self-supervised Learning for Video UnderstandingEuropean Conference on Computer Vision (ECCV), 2022
Yasar Abbas Ur Rehman
Yan Gao
Jiajun Shen
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
245
22
0
05 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
516
66
0
01 Jul 2022
Reading and Writing: Discriminative and Generative Modeling for
  Self-Supervised Text Recognition
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text RecognitionACM Multimedia (ACM MM), 2022
Mingkun Yang
Minghui Liao
Pu Lu
Jing Wang
Shenggao Zhu
Hualin Luo
Qingzhen Tian
X. Bai
SSL
360
67
0
01 Jul 2022
Visual Pre-training for Navigation: What Can We Learn from Noise?
Visual Pre-training for Navigation: What Can We Learn from Noise?IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yanwei Wang
Ching-Yun Ko
Pulkit Agrawal
SSL
432
7
0
30 Jun 2022
CONVIQT: Contrastive Video Quality Estimator
CONVIQT: Contrastive Video Quality EstimatorIEEE Transactions on Image Processing (IEEE TIP), 2022
Pavan C. Madhusudana
Neil Birkbeck
Yilin Wang
Balu Adsumilli
A. Bovik
217
29
0
29 Jun 2022
Improving self-supervised pretraining models for epileptic seizure
  detection from EEG data
Improving self-supervised pretraining models for epileptic seizure detection from EEG data
Sudip Das
Pankaja Pandey
Krishna P. Miyapuram
MedIm
154
5
0
28 Jun 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous DrivingConference on Robot Learning (CoRL), 2022
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
290
75
0
28 Jun 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A ReviewIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
437
295
0
27 Jun 2022
SLIC: Self-Supervised Learning with Iterative Clustering for Human
  Action Videos
SLIC: Self-Supervised Learning with Iterative Clustering for Human Action VideosComputer Vision and Pattern Recognition (CVPR), 2022
S. H. Khorasgani
Yuxuan Chen
Florian Shkurti
SSL
217
31
0
25 Jun 2022
TiCo: Transformation Invariance and Covariance Contrast for
  Self-Supervised Visual Representation Learning
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
Jiachen Zhu
R. M. Moraes
Serkan Karakulak
Vlad Sobol
A. Canziani
Yann LeCun
SSL
194
25
0
21 Jun 2022
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point
  Clouds with Masked Occupancy Autoencoders
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersIEEE Transactions on Intelligent Vehicles (IEEE Trans. Intell. Veh.), 2022
Chen Min
Xinli Xu
Dawei Zhao
Liang Xiao
Yiming Nie
Bin Dai
3DPC
464
70
0
20 Jun 2022
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A SurveyACM Computing Surveys (ACM CSUR), 2022
Madeline Chantry Schiappa
Yogesh S Rawat
M. Shah
SSL
480
167
0
18 Jun 2022
Pre-training Vision Transformers with Formula-driven Supervised Learning
Pre-training Vision Transformers with Formula-driven Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2022
Hirokatsu Kataoka
Ryo Hayamizu
Ryosuke Yamada
Kodai Nakashima
Sora Takashima
Xinyu Zhang
Edgar Josafat Martinez-Noriega
Nakamasa Inoue
Rio Yokota
131
32
0
18 Jun 2022
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation
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DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology ImagesInternational Conference on Intelligent Robotics and Applications (ICIRA), 2022
Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
SSLMedIm
126
2
0
17 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation LearningComputer Vision and Pattern Recognition (CVPR), 2022
M. Gwilliam
Abhinav Shrivastava
SSL
233
24
1
16 Jun 2022
Adapting Self-Supervised Vision Transformers by Probing
  Attention-Conditioned Masking Consistency
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyNeural Information Processing Systems (NeurIPS), 2022
Viraj Prabhu
Sriram Yenamandra
Aaditya K. Singh
Judy Hoffman
140
15
0
16 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Masked Frequency Modeling for Self-Supervised Visual Pre-TrainingInternational Conference on Learning Representations (ICLR), 2022
Jiahao Xie
Wei Li
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
246
100
0
15 Jun 2022
Confident Sinkhorn Allocation for Pseudo-Labeling
Confident Sinkhorn Allocation for Pseudo-Labeling
Vu-Linh Nguyen
Hisham Husain
S. Farfade
Anton Van Den Hengel
323
6
0
13 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?Neural Information Processing Systems (NeurIPS), 2022
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
308
37
0
10 Jun 2022
SERE: Exploring Feature Self-relation for Self-supervised Transformer
SERE: Exploring Feature Self-relation for Self-supervised TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhong-Yu Li
Shanghua Gao
Ming-Ming Cheng
ViTMDE
253
19
0
10 Jun 2022
Extreme Masking for Learning Instance and Distributed Visual
  Representations
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu
Zihang Lai
Xiao Sun
Stephen Lin
296
24
0
09 Jun 2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Towards Self-supervised and Weight-preserving Neural Architecture Search
Zhuowei Li
Yibo Gao
Zhenzhou Zha
Hu Zhiqiang
Qing Xia
Shaoting Zhang
Dimitris N. Metaxas
152
4
0
08 Jun 2022
Online Deep Clustering with Video Track Consistency
Online Deep Clustering with Video Track ConsistencyInternational Conference on Pattern Recognition (ICPR), 2022
Alessandra Alfani
Federico Becattini
Lorenzo Seidenari
Marco Bertini
113
0
0
07 Jun 2022
Self-supervised Learning for Human Activity Recognition Using 700,000
  Person-days of Wearable Data
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
H. Yuan
Shing Chan
Andrew P. Creagh
C. Tong
Aidan Acquah
David Clifton
Aiden Doherty
SSL
347
140
0
06 Jun 2022
Augmentation Component Analysis: Modeling Similarity via the
  Augmentation Overlaps
Augmentation Component Analysis: Modeling Similarity via the Augmentation OverlapsInternational Conference on Learning Representations (ICLR), 2022
Lu Han
Han-Jia Ye
De-Chuan Zhan
176
5
0
01 Jun 2022
Generalized Supervised Contrastive Learning
Generalized Supervised Contrastive Learning
Jaewon Kim
Hyuk-Gi Lee
Jooyoung Chang
S. Park
SSLAILaw
224
2
0
01 Jun 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Jun Chen
Ming Hu
Boyang Albert Li
Mohamed Elhoseiny
341
40
0
01 Jun 2022
Self-Supervised Visual Representation Learning with Semantic Grouping
Self-Supervised Visual Representation Learning with Semantic GroupingNeural Information Processing Systems (NeurIPS), 2022
Xin Wen
Bingchen Zhao
Anlin Zheng
Xinming Zhang
Xiaojuan Qi
SSL
400
83
0
30 May 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised LearningInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2022
Julian Lienen
Caglar Demir
Eyke Hüllermeier
244
14
0
30 May 2022
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNNInternational Conference on Machine Learning (ICML), 2022
Siyuan Li
Di Wu
Fang Wu
Lei Shang
Stan.Z.Li
227
60
0
27 May 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
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AdaptFormer: Adapting Vision Transformers for Scalable Visual RecognitionNeural Information Processing Systems (NeurIPS), 2022
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
619
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0
26 May 2022
Contrastive Learning with Boosted Memorization
Contrastive Learning with Boosted MemorizationInternational Conference on Machine Learning (ICML), 2022
Zhihan Zhou
Jiangchao Yao
Yanfeng Wang
Bo Han
Ya Zhang
SSL
557
34
0
25 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent
  Clustering
Orchestra: Unsupervised Federated Learning via Globally Consistent ClusteringInternational Conference on Machine Learning (ICML), 2022
Ekdeep Singh Lubana
Chi Ian Tang
F. Kawsar
Robert P. Dick
Akhil Mathur
FedML
214
64
0
23 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
483
28
0
23 May 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A ReviewIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSLAI4TS
662
444
0
21 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Musa Phiri
Tom Gedeon
OOD
210
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Robust and Efficient Medical Imaging with Self-Supervision
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Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
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Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
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231
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Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
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301
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Manifold Characteristics That Predict Downstream Task Performance
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137
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Aligning Robot Representations with Humans
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Self-Supervised Masking for Unsupervised Anomaly Detection and
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Qinwei Xu
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258
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Video-ReTime: Learning Temporally Varying Speediness for Time Remapping
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CoDo: Contrastive Learning with Downstream Background Invariance for
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