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Self-Supervised Learning of Pretext-Invariant Representations

Self-Supervised Learning of Pretext-Invariant Representations

Computer Vision and Pattern Recognition (CVPR), 2019
4 December 2019
Ishan Misra
Laurens van der Maaten
    SSLVLM
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Learning of Pretext-Invariant Representations"

50 / 922 papers shown
Towards Fine-grained Visual Representations by Combining Contrastive
  Learning with Image Reconstruction and Attention-weighted Pooling
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
Jonas Dippel
Steffen Vogler
Johannes Höhne
195
23
0
09 Apr 2021
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template
  Prediction
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
Philipp Seidl
Philipp Renz
N. Dyubankova
Paulo Neves
Jonas Verhoeven
Marwin H. S. Segler
J. Wegner
Sepp Hochreiter
Günter Klambauer
270
17
0
07 Apr 2021
Self-Supervised Learning for Gastritis Detection with Gastric X-ray
  Images
Self-Supervised Learning for Gastritis Detection with Gastric X-ray ImagesInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2021
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
258
17
0
07 Apr 2021
Contrastive Syn-to-Real Generalization
Contrastive Syn-to-Real GeneralizationInternational Conference on Learning Representations (ICLR), 2021
Wuyang Chen
Zhiding Yu
Shalini De Mello
Sifei Liu
J. Álvarez
Zinan Lin
Anima Anandkumar
187
49
0
06 Apr 2021
Composable Augmentation Encoding for Video Representation Learning
Composable Augmentation Encoding for Video Representation LearningIEEE International Conference on Computer Vision (ICCV), 2021
Chen Sun
Arsha Nagrani
Yonglong Tian
Cordelia Schmid
SSLAI4TS
242
19
0
01 Apr 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
Jigsaw Clustering for Unsupervised Visual Representation LearningComputer Vision and Pattern Recognition (CVPR), 2021
Pengguang Chen
Shu Liu
Jiaya Jia
SSLVLM
305
69
0
01 Apr 2021
Rethinking Self-supervised Correspondence Learning: A Video Frame-level
  Similarity Perspective
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity PerspectiveIEEE International Conference on Computer Vision (ICCV), 2021
Jiarui Xu
Xiaolong Wang
VOS
384
107
0
31 Mar 2021
Prototypical Cross-domain Self-supervised Learning for Few-shot
  Unsupervised Domain Adaptation
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue
Zangwei Zheng
Shanghang Zhang
Yang Gao
Trevor Darrell
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
198
185
0
31 Mar 2021
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote
  Sensing Data
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing DataIEEE International Conference on Computer Vision (ICCV), 2021
Oscar Manas
Alexandre Lacoste
Xavier Giró-i-Nieto
David Vazquez
Pau Rodríguez López
256
329
0
30 Mar 2021
Broaden Your Views for Self-Supervised Video Learning
Broaden Your Views for Self-Supervised Video LearningIEEE International Conference on Computer Vision (ICCV), 2021
Adrià Recasens
Pauline Luc
Jean-Baptiste Alayrac
Luyu Wang
Ross Hemsley
...
Florent Altché
M. Valko
Jean-Bastien Grill
Aaron van den Oord
Andrew Zisserman
SSLAI4TS
296
138
0
30 Mar 2021
Pre-training strategies and datasets for facial representation learning
Pre-training strategies and datasets for facial representation learningEuropean Conference on Computer Vision (ECCV), 2021
Adrian Bulat
Shiyang Cheng
Jing Yang
A. Garbett
Enrique Sanchez
Georgios Tzimiropoulos
CVBMSSL
273
41
0
30 Mar 2021
Benchmarking Representation Learning for Natural World Image Collections
Benchmarking Representation Learning for Natural World Image CollectionsComputer Vision and Pattern Recognition (CVPR), 2021
Grant Van Horn
Elijah Cole
Sara Beery
Kimberly Wilber
Serge J. Belongie
Oisin Mac Aodha
SSLVLM
266
205
0
30 Mar 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated LearningComputer Vision and Pattern Recognition (CVPR), 2021
Qinbin Li
Bingsheng He
Basel Alomair
FedML
430
1,434
0
30 Mar 2021
Robust Audio-Visual Instance Discrimination
Robust Audio-Visual Instance DiscriminationComputer Vision and Pattern Recognition (CVPR), 2021
Pedro Morgado
Ishan Misra
Nuno Vasconcelos
SSL
246
117
0
29 Mar 2021
Classification of Seeds using Domain Randomization on Self-Supervised
  Learning Frameworks
Classification of Seeds using Domain Randomization on Self-Supervised Learning FrameworksIEEE Symposium Series on Computational Intelligence (SSCI), 2021
Venkat Margapuri
Michael L. Neilsen
58
9
0
29 Mar 2021
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text
  Retrieval
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text RetrievalIEEE International Conference on Computer Vision (ICCV), 2021
Song Liu
Haoqi Fan
Shengsheng Qian
Yiru Chen
Wenkui Ding
Zhongyuan Wang
336
165
0
28 Mar 2021
Adversarial Attacks are Reversible with Natural Supervision
Adversarial Attacks are Reversible with Natural SupervisionIEEE International Conference on Computer Vision (ICCV), 2021
Chengzhi Mao
Mia Chiquer
Hao Wang
Junfeng Yang
Carl Vondrick
BDLAAML
407
65
0
26 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning PipelinesIEEE International Conference on Computer Vision (ICCV), 2021
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
298
48
0
25 Mar 2021
Explainability Guided Multi-Site COVID-19 CT Classification
Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali
Tal Shaharabany
Lior Wolf
179
4
0
25 Mar 2021
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy
  Labels
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Evgenii Zheltonozhskii
Chaim Baskin
A. Mendelson
A. Bronstein
Or Litany
SSL
338
110
0
25 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale
THAT: Two Head Adversarial Training for Improving Robustness at Scale
Zuxuan Wu
Tom Goldstein
L. Davis
Ser-Nam Lim
AAMLGAN
95
1
0
25 Mar 2021
Region Similarity Representation Learning
Region Similarity Representation LearningIEEE International Conference on Computer Vision (ICCV), 2021
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLMSSL
277
123
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
253
9
0
23 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
SSD: A Unified Framework for Self-Supervised Outlier DetectionInternational Conference on Learning Representations (ICLR), 2021
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
306
386
0
22 Mar 2021
Cluster Contrast for Unsupervised Person Re-Identification
Cluster Contrast for Unsupervised Person Re-IdentificationAsian Conference on Computer Vision (ACCV), 2021
Zuozhuo Dai
Guangyuan Wang
Weihao Yuan
Xiaoli Liu
Siyu Zhu
P. Tan
481
276
0
22 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain
  Randomization
Unsupervised Feature Learning for Manipulation with Contrastive Domain RandomizationIEEE International Conference on Robotics and Automation (ICRA), 2021
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OODSSL
158
4
0
20 Mar 2021
Self-Supervised Classification Network
Self-Supervised Classification NetworkEuropean Conference on Computer Vision (ECCV), 2021
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
162
32
0
19 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation LearningIEEE International Conference on Computer Vision (ICCV), 2021
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
271
36
0
18 Mar 2021
Fast Development of ASR in African Languages using Self Supervised
  Speech Representation Learning
Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning
Jama Hussein Mohamud
Lloyd Thompson
A. Ndoye
Laurent Besacier
174
7
0
16 Mar 2021
Margin Preserving Self-paced Contrastive Learning Towards Domain
  Adaptation for Medical Image Segmentation
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationIEEE journal of biomedical and health informatics (JBHI), 2021
Zhizhe Liu
Zhenfeng Zhu
Shuai Zheng
Yang Liu
Jiayu Zhou
Yao Zhao
CLL
149
63
0
15 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent RepresentationsComputer Vision and Pattern Recognition (CVPR), 2021
Umberto Michieli
Pietro Zanuttigh
CLL
271
162
0
10 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation LearningComputer Vision and Pattern Recognition (CVPR), 2021
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
169
96
0
10 Mar 2021
VideoMoCo: Contrastive Video Representation Learning with Temporally
  Adversarial Examples
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial ExamplesComputer Vision and Pattern Recognition (CVPR), 2021
Tian Pan
Yibing Song
Tianyu Yang
Wenhao Jiang
Wei Liu
245
252
0
10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object DetectorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
126
20
0
08 Mar 2021
Set Representation Learning with Generalized Sliced-Wasserstein
  Embeddings
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
Navid Naderializadeh
Soheil Kolouri
Joseph F. Comer
Reed W. Andrews
Heiko Hoffmann
192
6
0
05 Mar 2021
Extending Contrastive Learning to Unsupervised Coreset Selection
Extending Contrastive Learning to Unsupervised Coreset SelectionIEEE Access (IEEE Access), 2021
Jeongwoo Ju
Heechul Jung
Yoonju Oh
Junmo Kim
SSL
150
14
0
05 Mar 2021
Learning ABCs: Approximate Bijective Correspondence for isolating
  factors of variation with weak supervision
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervisionComputer Vision and Pattern Recognition (CVPR), 2021
Kieran A. Murphy
Varun Jampani
Srikumar Ramalingam
A. Makadia
392
2
0
04 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy ReductionInternational Conference on Machine Learning (ICML), 2021
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
1.9K
2,750
0
04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray
  classification
Self-supervised deep convolutional neural network for chest X-ray classificationIEEE Access (IEEE Access), 2021
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
299
65
0
04 Mar 2021
Self-supervised Pretraining of Visual Features in the Wild
Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
...
Mannat Singh
Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
Piotr Bojanowski
VLMSSL
304
296
0
02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2021
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
227
132
0
01 Mar 2021
Contrastive Self-supervised Neural Architecture Search
Contrastive Self-supervised Neural Architecture SearchIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Nam Nguyen
Morris J Chang
154
28
0
21 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
385
60
0
19 Feb 2021
Deep Gait Recognition: A Survey
Deep Gait Recognition: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Alireza Sepas-Moghaddam
Ali Etemad
CVBM
217
230
0
18 Feb 2021
Contrastive Pre-training for Imbalanced Corporate Credit Ratings
Contrastive Pre-training for Imbalanced Corporate Credit RatingsInternational Conference on Machine Learning and Computing (ICMLC), 2021
Bojing Feng
Wenfang Xue
SSL
169
9
0
18 Feb 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution CalibrationComputer Vision and Pattern Recognition (CVPR), 2021
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCVSSLMQ
576
22
0
17 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
169
14
0
15 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive PairsInternational Conference on Machine Learning (ICML), 2021
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
615
319
0
12 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via
  Contrast-Regularized Fine-Tuning
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-TuningNeural Information Processing Systems (NeurIPS), 2021
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
208
76
0
12 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML), 2021
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLMCLIP
1.3K
4,893
0
11 Feb 2021
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