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1912.01991
Cited By
Self-Supervised Learning of Pretext-Invariant Representations
Computer Vision and Pattern Recognition (CVPR), 2019
4 December 2019
Ishan Misra
Laurens van der Maaten
SSL
VLM
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Papers citing
"Self-Supervised Learning of Pretext-Invariant Representations"
50 / 922 papers shown
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Seung-Jun Han
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Charlotte Loh
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Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
273
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Automatic Detection of Out-of-body Frames in Surgical Videos for Privacy Protection Using Self-supervised Learning and Minimal Labels
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Conor Perreault
Xi Liu
A. Jarc
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31 Mar 2023
PMatch: Paired Masked Image Modeling for Dense Geometric Matching
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Shengjie Zhu
Xiaoming Liu
263
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30 Mar 2023
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
International Conference on Learning Representations (ICLR), 2023
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
205
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30 Mar 2023
ASIC: Aligning Sparse in-the-wild Image Collections
IEEE International Conference on Computer Vision (ICCV), 2023
Kamal Gupta
Varun Jampani
Carlos Esteves
Abhinav Shrivastava
A. Makadia
Noah Snavely
Abhishek Kar
242
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28 Mar 2023
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need
IEEE International Conference on Computer Vision (ICCV), 2023
Vivien A. Cabannes
Léon Bottou
Yann LeCun
Randall Balestriero
257
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27 Mar 2023
Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2023
Hyun Seok Seong
WonJun Moon
Subeen Lee
Jae-Pil Heo
ViT
351
48
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27 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MU
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248
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23 Mar 2023
Correlational Image Modeling for Self-Supervised Visual Pre-Training
Computer Vision and Pattern Recognition (CVPR), 2023
Wei Li
Jiahao Xie
Chen Change Loy
SSL
310
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Multi-view Feature Extraction based on Triple Contrastive Heads
Hongjie Zhang
84
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22 Mar 2023
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation
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Vitaliy Kinakh
M. Drozdova
Svyatoslav Voloshynovskiy
185
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21 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Computer Vision and Pattern Recognition (CVPR), 2023
Yiqing Zhang
Xinming Huang
Ziming Zhang
168
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ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Hao Yang
Lanqing Hong
Aoxue Li
Tianyang Hu
Zhenguo Li
G. Lee
Liwei Wang
197
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0
20 Mar 2023
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Aristotelis Ballas
Christos Diou
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340
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0
20 Mar 2023
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
Computer Vision and Pattern Recognition (CVPR), 2023
Jeremy Speth
Nathan Vance
Patrick Flynn
A. Czajka
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236
60
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14 Mar 2023
Extending global-local view alignment for self-supervised learning with remote sensing imagery
Xinye Wanyan
Sachith Seneviratne
Shuchang Shen
M. Kirley
234
33
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12 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta
Tatsuya Harada
SSL
203
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A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design
F. M. Barbosa
Fernando Santos Osório
237
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0
08 Mar 2023
Self-Supervised Learning for Place Representation Generalization across Appearance Changes
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
M. A. Musallam
Vincent Gaudillière
Djamila Aouada
SSL
395
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0
04 Mar 2023
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv
Randall Balestriero
Kenji Kawaguchi
Tim G. J. Rudner
Yann LeCun
311
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01 Mar 2023
Saliency Guided Contrastive Learning on Scene Images
Meilin Chen
Yizhou Wang
Weizhen He
Feng Zhu
Haiyang Yang
Mengwei He
Rui Zhao
Donglian Qi
Wanli Ouyang
SSL
226
2
0
22 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
364
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21 Feb 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
301
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InfoNCE Loss Provably Learns Cluster-Preserving Representations
Annual Conference Computational Learning Theory (COLT), 2023
Advait Parulekar
Liam Collins
Karthikeyan Shanmugam
Aryan Mokhtari
Sanjay Shakkottai
SSL
244
42
0
15 Feb 2023
Flexible-modal Deception Detection with Audio-Visual Adapter
Zhaoxu Li
Zitong Yu
Nithish Muthuchamy Selvaraj
Xiaobao Guo
Bingquan Shen
A. Kong
Alex C. Kot
146
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11 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Machine Intelligence Research (MIR), 2023
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
595
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10 Feb 2023
Multi-view Feature Extraction based on Dual Contrastive Head
Hongjie Zhang
135
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Evaluating Self-Supervised Learning via Risk Decomposition
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Yann Dubois
Tatsunori Hashimoto
Abigail Z. Jacobs
284
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Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Binqian Xu
Xiangbo Shu
225
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Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Ali Ghanbarzade
Hossein Soleimani
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168
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Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
301
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Hyperbolic Contrastive Learning
Yun Yue
Fangzhou Lin
Kazunori D Yamada
Ziming Zhang
SSL
353
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NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks
Alexandre Heuillet
Hedi Tabia
Hichem Arioui
192
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Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
International Conference on Learning Representations (ICLR), 2023
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
257
33
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31 Jan 2023
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Ali Ghanbarzade
Hossein Soleimani
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166
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Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSL
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387
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Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Computer Vision and Pattern Recognition (CVPR), 2023
Xudong Wang
Rohit Girdhar
Stella X. Yu
Ishan Misra
VLM
291
237
0
26 Jan 2023
Graph Contrastive Learning for Skeleton-based Action Recognition
International Conference on Learning Representations (ICLR), 2023
Xiaohui Huang
Hao Zhou
Jian Wang
Haocheng Feng
Junyu Han
Errui Ding
Jingdong Wang
Xinggang Wang
Wenyu Liu
Bin Feng
193
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Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay
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Yinhe Li
Han Ding
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124
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23 Jan 2023
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection
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N. Janjua
Naveed Akhtar
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135
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Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
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Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
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A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
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Qiong Cao
Zhe Sun
Haoran Luo
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565
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Heterogeneous Tri-stream Clustering Network
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GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis
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Chi-Ken Lu
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184
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YuXiang Liu
Jie Gui
Lanting Fang
Ming Lin
James T. Kwok
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B. Luo
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278
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Abhimanyu Dubey
Abhishek Kadian
Todor Mihaylov
Simon Vandenhende
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152
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