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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-network Contrastive Learning Based on Global and Local
  Representations
Multi-network Contrastive Learning Based on Global and Local Representations
Weiquan Li
Xianzhong Long
Yun Li
SSL
153
0
0
28 Jun 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Subclass-balancing Contrastive Learning for Long-tailed RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Chengkai Hou
Jieyu Zhang
Hong Wang
Wanrong Zhu
231
45
0
28 Jun 2023
A generic self-supervised learning (SSL) framework for representation
  learning from spectra-spatial feature of unlabeled remote sensing imagery
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imageryRemote Sensing (RS), 2023
Xin Zhang
Liangxiu Han
SSL
186
8
0
27 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
412
3
0
26 Jun 2023
Understanding Contrastive Learning Through the Lens of Margins
Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho
Taesoo Kim
Sooill Park
Jaehyun Park
Jaehan Park
SSL
211
3
0
20 Jun 2023
ALP: Action-Aware Embodied Learning for Perception
ALP: Action-Aware Embodied Learning for Perception
Xinran Liang
Anthony Han
Wilson Yan
Aditi Raghunathan
Pieter Abbeel
VLM
261
6
0
16 Jun 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
230
135
0
15 Jun 2023
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain
  Signals
MBrain: A Multi-channel Self-Supervised Learning Framework for Brain SignalsKnowledge Discovery and Data Mining (KDD), 2023
Donghong Cai
Junru Chen
Yang Yang
Te-Chun Liu
Yafeng Li
145
32
0
15 Jun 2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot,
  Generalizable Approach using RGB Images
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB ImagesInternational Conference on 3D Vision (3DV), 2023
Pan Pan
Zhiwen Fan
Brandon Yushan Feng
Peihao Wang
Chenxing Li
Zinan Lin
344
28
0
13 Jun 2023
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-TrainingComputer Vision and Image Understanding (CVIU), 2023
Lorenzo Baraldi
Roberto Amoroso
Marcella Cornia
Lorenzo Baraldi
Andrea Pilzer
Rita Cucchiara
379
3
0
12 Jun 2023
Feature Programming for Multivariate Time Series Prediction
Feature Programming for Multivariate Time Series PredictionInternational Conference on Machine Learning (ICML), 2023
Alex Reneau
Jerry Yao-Chieh Hu
Chenwei Xu
Weijian Li
Ammar Gilani
Han Liu
AI4TS
160
9
0
09 Jun 2023
Regularizing with Pseudo-Negatives for Continual Self-Supervised
  Learning
Regularizing with Pseudo-Negatives for Continual Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2023
Sungmin Cha
Kyunghyun Cho
Taesup Moon
BDLCLL
385
5
0
08 Jun 2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified
  Medical Image Segmentation
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Yinda Chen
Che Liu
Wei-Ping Huang
Sibo Cheng
Rossella Arcucci
Zhiwei Xiong
VLMMedIm
272
55
0
07 Jun 2023
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot
  Vision-Language Tasks
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Yanan Sun
Zi-Qi Zhong
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
VLM
224
4
0
07 Jun 2023
Towards Label-free Scene Understanding by Vision Foundation Models
Towards Label-free Scene Understanding by Vision Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
Runnan Chen
You-Chen Liu
Lingdong Kong
Nenglun Chen
Xinge Zhu
Yuexin Ma
Tongliang Liu
Wenping Wang
VLM
187
68
0
06 Jun 2023
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Multi-View Representation is What You Need for Point-Cloud Pre-TrainingInternational Conference on Learning Representations (ICLR), 2023
Siming Yan
Chen Song
Youkang Kong
Qi-Xing Huang
3DPC
498
6
0
05 Jun 2023
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for
  Remote Physiological Measurement
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological MeasurementIEEE transactions on multimedia (IEEE TMM), 2023
Xin Liu
Yuting Zhang
Zitong Yu
Hao Lu
Huanjing Yue
Jingyu Yang
221
55
0
04 Jun 2023
HomE: Homography-Equivariant Video Representation Learning
HomE: Homography-Equivariant Video Representation Learning
Anirudh Sriram
Adrien Gaidon
Jiajun Wu
Juan Carlos Niebles
L. Fei-Fei
Ehsan Adeli
SSLAI4TS
151
2
0
02 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to
  Background/Foreground Removal
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Xavier F. Cadet
Ranya Aloufi
A. Miranville
S. Ahmadi-Abhari
Hamed Haddadi
216
0
0
02 Jun 2023
PV2TEA: Patching Visual Modality to Textual-Established Information
  Extraction
PV2TEA: Patching Visual Modality to Textual-Established Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Hejie Cui
Rongmei Lin
Nasser Zalmout
Chenwei Zhang
Jingbo Shang
Carl Yang
Xian Li
VLM
302
4
0
01 Jun 2023
Additional Positive Enables Better Representation Learning for Medical
  Images
Additional Positive Enables Better Representation Learning for Medical ImagesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Jingtong Hu
Yiyu Shi
SSL
170
2
0
31 May 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector
Augmentation-aware Self-supervised Learning with Conditioned ProjectorKnowledge-Based Systems (KBS), 2023
Marcin Przewike'zlikowski
Mateusz Pyla
Bartosz Zieliñski
Bartlomiej Twardowski
Jacek Tabor
Marek Śmieja
SSL
299
5
0
31 May 2023
A Computational Account Of Self-Supervised Visual Learning From
  Egocentric Object Play
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object PlayAnnual Meeting of the Cognitive Science Society (CogSci), 2023
Deepayan Sanyal
Joel Michelson
Yu’an Yang
James Ainooson
M. Kunda
SSLOCL
129
4
0
30 May 2023
LowDINO -- A Low Parameter Self Supervised Learning Model
LowDINO -- A Low Parameter Self Supervised Learning Model
Sai Krishna Prathapaneni
Shvejan Shashank
K. SrikarReddy
223
0
0
28 May 2023
SR-OOD: Out-of-Distribution Detection via Sample Repairing
SR-OOD: Out-of-Distribution Detection via Sample Repairing
Ruiyong Sun
Andi Zhang
Haiming Zhang
Jinke Ren
Yao Zhu
Ruimao Zhang
Shuguang Cui
Zhen Li
OODD
234
2
0
26 May 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Three Towers: Flexible Contrastive Learning with Pretrained Image ModelsNeural Information Processing Systems (NeurIPS), 2023
Jannik Kossen
Mark Collier
Basil Mustafa
Tianlin Li
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
Jesse Berent
Rodolphe Jenatton
Efi Kokiopoulou
VLM
208
18
0
26 May 2023
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental
  Learning
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning
In-Ug Yoon
Taehyean Choi
Young-Min Kim
Jong-Hwan Kim
CLL
178
4
0
26 May 2023
Siamese Masked Autoencoders
Siamese Masked AutoencodersNeural Information Processing Systems (NeurIPS), 2023
Agrim Gupta
Jiajun Wu
Gaowen Liu
Li Fei-Fei
151
82
0
23 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
259
50
0
23 May 2023
Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for
  Low-Resource Speech Recognition with Transducers
Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers
J. Silovský
Liuhui Deng
Arturo Argueta
Tresi Arvizo
Roger Hsiao
Sasha Kuznietsov
Yiu-Chang Lin
Xiaoqiang Xiao
Yuanyuan Zhang
197
3
0
23 May 2023
A Dive into SAM Prior in Image Restoration
A Dive into SAM Prior in Image Restoration
Zeyu Xiao
Jiawang Bai
Zhihe Lu
Zhiwei Xiong
215
25
0
23 May 2023
EnSiam: Self-Supervised Learning With Ensemble Representations
EnSiam: Self-Supervised Learning With Ensemble Representations
Kai Han
Minsik Lee
SSL
262
0
0
22 May 2023
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual
  Representations
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations
Toni Albert
Bjoern M. Eskofier
Dario Zanca
SSL
136
1
0
21 May 2023
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual
  Representation Learning
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
Alvzbveta Manová
A. Durrant
Georgios Leontidis
SSL
208
4
0
19 May 2023
Tuned Contrastive Learning
Tuned Contrastive LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chaitanya Animesh
Manmohan Chandraker
SSL
161
3
0
18 May 2023
Global and Local Mixture Consistency Cumulative Learning for Long-tailed
  Visual Recognitions
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual RecognitionsComputer Vision and Pattern Recognition (CVPR), 2023
Fei Du
Peng Yang
Qi Jia
Fengtao Nan
Xiaoting Chen
Yun Yang
146
77
0
15 May 2023
Self-supervised Neural Factor Analysis for Disentangling Utterance-level
  Speech Representations
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech RepresentationsInternational Conference on Machine Learning (ICML), 2023
Wei-wei Lin
Chenhang He
Man-Wai Mak
Youzhi Tu
169
6
0
14 May 2023
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues
MSVQ: Self-Supervised Learning with Multiple Sample Views and QueuesKnowledge-Based Systems (KBS), 2023
Chengwei Peng
Xianzhong Long
Yun Li
SSL
245
2
0
09 May 2023
Self-Supervised Learning for Point Clouds Data: A Survey
Self-Supervised Learning for Point Clouds Data: A SurveyExpert systems with applications (ESWA), 2023
Changyu Zeng
Wei Wang
A. Nguyen
Yutao Yue
3DPC
212
0
0
09 May 2023
Transform-Equivariant Consistency Learning for Temporal Sentence
  Grounding
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
Daizong Liu
Xiaoye Qu
Jianfeng Dong
Pan Zhou
Zichuan Xu
Yining Qi
Xing Di
Weining Lu
Yu Cheng
270
12
0
06 May 2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for
  Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRIMedical Physics (Lancaster) (Med. Phys.), 2023
Yuheng Li
Jacob F. Wynne
Jing Wang
Richard L. J. Qiu
J. Roper
...
A. Jani
Tian Liu
P. Patel
H. Mao
Xiaofeng Yang
OODViTMedIm
205
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30 Apr 2023
Maximizing Model Generalization for Machine Condition Monitoring with
  Self-Supervised Learning and Federated Learning
Maximizing Model Generalization for Machine Condition Monitoring with Self-Supervised Learning and Federated LearningJournal of manufacturing systems (JMS), 2023
Matthew Russell
Peng Wang
FedMLAI4CE
129
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MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point
  Contrastive Learning
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive LearningIEEE International Conference on Computer Vision (ICCV), 2023
Jiaze Sun
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Tae-Kyun Kim
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227
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Learning imaging mechanism directly from optical microscopy observations
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Ze-Hao Wang
Long-Kun Shan
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Tianrun Chen
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Hefei 230088
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150
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A Cookbook of Self-Supervised Learning
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Yann LeCun
Micah Goldblum
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437
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Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders ForgetAAAI Conference on Artificial Intelligence (AAAI), 2023
Johannes Lehner
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331
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Shuffle & Divide: Contrastive Learning for Long Text
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Joonseok Lee
Seongho Joe
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Jaeseon Park
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111
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ContraCluster: Learning to Classify without Labels by Contrastive
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Seongho Joe
Byoungjip Kim
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Kyoungwon Park
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Joonseok Lee
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164
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Hyperbolic Image-Text Representations
Hyperbolic Image-Text RepresentationsInternational Conference on Machine Learning (ICML), 2023
Karan Desai
Maximilian Nickel
Tanmay Rajpurohit
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412
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Autoencoders with Intrinsic Dimension Constraints for Learning Low
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Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations
Jianzhang Zheng
Hao Shen
Jian Yang
Xuan Tang
Xiao He
Hui Yu
Jielong Guo
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115
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