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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
A Review of Predictive and Contrastive Self-supervised Learning for
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A Review of Predictive and Contrastive Self-supervised Learning for Medical ImagesMachine Intelligence Research (MIR), 2023
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
598
38
0
10 Feb 2023
Continuous Learning for Android Malware Detection
Continuous Learning for Android Malware DetectionUSENIX Security Symposium (USENIX Security), 2023
Yizheng Chen
Zhoujie Ding
David Wagner
300
63
0
08 Feb 2023
Weakly-supervised Representation Learning for Video Alignment and
  Analysis
Weakly-supervised Representation Learning for Video Alignment and AnalysisIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Guy Bar-Shalom
G. Leifman
Michael Elad
Ehud Rivlin
207
3
0
08 Feb 2023
Evaluating Self-Supervised Learning via Risk Decomposition
Evaluating Self-Supervised Learning via Risk DecompositionInternational Conference on Machine Learning (ICML), 2023
Yann Dubois
Tatsunori Hashimoto
Abigail Z. Jacobs
284
9
0
06 Feb 2023
Trust, but Verify: Using Self-Supervised Probing to Improve
  Trustworthiness
Trust, but Verify: Using Self-Supervised Probing to Improve TrustworthinessEuropean Conference on Computer Vision (ECCV), 2023
Ailin Deng
Shen Li
Miao Xiong
Zhirui Chen
Bryan Hooi
157
4
0
06 Feb 2023
Rethinking Semi-Supervised Medical Image Segmentation: A
  Variance-Reduction Perspective
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction PerspectiveNeural Information Processing Systems (NeurIPS), 2023
Chenyu You
Weicheng Dai
Yifei Min
Fenglin Liu
David Clifton
S. Kevin Zhou
Lawrence H. Staib
James S Duncan
595
110
0
03 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
Energy-Inspired Self-Supervised Pretraining for Vision ModelsInternational Conference on Learning Representations (ICLR), 2023
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
247
10
0
02 Feb 2023
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search
Marie-Morgane Paumard
Hedi Tabia
David Picard
140
2
0
01 Feb 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Advancing Radiograph Representation Learning with Masked Record ModelingInternational Conference on Learning Representations (ICLR), 2023
Hong-Yu Zhou
Chenyu Lian
Lian-cheng Wang
Yizhou Yu
MedIm
287
86
0
30 Jan 2023
Supervised and Contrastive Self-Supervised In-Domain Representation
  Learning for Dense Prediction Problems in Remote Sensing
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Ali Ghanbarzade
Hossein Soleimani
SSL
166
0
0
29 Jan 2023
Cut and Learn for Unsupervised Object Detection and Instance
  Segmentation
Cut and Learn for Unsupervised Object Detection and Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Xudong Wang
Rohit Girdhar
Stella X. Yu
Ishan Misra
VLM
291
237
0
26 Jan 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image
  Classification
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification
Iván de Andrés Tamé
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
217
2
0
25 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future TrendsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
569
354
0
13 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
187
2
0
12 Jan 2023
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPComputer Vision and Pattern Recognition (CVPR), 2023
Runnan Chen
Youquan Liu
Lingdong Kong
Xinge Zhu
Yuexin Ma
Yikang Li
Yuenan Hou
Yu Qiao
Wenping Wang
CLIP3DPC
427
216
0
12 Jan 2023
EXIF as Language: Learning Cross-Modal Associations Between Images and
  Camera Metadata
EXIF as Language: Learning Cross-Modal Associations Between Images and Camera MetadataComputer Vision and Pattern Recognition (CVPR), 2023
Chenhao Zheng
Ayush Shrivastava
Andrew Owens
VLM
353
23
0
11 Jan 2023
Combining Self-labeling with Selective Sampling
Combining Self-labeling with Selective Sampling
Jędrzej Kozal
Michal Wo'zniak
181
3
0
11 Jan 2023
Transferring Pre-trained Multimodal Representations with Cross-modal
  Similarity Matching
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity MatchingNeural Information Processing Systems (NeurIPS), 2023
Byoungjip Kim
Sun Choi
Dasol Hwang
Moontae Lee
Honglak Lee
193
17
0
07 Jan 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series
  Forecasting Problem
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting ProblemAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Peiwang Tang
Xianchao Zhang
AI4TS
278
8
0
04 Jan 2023
Ego-Only: Egocentric Action Detection without Exocentric Transferring
Ego-Only: Egocentric Action Detection without Exocentric TransferringIEEE International Conference on Computer Vision (ICCV), 2023
Huiyu Wang
Mitesh Singh
Lorenzo Torresani
EgoV
353
35
0
03 Jan 2023
SIRL: Similarity-based Implicit Representation Learning
SIRL: Similarity-based Implicit Representation LearningIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
Andreea Bobu
Yi Liu
Rohin Shah
Daniel S. Brown
Anca Dragan
SSLDRL
487
22
0
02 Jan 2023
Improving Visual Representation Learning through Perceptual
  Understanding
Improving Visual Representation Learning through Perceptual UnderstandingComputer Vision and Pattern Recognition (CVPR), 2022
Samyakh Tukra
Frederick Hoffman
Ken Chatfield
237
6
0
30 Dec 2022
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image
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Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
141
0
0
28 Dec 2022
Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic
  Retinopathy Grade Assessment
Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment
Zhuoyi Tan
H. Madzin
Zeyu Ding
101
5
0
27 Dec 2022
Benchmark for Uncertainty & Robustness in Self-Supervised Learning
Benchmark for Uncertainty & Robustness in Self-Supervised Learning
H. Bui
Iliana Maifeld-Carucci
OOD
106
1
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23 Dec 2022
Similarity Contrastive Estimation for Image and Video Soft Contrastive
  Self-Supervised Learning
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised LearningMachine Vision and Applications (MVA), 2022
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
266
6
0
21 Dec 2022
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Temporal Output Discrepancy for Loss Estimation-based Active LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Siyu Huang
Tianyang Wang
Haoyi Xiong
Bihan Wen
Jun Huan
Dejing Dou
UQCV
170
8
0
20 Dec 2022
Randomized Quantization: A Generic Augmentation for Data Agnostic
  Self-supervised Learning
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised LearningIEEE International Conference on Computer Vision (ICCV), 2022
Huimin Wu
Chenyang Lei
Xiao Sun
Pengju Wang
Qifeng Chen
Kwang-Ting Cheng
Stephen Lin
Zhirong Wu
MQ
261
9
0
19 Dec 2022
Training Lightweight Graph Convolutional Networks with Phase-field
  Models
Training Lightweight Graph Convolutional Networks with Phase-field Models
H. Sahbi
153
0
0
19 Dec 2022
Boosting Automatic COVID-19 Detection Performance with Self-Supervised
  Learning and Batch Knowledge Ensembling
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge EnsemblingComputers in Biology and Medicine (Comput Biol Med), 2022
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
166
11
0
19 Dec 2022
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
John Lambert
James Hays
191
38
0
14 Dec 2022
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
ALSO: Automotive Lidar Self-supervision by Occupancy estimationComputer Vision and Pattern Recognition (CVPR), 2022
Alexandre Boulch
Corentin Sautier
Bjoern Michele
Gilles Puy
Renaud Marlet
SSL3DPC
395
77
0
12 Dec 2022
On Pre-Training for Visuo-Motor Control: Revisiting a
  Learning-from-Scratch Baseline
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch BaselineInternational Conference on Machine Learning (ICML), 2022
Nicklas Hansen
Zhecheng Yuan
Yanjie Ze
Tongzhou Mu
Aravind Rajeswaran
H. Su
Huazhe Xu
Xiaolong Wang
354
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12 Dec 2022
Accelerating Self-Supervised Learning via Efficient Training Strategies
Accelerating Self-Supervised Learning via Efficient Training StrategiesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mustafa Taha Koccyiugit
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179
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SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-TrainingAAAI Conference on Artificial Intelligence (AAAI), 2022
Yiqi Lin
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Conghui He
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195
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Audiovisual Masked Autoencoders
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Mariana-Iuliana Georgescu
Eduardo Fonseca
Radu Tudor Ionescu
Mario Lucic
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317
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Frugal Reinforcement-based Active Learning
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233
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Alleviating neighbor bias: augmenting graph self-supervise learning with
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Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples
Jiawei Zhu
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193
3
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InternVideo: General Video Foundation Models via Generative and
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Limin Wang
Yu Qiao
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454
446
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Location-Aware Self-Supervised Transformers for Semantic Segmentation
Location-Aware Self-Supervised Transformers for Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mathilde Caron
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329
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05 Dec 2022
Self-supervised On-device Federated Learning from Unlabeled Streams
Self-supervised On-device Federated Learning from Unlabeled StreamsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Jiahe Shi
Yawen Wu
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282
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Procedural Image Programs for Representation Learning
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Manel Baradad
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240
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On the Power of Foundation Models
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284
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Heterogeneous Graph Learning for Multi-modal Medical Data Analysis
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Sein Kim
Namkyeong Lee
Junseok Lee
Dongmin Hyun
Chanyoung Park
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Learning Dense Object Descriptors from Multiple Views for Low-shot
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