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Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Representation Learning by Predicting Image Rotations

21 March 2018
Spyros Gidaris
Praveer Singh
N. Komodakis
    OODSSLDRL
ArXiv (abs)PDFHTMLGithub (518★)

Papers citing "Unsupervised Representation Learning by Predicting Image Rotations"

50 / 1,956 papers shown
Understanding the Role of the Projector in Knowledge Distillation
Understanding the Role of the Projector in Knowledge DistillationAAAI Conference on Artificial Intelligence (AAAI), 2023
Roy Miles
K. Mikolajczyk
288
46
0
20 Mar 2023
A Dual-branch Self-supervised Representation Learning Framework for
  Tumour Segmentation in Whole Slide Images
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide ImagesPattern Recognition (Pattern Recogn.), 2023
Hao Wang
Euijoon Ahn
Jinman Kim
209
16
0
20 Mar 2023
FedMAE: Federated Self-Supervised Learning with One-Block Masked
  Auto-Encoder
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder
Nan Yang
Xuanyu Chen
Charles Z. Liu
Dong Yuan
Wei Bao
Li-zhen Cui
189
5
0
20 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTAOOD
302
59
0
20 Mar 2023
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image
  Segmentation
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image SegmentationIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Zhaohu Xing
Lei Zhu
Lequan Yu
Zhiheng Xing
Liang Wan
188
29
0
18 Mar 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive
  Few-shot Learning with Hyperspherical Embeddings
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical EmbeddingsComputer Vision and Pattern Recognition (CVPR), 2023
Daniel J. Trosten
Rwiddhi Chakraborty
Sigurd Løkse
Kristoffer Wickstrøm
Robert Jenssen
Michael C. Kampffmeyer
179
24
0
16 Mar 2023
Self-Supervised Visual Representation Learning on Food Images
Self-Supervised Visual Representation Learning on Food Images
Andrew Peng
Jiangpeng He
Fengqing Zhu
SSL
188
2
0
16 Mar 2023
Real Face Foundation Representation Learning for Generalized Deepfake
  Detection
Real Face Foundation Representation Learning for Generalized Deepfake Detection
Liang Shi
Jie Zhang
Shiguang Shan
CVBM
219
16
0
15 Mar 2023
Finding Similar Exercises in Retrieval Manner
Finding Similar Exercises in Retrieval Manner
Tongwen Huang
Xihua Li
Chao Yi
Xuemin Zhao
Yunbo Cao
89
0
0
15 Mar 2023
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos
D. Fan
De-Yun Yang
Xinyu Li
Vimal Bhat
M. Rohith
SSL
170
1
0
13 Mar 2023
DPPMask: Masked Image Modeling with Determinantal Point Processes
DPPMask: Masked Image Modeling with Determinantal Point ProcessesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Junde Xu
Zikai Lin
Donghao Zhou
Yao-Cheng Yang
Xiangyun Liao
Bian Wu
Guangyong Chen
Pheng-Ann Heng
304
3
0
13 Mar 2023
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action
  Representations
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action RepresentationsInternational Conference on Learning Representations (ICLR), 2023
Luca Franco
Paolo Mandica
Bharti Munjal
Fabio Galasso
SSL3DH
207
52
0
10 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for
  Out-of-Distribution Detection
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection
Tim Kaiser
Félix D. P. Michels
Nikolas Adaloglou
M. Kollmann
VLM
242
0
0
10 Mar 2023
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN
  Images
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
Ankit V. Manerikar
A. Kak
VLM
308
2
0
10 Mar 2023
Learn More for Food Recognition via Progressive Self-Distillation
Learn More for Food Recognition via Progressive Self-DistillationAAAI Conference on Artificial Intelligence (AAAI), 2023
Yaohui Zhu
Linhu Liu
Jiang Tian
147
8
0
09 Mar 2023
Centroid-centered Modeling for Efficient Vision Transformer Pre-training
Centroid-centered Modeling for Efficient Vision Transformer Pre-trainingChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Xin Yan
Zuchao Li
Lefei Zhang
Bo Du
Dacheng Tao
VLM
144
1
0
08 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta
Tatsuya Harada
SSL
203
0
0
08 Mar 2023
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented,
  Temporal and Depth-aware design
A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware design
F. M. Barbosa
Fernando Santos Osório
237
5
0
08 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
400
104
0
07 Mar 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via
  Opposing Symmetries
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing SymmetriesInternational Conference on Machine Learning (ICML), 2023
Charlotte Loh
Seung-Jun Han
Shivchander Sudalairaj
Rumen Dangovski
Kai Xu
F. Wenzel
Marin Soljacic
Akash Srivastava
UQCV
204
2
0
04 Mar 2023
Self-Supervised Learning for Place Representation Generalization across
  Appearance Changes
Self-Supervised Learning for Place Representation Generalization across Appearance ChangesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
M. A. Musallam
Vincent Gaudillière
Djamila Aouada
SSL
391
5
0
04 Mar 2023
Learning Common Rationale to Improve Self-Supervised Representation for
  Fine-Grained Visual Recognition Problems
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition ProblemsComputer Vision and Pattern Recognition (CVPR), 2023
Yangyang Shu
Anton Van Den Hengel
Lingqiao Liu
SSL
172
22
0
03 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised
  Learning
Evolutionary Augmentation Policy Optimization for Self-supervised LearningAdvances in Artificial Intelligence and Machine Learning (AAIML), 2023
Noah Barrett
Zahra Sadeghi
Stan Matwin
155
2
0
02 Mar 2023
Multi-Task Self-Supervised Time-Series Representation Learning
Multi-Task Self-Supervised Time-Series Representation LearningInformation Sciences (Inf. Sci.), 2023
Heejeong Choi
Pilsung Kang
AI4TSSSL
205
17
0
02 Mar 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised
  Pre-training
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-trainingComputer Vision and Pattern Recognition (CVPR), 2023
Yuting He
Guanyu Yang
Rongjun Ge
Yang Chen
J. Coatrieux
Boyu Wang
Shuo Li
SSL
224
46
0
02 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual PerceptionNeural Information Processing Systems (NeurIPS), 2023
Yun-Yun Tsai
Chengzhi Mao
Junfeng Yang
VLMVPVLM
341
20
0
01 Mar 2023
Efficient Masked Autoencoders with Self-Consistency
Efficient Masked Autoencoders with Self-ConsistencyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhaowen Li
Yousong Zhu
Zhiyang Chen
Wei Li
Honghui Dong
Rui Zhao
Ming Tang
Jinqiao Wang
267
3
0
28 Feb 2023
Analysis of Deep Image Quality Models
Analysis of Deep Image Quality Models
Pablo Hernández-Cámara
Jorge Vila-Tomás
Valero Laparra
Jesús Malo
138
3
0
26 Feb 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Towards Stable Test-Time Adaptation in Dynamic Wild WorldInternational Conference on Learning Representations (ICLR), 2023
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Zhuliang Yu
TTA
382
393
0
24 Feb 2023
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided SamplingComputer Vision and Pattern Recognition (CVPR), 2023
Mohamed El Banani
Karan Desai
Justin Johnson
SSLVLM
398
36
0
23 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown BiasInternational Journal of Computer Vision (IJCV), 2023
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
188
1
0
22 Feb 2023
Steerable Equivariant Representation Learning
Steerable Equivariant Representation Learning
Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
OODLLMSV
221
5
0
22 Feb 2023
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
218
32
0
22 Feb 2023
Generalization Bounds for Adversarial Contrastive Learning
Generalization Bounds for Adversarial Contrastive LearningJournal of machine learning research (JMLR), 2023
Xin Zou
Weiwei Liu
AAML
137
12
0
21 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
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
1
0
21 Feb 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
A Novel Collaborative Self-Supervised Learning Method for Radiomic DataNeuroImage (NeuroImage), 2023
Zhiyuan Li
Hailong Li
Anca L. Ralescu
Jonathan R. Dillman
N. Parikh
Lili He
135
9
0
20 Feb 2023
Self-supervised Action Representation Learning from Partial
  Spatio-Temporal Skeleton Sequences
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton SequencesAAAI Conference on Artificial Intelligence (AAAI), 2023
Yujie Zhou
Haodong Duan
Anyi Rao
Fuchun Sun
Yuan Liu
ViTSLR
255
52
0
17 Feb 2023
Rejecting Cognitivism: Computational Phenomenology for Deep Learning
Rejecting Cognitivism: Computational Phenomenology for Deep Learning
P. Beckmann
G. Köstner
Ines Hipólito
267
4
0
16 Feb 2023
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Audio-Visual Contrastive Learning with Temporal Self-SupervisionAAAI Conference on Artificial Intelligence (AAAI), 2023
Simon Jenni
Alexander Black
John Collomosse
SSL
191
24
0
15 Feb 2023
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement
  Learning
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement LearningOnline World Conference on Soft Computing in Industrial Applications (WSCIA), 2023
Pierre Tassel
Benjamin Kovács
Martin Gebser
Konstantin Schekotihin
Patrick Stöckermann
Georg Seidel
87
10
0
14 Feb 2023
Event-guided Multi-patch Network with Self-supervision for Non-uniform
  Motion Deblurring
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion DeblurringInternational Journal of Computer Vision (IJCV), 2022
Hongguang Zhang
Limeng Zhang
Yuchao Dai
Hongdong Li
Piotr Koniusz
153
24
0
14 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations
Self-supervised learning of Split Invariant Equivariant representationsInternational Conference on Machine Learning (ICML), 2023
Q. Garrido
Laurent Najman
Yann LeCun
SSL
289
40
0
14 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of ResearchFoundations and Trends in Computer Graphics and Vision (FTCGV), 2023
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
271
76
0
13 Feb 2023
Anatomical Invariance Modeling and Semantic Alignment for
  Self-supervised Learning in 3D Medical Image Analysis
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image AnalysisIEEE International Conference on Computer Vision (ICCV), 2023
Yankai Jiang
Ming Sun
Heng Guo
Xiaoyu Bai
K. Yan
Le Lu
Minfeng Xu
MedIm
288
32
0
11 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
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
594
38
0
10 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
RLSbench: Domain Adaptation Under Relaxed Label ShiftInternational Conference on Machine Learning (ICML), 2023
Saurabh Garg
Nick Erickson
James Sharpnack
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
VLM
375
44
0
06 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary TasksInternational Conference on Machine Learning (ICML), 2023
Salah Ghamizi
Jingfeng Zhang
Maxime Cordy
Mike Papadakis
Masashi Sugiyama
Yves Le Traon
AAML
252
6
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
156
4
0
06 Feb 2023
CIPER: Combining Invariant and Equivariant Representations Using
  Contrastive and Predictive Learning
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive LearningInternational Conference on Artificial Neural Networks (ICANN), 2023
Xia Xu
Jochen Triesch
SSL
202
2
0
05 Feb 2023
Run-Off Election: Improved Provable Defense against Data Poisoning
  Attacks
Run-Off Election: Improved Provable Defense against Data Poisoning AttacksInternational Conference on Machine Learning (ICML), 2023
Keivan Rezaei
Kiarash Banihashem
Atoosa Malemir Chegini
Soheil Feizi
AAML
399
19
0
05 Feb 2023
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