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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
    OOD
    SSL
    DRL
ArXivPDFHTML

Papers citing "Unsupervised Representation Learning by Predicting Image Rotations"

50 / 652 papers shown
Title
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
31
164
0
15 Sep 2022
Improving Self-supervised Learning for Out-of-distribution Task via
  Auxiliary Classifier
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia
T. Dam
Md Meftahul Ferdaus
S. Anavatti
Ankan Mullick
OODD
14
4
0
07 Sep 2022
Feature diversity in self-supervised learning
Feature diversity in self-supervised learning
Pranshu Malviya
Arjun Vaithilingam Sudhakar
SSL
LRM
12
2
0
02 Sep 2022
Refine and Represent: Region-to-Object Representation Learning
Refine and Represent: Region-to-Object Representation Learning
Akash Gokul
Konstantinos Kallidromitis
Shufang Li
Yu Kato
Kazuki Kozuka
Trevor Darrell
Colorado Reed
SSeg
29
5
0
25 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
42
113
0
24 Aug 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder
  for Dermatological Disease Diagnosis
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
20
7
0
24 Aug 2022
Spiral Contrastive Learning: An Efficient 3D Representation Learning
  Method for Unannotated CT Lesions
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions
Penghua Zhai
Enwei Zhu
Baolian Qi
Xin Wei
Jinpeng Li
16
0
0
23 Aug 2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of
  Related Mathematical Expressions in Scientific Articles
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
Lukas Pfahler
K. Morik
SSL
8
4
0
22 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
25
56
0
18 Aug 2022
Matching Multiple Perspectives for Efficient Representation Learning
Matching Multiple Perspectives for Efficient Representation Learning
Omiros Pantazis
M. Salvaris
SSL
33
0
0
16 Aug 2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual
  Representation Learning
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
T. Pham
Chaoning Zhang
Axi Niu
Kang Zhang
Chang-Dong Yoo
36
11
0
11 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation
Distributed Contrastive Learning for Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
44
48
0
07 Aug 2022
Metadata-enhanced contrastive learning from retinal optical coherence
  tomography images
Metadata-enhanced contrastive learning from retinal optical coherence tomography images
R. Holland
Oliver Leingang
Hrvoje Bogunović
Sophie Riedl
L. Fritsche
...
U. Schmidt-Erfurth
S. Sivaprasad
A. Lotery
Daniel Rueckert
M. Menten
15
8
0
04 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang
Lu Qi
Xu Yang
Hong Qiao
Ming Yang
Zhiyong Liu
SSL
35
3
0
01 Aug 2022
SdAE: Self-distillated Masked Autoencoder
SdAE: Self-distillated Masked Autoencoder
Yabo Chen
Yuchen Liu
Dongsheng Jiang
Xiaopeng Zhang
Wenrui Dai
H. Xiong
Qi Tian
ViT
18
70
0
31 Jul 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision
  and Beyond
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Chaoning Zhang
Chenshuang Zhang
Junha Song
John Seon Keun Yi
Kang Zhang
In So Kweon
SSL
54
71
0
30 Jul 2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain
  Adaptation
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
39
26
0
27 Jul 2022
Contrastive Image Synthesis and Self-supervised Feature Adaptation for
  Cross-Modality Biomedical Image Segmentation
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation
Xinrong Hu
Corey Wang
Yiyu Shi
MedIm
40
1
0
27 Jul 2022
Unsupervised Learning under Latent Label Shift
Unsupervised Learning under Latent Label Shift
Manley Roberts
P. Mani
Saurabh Garg
Zachary Chase Lipton
OOD
54
9
0
26 Jul 2022
Unsupervised Contrastive Learning of Image Representations from
  Ultrasound Videos with Hard Negative Mining
Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative Mining
Soumen Basu
Somanshu Singla
Mayank Gupta
Pratyaksha Rana
Pankaj Gupta
Chetan Arora
AI4TS
23
13
0
26 Jul 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient
  Semi-Supervised Active Learning
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
F. Buchert
Nassir Navab
Seong Tae Kim
27
6
0
25 Jul 2022
Adaptive Soft Contrastive Learning
Adaptive Soft Contrastive Learning
Chen Feng
Ioannis Patras
SSL
25
19
0
22 Jul 2022
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
42
11
0
21 Jul 2022
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw
  Puzzles
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Guodong Wang
Yunhong Wang
Jie Qin
Dongming Zhang
Xiuguo Bao
Di Huang
13
77
0
20 Jul 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Sungwon Han
Sungwon Park
Fangzhao Wu
Sundong Kim
Chuhan Wu
Xing Xie
M. Cha
FedML
26
53
0
19 Jul 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable
  Perturbations
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
H. Malik
Shahina Kunhimon
Muzammal Naseer
Salman Khan
F. Khan
AAML
20
8
0
18 Jul 2022
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based
  Action Recognition
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
Yansong Tang
Xingyu Liu
Xumin Yu
Danyang Zhang
Jiwen Lu
Jie Zhou
24
20
0
17 Jul 2022
Multitask Learning from Augmented Auxiliary Data for Improving Speech
  Emotion Recognition
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Björn W. Schuller
22
21
0
12 Jul 2022
A Closer Look at Invariances in Self-supervised Pre-training for 3D
  Vision
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision
Lanxiao Li
M. Heizmann
3DPC
27
27
0
11 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and
  Semantic Segmentation
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
Ashraful Islam
Bengt Lundell
H. Sawhney
Sudipta N. Sinha
Peter Morales
Richard J. Radke
SSL
31
9
0
10 Jul 2022
Unsupervised Learning for Human Sensing Using Radio Signals
Unsupervised Learning for Human Sensing Using Radio Signals
Tianhong Li
Lijie Fan
Yuan. Yuan
Dina Katabi
SSL
39
34
0
06 Jul 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated
  Transformation
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geondo Park
Jaehong Yoon
H. Zhang
Xingge Zhang
S. Hwang
Yonina C. Eldar
MQ
28
1
0
04 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
21
42
0
01 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
39
55
0
28 Jun 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
39
107
0
24 Jun 2022
Self-Supervised Learning for Videos: A Survey
Self-Supervised Learning for Videos: A Survey
Madeline Chantry Schiappa
Y. S. Rawat
M. Shah
SSL
34
131
0
18 Jun 2022
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation
  in Histology Images
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
SSL
MedIm
11
1
0
17 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
76
19
1
16 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
35
34
0
15 Jun 2022
Self-Supervised Implicit Attention: Guided Attention by The Model Itself
Self-Supervised Implicit Attention: Guided Attention by The Model Itself
Jinyi Wu
Xun Gong
Zhemin Zhang
21
1
0
15 Jun 2022
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
24
55
0
15 Jun 2022
Self-Supervised Learning of Image Scale and Orientation
Self-Supervised Learning of Image Scale and Orientation
Jongmin Lee
Yoonwoo Jeong
Minsu Cho
SSL
26
16
0
15 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
36
55
0
13 Jun 2022
Learning Fashion Compatibility from In-the-wild Images
Learning Fashion Compatibility from In-the-wild Images
Additya Popli
Vijay R. Kumar
Sujit Jos
Saraansh Tandon
16
1
0
13 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
27
31
0
10 Jun 2022
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for
  Improving Generalization with Few Labels
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels
Anuja Vats
A. Mohammed
Marius Pedersen
OOD
11
7
0
10 Jun 2022
Masked Autoencoders are Robust Data Augmentors
Masked Autoencoders are Robust Data Augmentors
Haohang Xu
Shuangrui Ding
Xiaopeng Zhang
H. Xiong
32
27
0
10 Jun 2022
Extreme Masking for Learning Instance and Distributed Visual
  Representations
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu
Zihang Lai
Xiao Sun
Stephen Lin
32
22
0
09 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution
  Samples
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
30
39
0
08 Jun 2022
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
16
17
0
07 Jun 2022
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