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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
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Papers citing "Unsupervised Representation Learning by Predicting Image Rotations"

50 / 675 papers shown
Title
Contrastive Learning from Extremely Augmented Skeleton Sequences for
  Self-supervised Action Recognition
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
Tianyu Guo
Hong Liu
Zhan Chen
Mengyuan Liu
Tao Wang
Runwei Ding
SSL
39
145
0
07 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
137
81
0
06 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Vivek Ramanujan
Pavan Kumar Anasosalu Vasu
Ali Farhadi
Oncel Tuzel
Hadi Pouransari
VLM
24
16
0
06 Dec 2021
BEVT: BERT Pretraining of Video Transformers
BEVT: BERT Pretraining of Video Transformers
Rui Wang
Dongdong Chen
Zuxuan Wu
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Yu-Gang Jiang
Luowei Zhou
Lu Yuan
ViT
36
203
0
02 Dec 2021
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
F. Khan
Michael S. Ryoo
ViT
33
84
0
02 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual
  Imitation
The Surprising Effectiveness of Representation Learning for Visual Imitation
Jyothish Pari
Nur Muhammad (Mahi) Shafiullah
Sridhar Pandian Arunachalam
Lerrel Pinto
SSL
25
156
0
02 Dec 2021
Deep residential representations: Using unsupervised learning to unlock
  elevation data for geo-demographic prediction
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction
Matthew Stevenson
Christophe Mues
Cristián Bravo
15
9
0
02 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
34
17
0
01 Dec 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Xiaoxiao Sun
Yunzhong Hou
Hongdong Li
Liang Zheng
13
11
0
01 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
17
17
0
30 Nov 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
42
517
0
29 Nov 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
43
175
0
27 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSL
GAN
36
16
0
25 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
29
19
0
24 Nov 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna
Umapada Pal
Saumik Bhattacharya
SSL
35
1
0
24 Nov 2021
RIO: Rotation-equivariance supervised learning of robust inertial
  odometry
RIO: Rotation-equivariance supervised learning of robust inertial odometry
Caifa Zhou
Xiya Cao
Dandan Zeng
Yongliang Wang
OOD
SSL
25
22
0
23 Nov 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng-Wei Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
45
1,309
0
18 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
21
710
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge J. Belongie
74
279
0
11 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
25
2
0
08 Nov 2021
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for
  Traffic Flow Forecasting
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting
Xiao Yan
X. Gan
Jingjing Tang
Rui Wang
ViT
AI4TS
21
0
0
03 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
21
106
0
01 Nov 2021
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised
  Learning
HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
Ashima Garg
Shaurya Bagga
Yashvardhan Singh
Saket Anand
22
12
0
30 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
36
67
0
28 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data
Addressing out-of-distribution label noise in webly-labelled data
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
NoLa
16
16
0
26 Oct 2021
Image Quality Assessment using Contrastive Learning
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana
N. Birkbeck
Yilin Wang
Balu Adsumilli
A. Bovik
SSL
16
163
0
25 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight
  Architectures
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane
Sparsh Drolia
Saqib Nizam Shamsi
Bhargav Jain
SSL
17
1
0
21 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised
  Learning
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee
Seungjae Shin
Heeyoung Kim
CLL
24
90
0
20 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
29
0
0
19 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised
  Ensembles
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSL
OOD
30
0
0
19 Oct 2021
Unsupervised Finetuning
Unsupervised Finetuning
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
30
8
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
29
16
0
15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
Continual Learning on Noisy Data Streams via Self-Purified Replay
C. Kim
Jinseo Jeong
Sang-chul Moon
Gunhee Kim
CLL
40
39
0
14 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
55
16
0
14 Oct 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised
  Audiovisual Representation Learning
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
Haider Al-Tahan
Y. Mohsenzadeh
SSL
AI4TS
34
0
0
13 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
180
182
0
13 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels
  with Overclustering and Inverse Cross-Entropy
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje
Johannes Brunger
M. Santarossa
Simon-Martin Schroder
R. Kiko
Reinhard Koch
39
17
0
13 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
R. L. Jin
Yue Gao
SSL
48
39
0
12 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OOD
SSL
33
157
0
11 Oct 2021
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei-Yue Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
40
121
0
10 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViT
VLM
DRL
49
480
0
09 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching
Learning Canonical Embedding for Non-rigid Shape Matching
Abhishek Sharma
M. Ovsjanikov
3DV
21
1
0
06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
20
3
0
04 Oct 2021
Consistent Explanations by Contrastive Learning
Consistent Explanations by Contrastive Learning
Vipin Pillai
Soroush Abbasi Koohpayegani
Ashley Ouligian
Dennis Fong
Hamed Pirsiavash
FAtt
20
21
0
01 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
Turkay Kart
Wenjia Bai
Ben Glocker
Daniel Rueckert
33
11
0
30 Sep 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned
  Meta-Adaptation
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
18
19
0
30 Sep 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
20
2
0
28 Sep 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
30
12
0
25 Sep 2021
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