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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 / 831 papers shown
Title
Attention Weighted Mixture of Experts with Contrastive Learning for
  Personalized Ranking in E-commerce
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
Juan Gong
Zhe Chen
Chao Ma
Zhuojian Xiao
Hong Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yunjiang Jiang
16
4
0
08 Jun 2023
LowDINO -- A Low Parameter Self Supervised Learning Model
LowDINO -- A Low Parameter Self Supervised Learning Model
Sai Krishna Prathapaneni
Shvejan Shashank
K. SrikarReddy
38
0
0
28 May 2023
Reverse Engineering Self-Supervised Learning
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
26
35
0
24 May 2023
Siamese Masked Autoencoders
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
46
49
0
23 May 2023
EnSiam: Self-Supervised Learning With Ensemble Representations
EnSiam: Self-Supervised Learning With Ensemble Representations
Kai Han
Minsik Lee
SSL
24
0
0
22 May 2023
A vector quantized masked autoencoder for audiovisual speech emotion recognition
A vector quantized masked autoencoder for audiovisual speech emotion recognition
Samir Sadok
Simon Leglaive
Renaud Séguier
SSL
81
6
0
05 May 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
21
6
0
27 Apr 2023
Shuffle & Divide: Contrastive Learning for Long Text
Shuffle & Divide: Contrastive Learning for Long Text
Joonseok Lee
Seongho Joe
Kyoungwon Park
Bogun Kim
Ho. Kang
Jaeseon Park
Youngjune Gwon
17
0
0
19 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive
  Self-Supervision and Prototype-Based Semi-Supervision
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe
Byoungjip Kim
Ho. Kang
Kyoungwon Park
Bogun Kim
Jaeseon Park
Joonseok Lee
Youngjune Gwon
SSL
26
1
0
19 Apr 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
53
45
0
14 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLM
CLIP
SSL
154
3,070
0
14 Apr 2023
Looking Similar, Sounding Different: Leveraging Counterfactual
  Cross-Modal Pairs for Audiovisual Representation Learning
Looking Similar, Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
Nikhil Singh
Chih-Wei Wu
Iroro Orife
Mahdi M. Kalayeh
30
2
0
12 Apr 2023
A surprisingly simple technique to control the pretraining bias for
  better transfer: Expand or Narrow your representation
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation
Florian Bordes
Samuel Lavoie
Randall Balestriero
Nicolas Ballas
Pascal Vincent
SSL
42
5
0
11 Apr 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Zhipeng Cai
Matthias Müller
Guohao Li
TTA
42
2
0
10 Apr 2023
Diffusion Models as Masked Autoencoders
Diffusion Models as Masked Autoencoders
Chen Wei
K. Mangalam
Po-Yao (Bernie) Huang
Yanghao Li
Haoqi Fan
Hu Xu
Huiyu Wang
Cihang Xie
Alan Yuille
Christoph Feichtenhofer
DiffM
SyDa
36
48
0
06 Apr 2023
Self-Supervised Siamese Autoencoders
Self-Supervised Siamese Autoencoders
Friederike Baier
Sebastian Mair
Samuel G. Fadel
SSL
50
4
0
05 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised
  Learning
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Ajinkya Tejankar
Maziar Sanjabi
Qifan Wang
Sinong Wang
Hamed Firooz
Hamed Pirsiavash
L Tan
AAML
30
19
0
04 Apr 2023
INoD: Injected Noise Discriminator for Self-Supervised Representation
  Learning in Agricultural Fields
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel
Nikhil Gosala
Kevin Bregler
Abhinav Valada
31
6
0
31 Mar 2023
Data Efficient Contrastive Learning in Histopathology using Active
  Sampling
Data Efficient Contrastive Learning in Histopathology using Active Sampling
Tahsin Reasat
David S. Smith
MedIm
28
0
0
28 Mar 2023
SELF-VS: Self-supervised Encoding Learning For Video Summarization
SELF-VS: Self-supervised Encoding Learning For Video Summarization
Hojjat Mokhtarabadi
Kaveh Bahraman
M. Hosseinzadeh
M. Eftekhari
AI4TS
SSL
ViT
25
0
0
28 Mar 2023
Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Hyun Seok Seong
WonJun Moon
Subeen Lee
Jae-Pil Heo
ViT
33
32
0
27 Mar 2023
Federated Learning without Full Labels: A Survey
Federated Learning without Full Labels: A Survey
Yilun Jin
Yang Liu
Kai Chen
Qian Yang
FedML
17
26
0
25 Mar 2023
SPEC: Summary Preference Decomposition for Low-Resource Abstractive
  Summarization
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Yi-Syuan Chen
Yun-Zhu Song
Hong-Han Shuai
33
6
0
24 Mar 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
39
15
0
23 Mar 2023
MV-MR: multi-views and multi-representations for self-supervised
  learning and knowledge distillation
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation
Vitaliy Kinakh
M. Drozdova
Slava Voloshynovskiy
42
1
0
21 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 Images
Hao Wang
Euijoon Ahn
Jinman Kim
28
8
0
20 Mar 2023
Finding Similar Exercises in Retrieval Manner
Finding Similar Exercises in Retrieval Manner
Tongwen Huang
Xihua Li
Chao Yi
Xuemin Zhao
Yunbo Cao
28
0
0
15 Mar 2023
DPPMask: Masked Image Modeling with Determinantal Point Processes
DPPMask: Masked Image Modeling with Determinantal Point Processes
Junde Xu
Zikai Lin
Donghao Zhou
Yao-Cheng Yang
Xiangyun Liao
Bian Wu
Guangyong Chen
Pheng-Ann Heng
28
1
0
13 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
29
2
0
10 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta
Tatsuya Harada
SSL
35
0
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 Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
44
59
0
07 Mar 2023
Self-Supervised Learning for Place Representation Generalization across
  Appearance Changes
Self-Supervised Learning for Place Representation Generalization across Appearance Changes
M. A. Musallam
Vincent Gaudillière
Djamila Aouada
SSL
43
2
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 Problems
Yangyang Shu
Anton Van Den Hengel
Lingqiao Liu
SSL
38
14
0
03 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised
  Learning
Evolutionary Augmentation Policy Optimization for Self-supervised Learning
Noah Barrett
Zahra Sadeghi
Stan Matwin
30
3
0
02 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception
Convolutional Visual Prompt for Robust Visual Perception
Yun-Yun Tsai
Chengzhi Mao
Junfeng Yang
VLM
VPVLM
36
13
0
01 Mar 2023
Efficient Masked Autoencoders with Self-Consistency
Efficient Masked Autoencoders with Self-Consistency
Zhaowen Li
Yousong Zhu
Zhiyang Chen
Wei Li
Chaoyang Zhao
Rui Zhao
Ming Tang
Jinqiao Wang
55
2
0
28 Feb 2023
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
26
28
0
23 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
47
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
OOD
LLMSV
34
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
50
21
0
22 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
27
1
0
21 Feb 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
Zhiyuan Li
Hailong Li
Anca L. Ralescu
Jonathan R. Dillman
N. Parikh
Lili He
35
7
0
20 Feb 2023
Rejecting Cognitivism: Computational Phenomenology for Deep Learning
Rejecting Cognitivism: Computational Phenomenology for Deep Learning
P. Beckmann
G. Köstner
Ines Hipólito
37
4
0
16 Feb 2023
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Audio-Visual Contrastive Learning with Temporal Self-Supervision
Simon Jenni
Alexander Black
John Collomosse
SSL
31
15
0
15 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 Deblurring
Hongguang Zhang
Limeng Zhang
Yuchao Dai
Hongdong Li
Piotr Koniusz
34
18
0
14 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations
Self-supervised learning of Split Invariant Equivariant representations
Q. Garrido
Laurent Najman
Yann LeCun
SSL
34
32
0
14 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
37
50
0
13 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 Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
34
27
0
10 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah Ghamizi
Jingfeng Zhang
Maxime Cordy
Mike Papadakis
Masashi Sugiyama
Yves Le Traon
AAML
33
2
0
06 Feb 2023
Leveraging the Third Dimension in Contrastive Learning
Leveraging the Third Dimension in Contrastive Learning
Sumukh K Aithal
Anirudh Goyal
Alex Lamb
Yoshua Bengio
Michael C. Mozer
MDE
37
0
0
27 Jan 2023
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