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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
Denoising Autoregressive Representation Learning
Denoising Autoregressive Representation Learning
Yazhe Li
J. Bornschein
Ting Chen
DiffM
40
3
0
08 Mar 2024
Membership Information Leakage in Federated Contrastive Learning
Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen
Wenfeng Wang
Zixin Wang
Wangjun Zhang
Zhipeng Li
Yao Huang
FedML
30
1
0
06 Mar 2024
SwitchLight: Co-design of Physics-driven Architecture and Pre-training
  Framework for Human Portrait Relighting
SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting
Hoon Kim
Minje Jang
Wonjun Yoon
Jisoo Lee
Donghyun Na
Sanghyun Woo
AI4CE
36
19
0
29 Feb 2024
SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot
  Interaction
SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction
Jie Xu
Hanbo Zhang
Xinghang Li
Huaping Liu
Xuguang Lan
Tao Kong
LM&Ro
35
3
0
19 Feb 2024
Memory Consistency Guided Divide-and-Conquer Learning for Generalized
  Category Discovery
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu
Zhun Zhong
Yuxi Li
Hengshuang Zhao
38
0
0
24 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive
  Pairing
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
33
0
0
11 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
35
12
0
09 Jan 2024
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image
  Colorization
Color-S4LS^{4}LS4L: Self-supervised Semi-supervised Learning with Image Colorization
Hanxiao Chen
SSL
VLM
14
2
0
08 Jan 2024
Enhancing Context Through Contrast
Enhancing Context Through Contrast
Kshitij Ambilduke
Aneesh Shetye
Diksha Bagade
Rishika Bhagwatkar
Khurshed Fitter
P. Vagdargi
Shital S. Chiddarwar
26
0
0
06 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
56
1
0
31 Dec 2023
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease
  Progression from Longitudinal OCTs
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
A. Chakravarty
Antoine Rivail
Dmitrii Lachinov
Oliver Leingang
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
29
3
0
28 Dec 2023
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
27
11
0
26 Dec 2023
Series2Vec: Similarity-based Self-supervised Representation Learning for
  Time Series Classification
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
Navid Mohammadi Foumani
Chang Wei Tan
Geoffrey I. Webb
Hamid Rezatofighi
Mahsa Salehi
SSL
AI4TS
31
5
0
07 Dec 2023
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise
  Prediction
Enhancing Trajectory Prediction through Self-Supervised Waypoint Noise Prediction
Pranav Singh Chib
Pravendra Singh
29
1
0
26 Nov 2023
SCL-VI: Self-supervised Context Learning for Visual Inspection of
  Industrial Defects
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects
Peng Wang
Haiming Yao
Wenyong Yu
8
3
0
11 Nov 2023
A Practical Approach to Novel Class Discovery in Tabular Data
A Practical Approach to Novel Class Discovery in Tabular Data
Colin Troisemaine
Alexandre Reiffers
Stéphane Gosselin
Vincent Lemaire
Sandrine Vaton
30
1
0
09 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
43
5
0
01 Nov 2023
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point
  Clouds
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
Corentin Sautier
Gilles Puy
Alexandre Boulch
Renaud Marlet
Vincent Lepetit
3DPC
20
15
0
26 Oct 2023
SILC: Improving Vision Language Pretraining with Self-Distillation
SILC: Improving Vision Language Pretraining with Self-Distillation
Muhammad Ferjad Naeem
Yongqin Xian
Xiaohua Zhai
Lukas Hoyer
Luc Van Gool
F. Tombari
VLM
25
33
0
20 Oct 2023
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans
  Using Deep Self-supervised Learning
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning
Hussain Alasmawi
Leanne Bricker
Mohammad Yaqub
19
2
0
19 Oct 2023
Improving Discriminative Multi-Modal Learning with Large-Scale
  Pre-Trained Models
Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models
Chenzhuang Du
Yue Zhao
Chonghua Liao
Jiacheng You
Jie Fu
Hang Zhao
39
2
0
08 Oct 2023
Enhancing Representations through Heterogeneous Self-Supervised Learning
Enhancing Representations through Heterogeneous Self-Supervised Learning
Zhongyu Li
Bo-Wen Yin
Yongxiang Liu
Li Liu
Ming-Ming Cheng
SSL
28
2
0
08 Oct 2023
Online Supervised Training of Spaceborne Vision during Proximity
  Operations using Adaptive Kalman Filtering
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman Filtering
T. Park
Simone DÁmico
29
8
0
20 Sep 2023
Understanding the limitations of self-supervised learning for tabular
  anomaly detection
Understanding the limitations of self-supervised learning for tabular anomaly detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
SSL
29
0
0
15 Sep 2023
Plasticity-Optimized Complementary Networks for Unsupervised Continual
  Learning
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning
Alex Gomez-Villa
Bartlomiej Twardowski
Kai Wang
Joost van de Weijer
SSL
CLL
28
8
0
12 Sep 2023
Frequency-Aware Self-Supervised Long-Tailed Learning
Frequency-Aware Self-Supervised Long-Tailed Learning
Ci-Siang Lin
Min-Hung Chen
Y. Wang
20
3
0
09 Sep 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in
  Self-Supervised Learning
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
25
0
0
08 Sep 2023
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot
  Anomaly Localization
Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
Hanqiu Deng
Zhaoxiang Zhang
Jinan Bao
Xingyu Li
VLM
27
4
0
30 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based
  Unsupervised Representation Learning Problems
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Momojit Biswas
Himanshu Buckchash
Dilip K. Prasad
SSL
26
7
0
14 Aug 2023
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain
  Adaptive Semantic Segmentation
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation
Anant Khandelwal
24
1
0
10 Aug 2023
Test Time Adaptation for Blind Image Quality Assessment
Test Time Adaptation for Blind Image Quality Assessment
Subhadeep Roy
Shankhanil Mitra
Soma Biswas
R. Soundararajan
VLM
OOD
40
17
0
27 Jul 2023
vox2vec: A Framework for Self-supervised Contrastive Learning of
  Voxel-level Representations in Medical Images
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images
M. Goncharov
Vera Soboleva
Anvar Kurmukov
Maxim Pisov
Mikhail Belyaev
SSL
15
10
0
27 Jul 2023
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic
  Data
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Enric Moreu
Eric Arazo
Kevin McGuinness
Noel E. O'Connor
28
1
0
22 Jul 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
37
16
0
11 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency
  Training
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
Zizheng Yan
Yushuang Wu
Yipeng Qin
Xiaoguang Han
Shuguang Cui
Guanbin Li
39
1
0
07 Jul 2023
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
Lorenzo Baraldi
Roberto Amoroso
Marcella Cornia
Lorenzo Baraldi
Andrea Pilzer
Rita Cucchiara
38
2
0
12 Jun 2023
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Exploring Effective Mask Sampling Modeling for Neural Image Compression
Lin Liu
Mingming Zhao
Shanxin Yuan
Wenlong Lyu
Wen-gang Zhou
Houqiang Li
Yanfeng Wang
Qi Tian
11
3
0
09 Jun 2023
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
Reverse Engineering Self-Supervised Learning
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
23
34
0
24 May 2023
Siamese Masked Autoencoders
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
28
48
0
23 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
79
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
23
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
45
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
110
3,030
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
23
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
32
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
Bernard Ghanem
TTA
32
2
0
10 Apr 2023
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