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Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

30 March 2016
M. Noroozi
Paolo Favaro
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

50 / 769 papers shown
Title
DeepATLAS: One-Shot Localization for Biomedical Data
DeepATLAS: One-Shot Localization for Biomedical Data
Peter D. Chang
27
0
0
14 Feb 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
N. Palomero-Gallagher
Christian Schiffer
M. Axer
Katrin Amunts
Timo Dickscheid
27
4
0
30 Jan 2024
How does self-supervised pretraining improve robustness against noisy
  labels across various medical image classification datasets?
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
21
0
0
15 Jan 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
67
1
0
15 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
38
12
0
09 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
28
0
0
06 Jan 2024
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
32
3
0
28 Dec 2023
Exploiting the capacity of deep networks only at training stage for
  nonlinear black-box system identification
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
V. M. Eivaghi
M. A. Shoorehdeli
34
0
0
26 Dec 2023
Zero-shot Building Attribute Extraction from Large-Scale Vision and
  Language Models
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
Fei Pan
Sangryul Jeon
Brian Wang
Frank Mckenna
Stella X. Yu
44
2
0
19 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
33
5
0
07 Dec 2023
Unified Medical Image Pre-training in Language-Guided Common Semantic
  Space
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
Xiaoxuan He
Yifan Yang
Xinyang Jiang
Xufang Luo
Haoji Hu
Siyun Zhao
Dongsheng Li
Yuqing Yang
Lili Qiu
48
1
0
24 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
18
3
0
11 Nov 2023
From Denoising Training to Test-Time Adaptation: Enhancing Domain
  Generalization for Medical Image Segmentation
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
Ruxue Wen
Hangjie Yuan
Dong Ni
Wenbo Xiao
Yaoyao Wu
OOD
29
12
0
31 Oct 2023
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song
Zhenzhen Hu
Richang Hong
SSL
51
0
0
27 Oct 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
23
15
0
26 Oct 2023
A Recent Survey of Heterogeneous Transfer Learning
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao
Yiming Sun
Yuhe Gao
Jindong Wang
Qiang Yang
Zhi-Hong Mao
Ye Ye
30
4
0
12 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
Scaling Representation Learning from Ubiquitous ECG with State-Space
  Models
Scaling Representation Learning from Ubiquitous ECG with State-Space Models
Kleanthis Avramidis
Dominika Kunc
Bartosz Perz
Kranti Adsul
Tiantian Feng
Przemyslaw Kazienko
Stanisław Saganowski
Shrikanth Narayanan
AI4TS
40
3
0
26 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
34
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
33
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
27
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
33
0
0
08 Sep 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
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
Optical Flow boosts Unsupervised Localization and Segmentation
Optical Flow boosts Unsupervised Localization and Segmentation
Xinyu Zhang
Abdeslam Boularias
36
5
0
25 Jul 2023
Learning with Difference Attention for Visually Grounded Self-supervised
  Representations
Learning with Difference Attention for Visually Grounded Self-supervised Representations
Aishwarya Agarwal
Srikrishna Karanam
Balaji Vasan Srinivasan
31
1
0
26 Jun 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
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
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
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
145
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
Self-Supervised Video Similarity Learning
Self-Supervised Video Similarity Learning
Giorgos Kordopatis-Zilos
Giorgos Tolias
Christos Tzelepis
I. Kompatsiaris
Ioannis Patras
Symeon Papadopoulos
SSL
37
8
0
06 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
Exploring the Utility of Self-Supervised Pretraining Strategies for the
  Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound
Blake Vanberlo
Brian Li
Alexander Wong
Jesse Hoey
R. Arntfield
34
4
0
05 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
Self-Supervised learning for Neural Architecture Search (NAS)
Self-Supervised learning for Neural Architecture Search (NAS)
Samuel Ducros
SSL
29
1
0
03 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
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
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 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
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