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Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
v1v2v3 (latest)

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

30 March 2016
M. Noroozi
Paolo Favaro
    SSL
ArXiv (abs)PDFHTML

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

50 / 1,748 papers shown
Title
Rethinking Self-Supervised Learning: Small is Beautiful
Rethinking Self-Supervised Learning: Small is Beautiful
Yun Cao
Jianxin Wu
SSL
70
21
0
25 Mar 2021
Can Vision Transformers Learn without Natural Images?
Can Vision Transformers Learn without Natural Images?
Kodai Nakashima
Hirokatsu Kataoka
Asato Matsumoto
K. Iwata
Nakamasa Inoue
ViT
57
34
0
24 Mar 2021
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using
  Domain Adaptation
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation
M. Planamente
Chiara Plizzari
Marco Cannici
Marco Ciccone
Francesco Strada
A. Bottino
Matteo Matteucci
Barbara Caputo
66
17
0
23 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
95
9
0
23 Mar 2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely
  Self-supervised Neural Architecture Search
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
ViT
158
107
0
23 Mar 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
109
30
0
22 Mar 2021
Self-supervised Representation Learning with Relative Predictive Coding
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai
Martin Q. Ma
Muqiao Yang
Han Zhao
Louis-Philippe Morency
Ruslan Salakhutdinov
SSLAI4TS
101
38
0
21 Mar 2021
Self-Supervised Classification Network
Self-Supervised Classification Network
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
66
29
0
19 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
78
166
0
19 Mar 2021
Acoustic word embeddings for zero-resource languages using
  self-supervised contrastive learning and multilingual adaptation
Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation
C. Jacobs
Yevgen Matusevych
Herman Kamper
66
21
0
19 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
98
35
0
18 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with
  Differentiable Ranking
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Andrew N. Carr
Quentin Berthet
Mathieu Blondel
O. Teboul
Neil Zeghidour
SSL
80
25
0
17 Mar 2021
An Efficient Method for the Classification of Croplands in Scarce-Label
  Regions
An Efficient Method for the Classification of Croplands in Scarce-Label Regions
H. Ghaffari
29
1
0
17 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
203
154
0
17 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
61
28
0
12 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
74
108
0
10 Mar 2021
Spatially Consistent Representation Learning
Spatially Consistent Representation Learning
Byungseok Roh
Wuhyun Shin
Ildoo Kim
Sungwoong Kim
SSL
67
90
0
10 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
64
8
0
10 Mar 2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Quan Liu
Peter C. Louis
Yuzhe Lu
Aadarsh Jha
Mengyang Zhao
...
Joseph T. Roland
Haichun Yang
Shilin Zhao
L. Wheless
Yuankai Huo
72
36
0
09 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
66
17
0
08 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual
  Information Regularization
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
Jizong Peng
M. Pedersoli
Christian Desrosiers
SSL
82
21
0
08 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
119
109
0
07 Mar 2021
Extending Contrastive Learning to Unsupervised Coreset Selection
Extending Contrastive Learning to Unsupervised Coreset Selection
Jeongwoo Ju
Heechul Jung
Yoonju Oh
Junmo Kim
SSL
44
12
0
05 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream
  Data? A Theoretical Analysis
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng
Weiran Huang
Haowei He
SSL
87
12
0
05 Mar 2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly
  Detection and Localisation in Medical Images
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Yu Tian
Guansong Pang
Fengbei Liu
Yuanhong Chen
Seon Ho Shin
Johan Verjans
Rajvinder Singh
G. Carneiro
94
70
0
05 Mar 2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical
  Image Analysis
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Yuzhe Lu
Aadarsh Jha
Yuankai Huo
MedIm
122
4
0
04 Mar 2021
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for
  Autonomous Driving
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving
Farzeen Munir
Shoaib Azam
M. Jeon
ViT
85
37
0
04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray
  classification
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
148
56
0
04 Mar 2021
SVMax: A Feature Embedding Regularizer
SVMax: A Feature Embedding Regularizer
Ahmed Taha
Alex Hanson
Abhinav Shrivastava
L. Davis
43
0
0
04 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OODAI4CE
268
1,043
0
03 Mar 2021
Land Cover Mapping in Limited Labels Scenario: A Survey
Land Cover Mapping in Limited Labels Scenario: A Survey
Rahul Ghosh
X. Jia
Vipin Kumar
77
6
0
03 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
133
114
0
01 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
80
122
0
01 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
78
6
0
01 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via
  Meta-Learning
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
OODSSL
83
8
0
01 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
110
60
0
28 Feb 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
126
574
0
27 Feb 2021
"Train one, Classify one, Teach one" -- Cross-surgery transfer learning
  for surgical step recognition
"Train one, Classify one, Teach one" -- Cross-surgery transfer learning for surgical step recognition
Daniel Neimark
Omri Bar
Maya Zohar
Gregory Hager
Dotan Asselmann
55
14
0
24 Feb 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical Representations
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
83
226
0
22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
158
339
0
22 Feb 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical
  Patterns for Self-supervised Learning
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
F. Haghighi
M. Taher
Zongwei Zhou
Michael B. Gotway
Jianming Liang
MedIm
95
107
0
21 Feb 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCVSSLMQ
303
22
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViTSSL
172
149
0
16 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
68
13
0
15 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
132
46
0
13 Feb 2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity
  Representation
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
T. Tran
Mingu Kang
Daeyoung Kim
50
1
0
12 Feb 2021
Proof Artifact Co-training for Theorem Proving with Language Models
Proof Artifact Co-training for Theorem Proving with Language Models
Jesse Michael Han
Jason M. Rute
Yuhuai Wu
Edward W. Ayers
Stanislas Polu
AIMat
117
127
0
11 Feb 2021
SelfHAR: Improving Human Activity Recognition through Self-training with
  Unlabeled Data
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang
I. Perez-Pozuelo
Dimitris Spathis
S. Brage
N. Wareham
Cecilia Mascolo
SSLHAIVLM
82
96
0
11 Feb 2021
Negative Data Augmentation
Negative Data Augmentation
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
86
75
0
09 Feb 2021
More Is More -- Narrowing the Generalization Gap by Adding
  Classification Heads
More Is More -- Narrowing the Generalization Gap by Adding Classification Heads
Roee Cates
D. Weinshall
OOD
27
0
0
09 Feb 2021
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