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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
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic
  Segmentation
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Yunxin Li
Ahmet Sencan
Yunxin Ding
Nazli Ikizler-Cinbis
Hao Fei
VLMSSL
84
11
0
23 Oct 2021
A Simple Baseline for Low-Budget Active Learning
A Simple Baseline for Low-Budget Active Learning
Kossar Pourahmadi
Parsa Nooralinejad
Hamed Pirsiavash
97
20
0
22 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
54
1
0
21 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
54
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
SSLOOD
61
0
0
19 Oct 2021
SSAST: Self-Supervised Audio Spectrogram Transformer
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong
Cheng-I Jeff Lai
Yu-An Chung
James R. Glass
ViT
91
276
0
19 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
76
20
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
117
43
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
109
20
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
SSLAI4TS
49
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
245
191
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
133
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
Rong Jin
Yue Gao
SSL
147
41
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
OODSSL
86
167
0
11 Oct 2021
Digging Into Self-Supervised Learning of Feature Descriptors
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov
Zakaria Laskar
Xiaotian Li
Shuzhe Wang
Arno Solin
SSL
98
8
0
10 Oct 2021
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
91
126
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
ViTVLMDRL
168
527
0
09 Oct 2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency
  Regularization and Ranking Loss
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Trung Q. Tran
Mingu Kang
Daeyoung Kim
35
2
0
09 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via
  Pre-Training
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
Ziyue Qiao
Yanjie Fu
Pengyang Wang
Meng Xiao
Zhiyuan Ning
Denghui Zhang
Yi Du
Yuanchun Zhou
99
13
0
08 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
143
27
0
06 Oct 2021
Weakly-supervised Text Classification Based on Keyword Graph
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang
Jiandong Ding
Yi Xu
Yingyao Liu
Shuigeng Zhou
OffRLOOD
98
57
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
32
4
0
04 Oct 2021
Implicit and Explicit Attention for Zero-Shot Learning
Implicit and Explicit Attention for Zero-Shot Learning
Faisal Alamri
Anjan Dutta
138
7
0
02 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for
  Reinforcement Learning
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
71
2
0
02 Oct 2021
Consistent Explanations by Contrastive Learning
Consistent Explanations by Contrastive Learning
Vipin Pillai
Soroush Abbasi Koohpayegani
Ashley Ouligian
Dennis Fong
Hamed Pirsiavash
FAtt
74
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
87
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
92
19
0
30 Sep 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
260
203
0
29 Sep 2021
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised
  Person Re-Id
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id
De Cheng
Jingyu Zhou
N. Wang
Xinbo Gao
105
62
0
29 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
84
2
0
28 Sep 2021
Making Curiosity Explicit in Vision-based RL
Making Curiosity Explicit in Vision-based RL
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
OffRL
58
2
0
28 Sep 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
160
48
0
27 Sep 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning
Cluster Analysis with Deep Embeddings and Contrastive Learning
Ramakrishnan Sundareswaran
Jansel Herrera-Gerena
John Just
Ali Janessari
SSLDRL
74
4
0
26 Sep 2021
Structure-Preserving Image Super-Resolution
Structure-Preserving Image Super-Resolution
Cheng Ma
Yongming Rao
Jiwen Lu
Jie Zhou
SupR
100
68
0
26 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
107
12
0
25 Sep 2021
Dense Contrastive Visual-Linguistic Pretraining
Dense Contrastive Visual-Linguistic Pretraining
Lei Shi
Kai Shuang
Shijie Geng
Peng Gao
Zuohui Fu
Gerard de Melo
Yunpeng Chen
Sen Su
VLMSSL
127
11
0
24 Sep 2021
Multi-view Contrastive Self-Supervised Learning of Accounting Data
  Representations for Downstream Audit Tasks
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
Marco Schreyer
Timur Sattarov
Damian Borth
MLAU
76
15
0
23 Sep 2021
Learning Contrastive Representation for Semantic Correspondence
Learning Contrastive Representation for Semantic Correspondence
Taihong Xiao
Sifei Liu
Shalini De Mello
Zhiding Yu
Jan Kautz
Ming-Hsuan Yang
SSL
149
15
0
22 Sep 2021
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Tao Zhuo
Qian Huang
Mohan S. Kankanhalli
LRM
170
23
0
21 Sep 2021
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
159
28
0
19 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
128
187
0
17 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Self-Supervised Neural Architecture Search for Imbalanced Datasets
A. Timofeev
Grigorios G. Chrysos
Volkan Cevher
OOD
58
5
0
17 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Semi-Supervised Visual Representation Learning for Fashion Compatibility
Ambareesh Revanur
Vijay Kumar
D. Sharma
SSL
92
20
0
16 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
80
16
0
15 Sep 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised
  Learning: An application to Hydrology
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
Rahul Ghosh
Arvind Renganathan
Kshitij Tayal
Xiang Li
A. Khandelwal
X. Jia
C. Duffy
J. Neiber
Vipin Kumar
111
23
0
14 Sep 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSLCLL
105
87
0
09 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
Self Supervision to Distillation for Long-Tailed Visual Recognition
Tianhao Li
Limin Wang
Gangshan Wu
91
103
0
09 Sep 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and Conquer
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
95
14
0
09 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang
Weidi Xie
Chaoqin Huang
Yanfeng Wang
Ya Zhang
Xin Chen
Qi Tian
79
6
0
07 Sep 2021
Knowledge Distillation Using Hierarchical Self-Supervision Augmented
  Distribution
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
115
16
0
07 Sep 2021
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