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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
Train a One-Million-Way Instance Classifier for Unsupervised Visual
  Representation Learning
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu
Lianghua Huang
Pan Pan
Bin Wang
Yinghui Xu
Rong Jin
SSL
67
3
0
09 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
101
325
0
09 Feb 2021
A novel multiple instance learning framework for COVID-19 severity
  assessment via data augmentation and self-supervised learning
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Ze-kun Li
Wei Zhao
F. Shi
Lei Qi
Xingzhi Xie
...
Yang Gao
Shangjie Wu
Jun Liu
Yinghuan Shi
Dinggang Shen
93
60
0
07 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
198
485
0
28 Jan 2021
Neural Architecture Search with Random Labels
Neural Architecture Search with Random Labels
Xuanyang Zhang
Pengfei Hou
Xinming Zhang
Jian Sun
86
53
0
28 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification
Supervised Momentum Contrastive Learning for Few-Shot Classification
Orchid Majumder
Avinash Ravichandran
Subhransu Maji
Alessandro Achille
M. Polito
Stefano Soatto
SSL
100
12
0
26 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
39
5
0
24 Jan 2021
Online Adversarial Purification based on Self-Supervision
Online Adversarial Purification based on Self-Supervision
Changhao Shi
Chester Holtz
Zhengchao Wan
AAML
82
57
0
23 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
101
25
0
21 Jan 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
140
121
0
21 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
134
120
0
21 Jan 2021
Cross-domain few-shot learning with unlabelled data
Cross-domain few-shot learning with unlabelled data
Fupin Yao
63
10
0
19 Jan 2021
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative
  Adversarial Networks
JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
Ru Li
Shuaicheng Liu
Guangfu Wang
Guanghui Liu
B. Zeng
GAN
70
26
0
19 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
113
16
0
19 Jan 2021
Self-Supervised Representation Learning from Flow Equivariance
Self-Supervised Representation Learning from Flow Equivariance
Yuwen Xiong
Mengye Ren
Wenyuan Zeng
R. Urtasun
SSL
97
29
0
16 Jan 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
87
51
0
16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
336
525
0
15 Jan 2021
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast
  Cancers with Mammography
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography
Ronglin Gong
Jun Wang
Jun Shi
35
0
0
15 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
121
522
0
13 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
334
196
0
12 Jan 2021
Explicit homography estimation improves contrastive self-supervised
  learning
Explicit homography estimation improves contrastive self-supervised learning
David Torpey
Richard Klein
SSL
79
0
0
12 Jan 2021
Resolution-Based Distillation for Efficient Histology Image
  Classification
Resolution-Based Distillation for Efficient Histology Image Classification
Joseph DiPalma
A. Suriawinata
L. Tafe
Lorenzo Torresani
Saeed Hassanpour
72
35
0
11 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
222
272
0
07 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
393
2,568
0
04 Jan 2021
Temporal Contrastive Graph Learning for Video Action Recognition and
  Retrieval
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
Yang Liu
Keze Wang
Haoyuan Lan
Liang Lin
175
16
0
04 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification
Spatial Contrastive Learning for Few-Shot Classification
Yassine Ouali
C´eline Hudelot
Myriam Tami
59
51
0
26 Dec 2020
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
36
3
0
26 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
88
24
0
25 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
98
71
0
21 Dec 2020
Knowledge as Invariance -- History and Perspectives of
  Knowledge-augmented Machine Learning
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning
A. Sagel
Amit Sahu
Stefan Matthes
H. Pfeifer
Tianming Qiu
Harald Ruess
Hao Shen
Julian Wormann
61
3
0
21 Dec 2020
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training
  for 3D Hand-Object Joint Reconstruction
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction
Mengshi Qi
Edoardo Remelli
Mathieu Salzmann
Pascal Fua
TTA3DH
57
5
0
21 Dec 2020
Sequence-to-Sequence Contrastive Learning for Text Recognition
Sequence-to-Sequence Contrastive Learning for Text Recognition
Aviad Aberdam
Ron Litman
Shahar Tsiper
Oron Anschel
Ron Slossberg
Shai Mazor
R. Manmatha
Pietro Perona
97
109
0
20 Dec 2020
Self-supervised Learning with Fully Convolutional Networks
Self-supervised Learning with Fully Convolutional Networks
Zhengeng Yang
Hongshan Yu
Yong-xing He
Zhihong Mao
Ajmal Mian
SSLSSeg
49
1
0
18 Dec 2020
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
118
15
0
17 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
70
44
0
16 Dec 2020
Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep
  Learning
Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep Learning
Biagio Brattoli
Uta Büchler
Michael Dorkenwald
Philipp Reiser
Linard Filli
F. Helmchen
A. Wahl
Bjorn Ommer
54
3
0
16 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
OOD
141
0
0
16 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
132
697
0
15 Dec 2020
Aggregative Self-Supervised Feature Learning from a Limited Sample
Aggregative Self-Supervised Feature Learning from a Limited Sample
Jiuwen Zhu
Yuexiang Li
S. Kevin Zhou
SSL
65
0
0
14 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
216
260
0
14 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
91
30
0
14 Dec 2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D
  Human Pose Estimation
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
Kun Zhang
Rui Wu
Ping Yao
Kai Deng
Ding Li
Renbiao Liu
Chuanguang Yang
Ge Chen
Min Du
Tianyao Zheng
3DH
48
1
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
97
123
0
12 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for
  Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun
Ke Yu
Kayhan Batmanghelich
SSL
90
24
0
11 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
101
80
0
08 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels
Fine-grained Angular Contrastive Learning with Coarse Labels
Guy Bukchin
Eli Schwartz
Kate Saenko
Ori Shahar
Rogerio Feris
Raja Giryes
Leonid Karlinsky
108
54
0
07 Dec 2020
Self-Supervised Visual Representation Learning from Hierarchical
  Grouping
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang
Michael Maire
SSL
99
74
0
05 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
60
12
0
04 Dec 2020
Super-Selfish: Self-Supervised Learning on Images with PyTorch
Super-Selfish: Self-Supervised Learning on Images with PyTorch
Nicolas Wagner
Anirban Mukhopadhyay
SSL
76
0
0
04 Dec 2020
Rethinking supervised learning: insights from biological learning and
  from calling it by its name
Rethinking supervised learning: insights from biological learning and from calling it by its name
Alex Hernandez-Garcia
SSL
28
0
0
04 Dec 2020
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