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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 / 786 papers shown
Title
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction
  and Lip Reading
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading
Leyuan Qu
C. Weber
S. Wermter
38
23
0
09 Dec 2021
Unsupervised Representation Learning via Neural Activation Coding
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park
Sangho Lee
Gunhee Kim
David M. Blei
SSL
26
8
0
07 Dec 2021
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
35
35
0
07 Dec 2021
Time-Equivariant Contrastive Video Representation Learning
Time-Equivariant Contrastive Video Representation Learning
Simon Jenni
Hailin Jin
SSL
AI4TS
143
60
0
07 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video
  Representation Learning
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning
Yang Liu
Keze Wang
Lingbo Liu
Hao Lan
Liang Lin
SSL
AI4TS
53
113
0
07 Dec 2021
General Facial Representation Learning in a Visual-Linguistic Manner
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng
Hao Yang
Ting Zhang
Jianmin Bao
Dongdong Chen
Yangyu Huang
Lu Yuan
Dong Chen
Ming Zeng
Fang Wen
CVBM
146
164
0
06 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
140
81
0
06 Dec 2021
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
Vivek Ramanujan
Pavan Kumar Anasosalu Vasu
Ali Farhadi
Oncel Tuzel
Hadi Pouransari
VLM
32
16
0
06 Dec 2021
BEVT: BERT Pretraining of Video Transformers
BEVT: BERT Pretraining of Video Transformers
Rui Wang
Dongdong Chen
Zuxuan Wu
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Yu-Gang Jiang
Luowei Zhou
Lu Yuan
ViT
39
203
0
02 Dec 2021
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
Michael S. Ryoo
ViT
41
84
0
02 Dec 2021
Deep residential representations: Using unsupervised learning to unlock
  elevation data for geo-demographic prediction
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction
Matthew Stevenson
Christophe Mues
Cristián Bravo
23
9
0
02 Dec 2021
Extract Free Dense Labels from CLIP
Extract Free Dense Labels from CLIP
Chong Zhou
Chen Change Loy
Bo Dai
VLM
CLIP
63
457
0
02 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
47
17
0
01 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
19
17
0
30 Nov 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
53
655
0
29 Nov 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
44
520
0
29 Nov 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
48
176
0
27 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSL
GAN
43
16
0
25 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
34
19
0
24 Nov 2021
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
SSL
21
18
0
24 Nov 2021
Distribution Estimation to Automate Transformation Policies for
  Self-Supervision
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang
Debasmit Das
Simyung Chang
Sungrack Yun
Fatih Porikli
19
6
0
24 Nov 2021
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna
Umapada Pal
Saumik Bhattacharya
SSL
35
1
0
24 Nov 2021
Learning Representation for Clustering via Prototype Scattering and
  Positive Sampling
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang
Jie Chen
Junping Zhang
Hongming Shan
36
88
0
23 Nov 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng-Wei Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
90
1,315
0
18 Nov 2021
Improving Transferability of Representations via Augmentation-Aware
  Self-Supervision
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
29
51
0
18 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning
LiT: Zero-Shot Transfer with Locked-image text Tuning
Xiaohua Zhai
Tianlin Li
Basil Mustafa
Andreas Steiner
Daniel Keysers
Alexander Kolesnikov
Lucas Beyer
VLM
48
544
0
15 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
21
714
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,503
0
11 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
26
6
0
10 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
25
2
0
08 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
30
6
0
04 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAML
VLM
22
120
0
01 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
26
108
0
01 Nov 2021
Equivariant Contrastive Learning
Equivariant Contrastive Learning
Rumen Dangovski
Li Jing
Charlotte Loh
Seung-Jun Han
Akash Srivastava
Brian Cheung
Pulkit Agrawal
Marin Soljacic
47
77
0
28 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
36
67
0
28 Oct 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
21
29
0
27 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
37
79
0
27 Oct 2021
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
27
71
0
27 Oct 2021
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
VLM
SSL
32
10
0
23 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
17
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
45
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
SSL
OOD
32
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
38
268
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
37
17
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
45
39
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
60
18
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
SSL
AI4TS
39
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
183
183
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
47
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
58
39
0
12 Oct 2021
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