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Revisiting Self-Supervised Visual Representation Learning

Revisiting Self-Supervised Visual Representation Learning

25 January 2019
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
    SSL
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Papers citing "Revisiting Self-Supervised Visual Representation Learning"

50 / 358 papers shown
Title
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
D. M. Nguyen
Thu Nguyen
Huong Vu
Quang Pham
Manh-Duy Nguyen
Binh T. Nguyen
Daniel Sonntag
18
20
0
04 Apr 2021
Self-supervised Motion Learning from Static Images
Self-supervised Motion Learning from Static Images
Ziyuan Huang
Shiwei Zhang
Jianwen Jiang
Mingqian Tang
Rong Jin
M. Ang
SSL
26
29
0
01 Apr 2021
Self-Supervised Euphemism Detection and Identification for Content
  Moderation
Self-Supervised Euphemism Detection and Identification for Content Moderation
Wanzheng Zhu
Hongyu Gong
Rohan Bansal
Zachary Weinberg
Nicolas Christin
Giulia Fanti
S. Bhat
31
40
0
31 Mar 2021
Benchmarking Representation Learning for Natural World Image Collections
Benchmarking Representation Learning for Natural World Image Collections
Grant Van Horn
Elijah Cole
Sara Beery
Kimberly Wilber
Serge J. Belongie
Oisin Mac Aodha
SSL
VLM
26
165
0
30 Mar 2021
Quantum Self-Supervised Learning
Quantum Self-Supervised Learning
Ben Jaderberg
L. W. Anderson
Weidi Xie
Samuel Albanie
M. Kiffner
D. Jaksch
SSL
21
39
0
26 Mar 2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and
  Handwriting
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
A. Bhunia
Pinaki Nath Chowdhury
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
SSL
20
59
0
25 Mar 2021
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree
  Panorama
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama
Phi Vu Tran
SSL
3DPC
3DV
22
12
0
25 Mar 2021
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy
  Labels
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
Evgenii Zheltonozhskii
Chaim Baskin
A. Mendelson
A. Bronstein
Or Litany
SSL
33
92
0
25 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
39
9
0
23 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
VLM
SSL
38
162
0
19 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator
Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong
Jinwoo Shin
30
65
0
17 Mar 2021
Semi-Supervised Learning for Eye Image Segmentation
Semi-Supervised Learning for Eye Image Segmentation
A. Chaudhary
P. Gyawali
Linwei Wang
J. Pelz
21
10
0
17 Mar 2021
Radar Camera Fusion via Representation Learning in Autonomous Driving
Radar Camera Fusion via Representation Learning in Autonomous Driving
Xu Dong
Binnan Zhuang
Yunxiang Mao
Langechuan Liu
15
36
0
14 Mar 2021
An Image-based Approach of Task-driven Driving Scene Categorization
An Image-based Approach of Task-driven Driving Scene Categorization
Shaochi Hu
Hanwei Fan
Biao Gao
Xijun Zhao
Huijing Zhao
11
0
0
10 Mar 2021
VideoMoCo: Contrastive Video Representation Learning with Temporally
  Adversarial Examples
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
Tian Pan
Yibing Song
Tianyu Yang
Wenhao Jiang
Wei Liu
33
222
0
10 Mar 2021
Self-Supervised Longitudinal Neighbourhood Embedding
Self-Supervised Longitudinal Neighbourhood Embedding
J. Ouyang
Qingyu Zhao
Ehsan Adeli
E. Sullivan
A. Pfefferbaum
Greg Zaharchuk
K. Pohl
19
19
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
41
70
0
05 Mar 2021
Self-supervised Pretraining of Visual Features in the Wild
Self-supervised Pretraining of Visual Features in the Wild
Priya Goyal
Mathilde Caron
Benjamin Lefaudeux
Min Xu
Pengchao Wang
...
Mannat Singh
Vitaliy Liptchinsky
Ishan Misra
Armand Joulin
Piotr Bojanowski
VLM
SSL
27
272
0
02 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
34
6
0
01 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
27
569
0
28 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You
Yong Liu
Jianmin Wang
Mingsheng Long
32
178
0
22 Feb 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
A. Spahr
Behzad Bozorgtabar
Jean-Philippe Thiran
27
16
0
19 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
22
43
0
13 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with
  Noisy Labels
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Zhaowei Zhu
Yiwen Song
Yang Liu
NoLa
21
91
0
10 Feb 2021
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
25
3
0
09 Feb 2021
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of
  Pre-trained Language Models
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
Yusheng Su
Xu Han
Yankai Lin
Zhengyan Zhang
Zhiyuan Liu
Peng Li
Jie Zhou
Maosong Sun
19
10
0
07 Feb 2021
Deep Learning for Scene Classification: A Survey
Deep Learning for Scene Classification: A Survey
Delu Zeng
Minyu Liao
M. Tavakolian
Yulan Guo
Bolei Zhou
D. Hu
M. Pietikäinen
Li Liu
VLM
29
27
0
26 Jan 2021
The emergence of visual semantics through communication games
The emergence of visual semantics through communication games
Daniela Mihai
Jonathon S. Hare
SSL
19
4
0
25 Jan 2021
Self-supervised pre-training enhances change detection in Sentinel-2
  imagery
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
Marrit Leenstra
Diego Marcos
F. Bovolo
D. Tuia
SSL
82
42
0
20 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
33
52
0
16 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
28
0
0
15 Jan 2021
A Multi-Stage Attentive Transfer Learning Framework for Improving
  COVID-19 Diagnosis
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis
Yi Liu
Shuiwang Ji
21
5
0
14 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
247
190
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
23
0
0
12 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
137
267
0
07 Jan 2021
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
39
103
0
20 Dec 2020
Self-Supervised Sketch-to-Image Synthesis
Self-Supervised Sketch-to-Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
SSL
25
43
0
16 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
27
0
0
14 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by
  Predicting Subtrees
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Nghi D. Q. Bui
Yijun Yu
Lingxiao Jiang
SSL
44
104
0
13 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
35
50
0
10 Dec 2020
Task Programming: Learning Data Efficient Behavior Representations
Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun
Ann Kennedy
Eric Zhan
David J. Anderson
Yisong Yue
Pietro Perona
26
48
0
27 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
35
274
0
26 Nov 2020
StackMix: A complementary Mix algorithm
StackMix: A complementary Mix algorithm
John Chen
Samarth Sinha
Anastasios Kyrillidis
20
3
0
25 Nov 2020
Run Away From your Teacher: Understanding BYOL by a Novel
  Self-Supervised Approach
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
Haizhou Shi
Dongliang Luo
Siliang Tang
Jian Wang
Yueting Zhuang
SSL
21
13
0
22 Nov 2020
Sub-clusters of Normal Data for Anomaly Detection
Sub-clusters of Normal Data for Anomaly Detection
Gahye Lee
Seungkyu Lee
OOD
12
0
0
17 Nov 2020
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial
  Networks
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
Gulcin Baykal
Furkan Ozcelik
Gözde B. Ünal
22
14
0
03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
18
499
0
03 Nov 2020
An iterative framework for self-supervised deep speaker representation
  learning
An iterative framework for self-supervised deep speaker representation learning
Danwei Cai
Weiqing Wang
Ming Li
SSL
22
37
0
25 Oct 2020
Unsupervised Vision-and-Language Pre-training Without Parallel Images
  and Captions
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions
Liunian Harold Li
Haoxuan You
Zhecan Wang
Alireza Zareian
Shih-Fu Chang
Kai-Wei Chang
SSL
VLM
72
12
0
24 Oct 2020
Contrastive Self-Supervised Learning for Wireless Power Control
Contrastive Self-Supervised Learning for Wireless Power Control
Navid Naderializadeh
SSL
28
6
0
22 Oct 2020
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