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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 / 133 papers shown
Title
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations
Junsong Zhang
Chunyu Lin
Zhijie Shen
Lang Nie
K. Liao
Yao Zhao
35
0
0
03 Mar 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
56
4
0
28 Jan 2025
Unsupervised Representation Learning by Balanced Self Attention Matching
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam
Simon Korman
SSL
38
0
0
04 Aug 2024
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
Unveiling the Potential of AI for Nanomaterial Morphology Prediction
Ivan Dubrovsky
Andrei Dmitrenko
Aleksei Dmitrenko
N. Serov
Vladimir Vinogradov
AI4CE
29
2
0
31 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
Farhad Pourpanah
Mahdiyar Molahasani
Milad Soltany
Michael A. Greenspan
Ali Etemad
FedML
OOD
89
2
0
25 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
64
1
0
08 May 2024
Data-efficient Large Vision Models through Sequential Autoregression
Data-efficient Large Vision Models through Sequential Autoregression
Jianyuan Guo
Zhiwei Hao
Chengcheng Wang
Yehui Tang
Han Wu
Han Hu
Kai Han
Chang Xu
VLM
38
10
0
07 Feb 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning
Ye Lin Tun
Chu Myaet Thwal
Le Quang Huy
Minh N. H. Nguyen
Choong Seon Hong
FedML
40
2
0
22 Jan 2024
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image
  Colorization
Color-S4LS^{4}LS4L: Self-supervised Semi-supervised Learning with Image Colorization
Hanxiao Chen
SSL
VLM
14
2
0
08 Jan 2024
C-SAW: Self-Supervised Prompt Learning for Image Generalization in
  Remote Sensing
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing
Avigyan Bhattacharya
Mainak Singha
Ankit Jha
Biplab Banerjee
SSL
VLM
26
6
0
27 Nov 2023
Towards a Visual-Language Foundation Model for Computational Pathology
Towards a Visual-Language Foundation Model for Computational Pathology
Ming Y. Lu
Bowen Chen
Drew F. K. Williamson
Richard J. Chen
Ivy Liang
...
Andrew Zhang
L. Le
Georg Gerber
Anil V. Parwani
Faisal Mahmood
VLM
MedIm
40
46
0
24 Jul 2023
Decoupling anomaly discrimination and representation learning:
  self-supervised learning for anomaly detection on attributed graph
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Yanming Hu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
27
1
0
11 Apr 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
Zhiyuan Li
Hailong Li
Anca L. Ralescu
Jonathan R. Dillman
N. Parikh
Lili He
35
7
0
20 Feb 2023
CRC-RL: A Novel Visual Feature Representation Architecture for
  Unsupervised Reinforcement Learning
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning
Darshita Jain
A. Majumder
S. Dutta
Swagat Kumar
SSL
26
1
0
31 Jan 2023
Universal Object Detection with Large Vision Model
Universal Object Detection with Large Vision Model
Feng-Huei Lin
Wenze Hu
Yaowei Wang
Yonghong Tian
Guangming Lu
Fanglin Chen
Yong-mei Xu
Xiaoyu Wang
VLM
ObjD
32
8
0
19 Dec 2022
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for
  Multivariate Time Series
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Qianwen Meng
Hangwei Qian
Yong Liu
Li-zhen Cui
Yonghui Xu
Zhiqi Shen
AI4TS
23
33
0
02 Dec 2022
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video
  Deepfake Detection
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection
Gil Knafo
Ohad Fried
23
5
0
01 Dec 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
4
0
31 Oct 2022
Hierarchical Semi-Supervised Contrastive Learning for
  Contamination-Resistant Anomaly Detection
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Gaoang Wang
Yibing Zhan
Xinchao Wang
Min-Gyoo Song
K. Nahrstedt
24
11
0
24 Jul 2022
Is one annotation enough? A data-centric image classification benchmark
  for noisy and ambiguous label estimation
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation
Lars Schmarje
Vasco Grossmann
Claudius Zelenka
S. Dippel
R. Kiko
...
M. Pastell
J. Stracke
A. Valros
N. Volkmann
Reinahrd Koch
43
34
0
13 Jul 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
23
13
0
11 Jul 2022
Pixel-level Correspondence for Self-Supervised Learning from Video
Pixel-level Correspondence for Self-Supervised Learning from Video
Yash Sharma
Yi Zhu
Chris Russell
Thomas Brox
SSL
15
4
0
08 Jul 2022
Federated Self-supervised Learning for Video Understanding
Federated Self-supervised Learning for Video Understanding
Yasar Abbas Ur Rehman
Yan Gao
Jiajun Shen
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
36
15
0
05 Jul 2022
GaLeNet: Multimodal Learning for Disaster Prediction, Management and
  Relief
GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
Rohit Saha
Meng Fang
Angeline Yasodhara
Kyryl Truskovskyi
Azin Asgarian
D. Homola
Raahil Shah
Frederik Dieleman
Jack Weatheritt
Thomas Rogers
23
3
0
18 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Sihang Li
Xiang Wang
An Zhang
Y. Wu
Xiangnan He
Tat-Seng Chua
21
93
0
16 Jun 2022
Multi-Augmentation for Efficient Visual Representation Learning for
  Self-supervised Pre-training
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training
Van-Nhiem Tran
Chi-En Huang
Shenxiu Liu
Kaicheng Yang
Timothy Ko
Yung-Hui Li
SSL
25
0
0
24 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
193
26
0
23 May 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 Apr 2022
Self-Labeling Refinement for Robust Representation Learning with
  Bootstrap Your Own Latent
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg
Dhruval Jain
SSL
42
0
0
09 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
22
97
0
09 Apr 2022
Contrasting the landscape of contrastive and non-contrastive learning
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle
Jinjin Tian
Yuchen Li
Andrej Risteski
SSL
30
28
0
29 Mar 2022
Reinforcement-based frugal learning for satellite image change detection
Reinforcement-based frugal learning for satellite image change detection
Sebastien Deschamps
H. Sahbi
30
1
0
22 Mar 2022
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image
  Change Detection
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
30
0
0
22 Mar 2022
Transfer of Representations to Video Label Propagation: Implementation
  Factors Matter
Transfer of Representations to Video Label Propagation: Implementation Factors Matter
Daniel McKee
Zitong Zhan
Bing Shuai
Davide Modolo
Joseph Tighe
Svetlana Lazebnik
SSL
13
4
0
10 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
35
106
0
02 Mar 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
39
85
0
22 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Backdoor Defense via Decoupling the Training Process
Backdoor Defense via Decoupling the Training Process
Kunzhe Huang
Yiming Li
Baoyuan Wu
Zhan Qin
Kui Ren
AAML
FedML
24
185
0
05 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
16
58
0
01 Feb 2022
Denoised Labels for Financial Time-Series Data via Self-Supervised
  Learning
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning
Yanqing Ma
Carmine Ventre
M. Polukarov
NoLa
23
7
0
19 Dec 2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
32
5
0
10 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP
  Perspective
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
Yizhou Wang
Shixiang Tang
Feng Zhu
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
26
51
0
01 Dec 2021
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image
  Classification
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification
Long Gao
Chang Liu
Dooman Arefan
A. Panigrahy
M. Zuley
Shandong Wu
VLM
23
2
0
20 Nov 2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly
  Detection
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection
Weiyao Wang
Aniruddha Tamhane
Christine Santos
J. Rzasa
James H Clark
Therese L. Canares
Mathias Unberath
32
4
0
25 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
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
H. Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
271
0
18 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
26
16
0
15 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
39
17
0
13 Oct 2021
Active learning for interactive satellite image change detection
Active learning for interactive satellite image change detection
H. Sahbi
Sebastien Deschamps
Andrei Stoian
34
6
0
08 Oct 2021
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