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VICRegL: Self-Supervised Learning of Local Visual Features

VICRegL: Self-Supervised Learning of Local Visual Features

4 October 2022
Adrien Bardes
Jean Ponce
Yann LeCun
    SSL
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Papers citing "VICRegL: Self-Supervised Learning of Local Visual Features"

47 / 47 papers shown
Title
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining
Weizhen He
Yunfeng Yan
Shixiang Tang
Yiheng Deng
Yangyang Zhong
Pengxin Luo
Donglian Qi
VLM
160
1
0
29 Apr 2025
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
Xin Wen
Bingchen Zhao
Yilun Chen
Jiangmiao Pang
Xiaojuan Qi
LM&Ro
168
0
0
10 Mar 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou
Haozhe Luo
M. Taher
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
MedIm
106
0
0
20 Jan 2025
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Marcin Przewiȩźlikowski
Randall Balestriero
Wojciech Jasiński
Marek 'Smieja
Bartosz Zieliñski
137
1
0
04 Dec 2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
Maciej K. Wozniak
Hariprasath Govindarajan
Marvin Klingner
Camille Maurice
B Ravi Kiran
S. Yogamani
3DPC
115
1
0
30 Oct 2024
On the duality between contrastive and non-contrastive self-supervised
  learning
On the duality between contrastive and non-contrastive self-supervised learning
Q. Garrido
Yubei Chen
Adrien Bardes
Laurent Najman
Yann LeCun
SSL
51
90
0
03 Jun 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Jun Chen
Ming Hu
Boyang Albert Li
Mohamed Elhoseiny
105
36
0
01 Jun 2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou
Yichen Zhou
Chenyang Si
Weihao Yu
Teck Khim Ng
Shuicheng Yan
VLM
61
60
0
27 Mar 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
SSL
VLM
60
35
0
22 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
73
89
0
16 Mar 2022
InsCon:Instance Consistency Feature Representation via Self-Supervised
  Learning
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
Jun-Teng Yang
Ke Zhang
Zhaolin Cui
Jinming Su
Junfeng Luo
Xiaolin K. Wei
ISeg
SSL
43
10
0
15 Mar 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
129
82
0
13 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
148
5,158
0
10 Jan 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
69
150
0
20 Dec 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
74
733
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
427
7,731
0
11 Nov 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
94
48
0
27 Sep 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
92
213
0
17 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
149
932
0
11 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
228
467
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
613
6,059
0
29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
146
1,862
0
05 Apr 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLM
SSL
58
118
0
24 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
65
164
0
19 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
298
2,343
0
04 Mar 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViT
SSL
125
149
0
16 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
247
4,047
0
20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
99
413
0
19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
72
683
0
18 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
557
40,961
0
22 Oct 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
283
115
0
20 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CML
OOD
SSL
60
249
0
15 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
349
6,792
0
13 Jun 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
452
3,427
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
341
18,721
0
13 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSL
VLM
95
1,453
0
04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
181
12,065
0
13 Nov 2019
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSL
DRL
310
2,662
0
20 Aug 2018
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
128
848
0
13 Aug 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
120
3,678
0
08 Jun 2017
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
386
1,871
0
18 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,114
0
13 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
703
37,843
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,606
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
484
62,243
0
04 Jun 2015
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