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Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
v1v2 (latest)

Beyond [cls]: Exploring the true potential of Masked Image Modeling representations

4 December 2024
Marcin Przewiȩźlikowski
Randall Balestriero
Wojciech Jasiński
Marek 'Smieja
Bartosz Zieliñski
ArXiv (abs)PDFHTML

Papers citing "Beyond [cls]: Exploring the true potential of Masked Image Modeling representations"

50 / 57 papers shown
Title
Attention, Please! Revisiting Attentive Probing for Masked Image Modeling
Attention, Please! Revisiting Attentive Probing for Masked Image Modeling
Bill Psomas
Dionysis Christopoulos
Eirini Baltzi
Ioannis Kakogeorgiou
Tilemachos Aravanis
N. Komodakis
Konstantinos Karantzalos
Yannis Avrithis
Giorgos Tolias
56
0
0
11 Jun 2025
SemanticMIM: Marring Masked Image Modeling with Semantics Compression
  for General Visual Representation
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan
Huanzhang Dou
Fengjun Guo
Xi Li
99
2
0
15 Jun 2024
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position
  and Scale
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
Adam Pardyl
Michal Wronka
Maciej Wolczyk
Kamil Adamczewski
Tomasz Trzciñski
Bartosz Zieliñski
85
2
0
04 Apr 2024
Learning by Reconstruction Produces Uninformative Features For
  Perception
Learning by Reconstruction Produces Uninformative Features For Perception
Randall Balestriero
Yann LeCun
70
23
0
17 Feb 2024
Revisiting Feature Prediction for Learning Visual Representations from
  Video
Revisiting Feature Prediction for Learning Visual Representations from Video
Adrien Bardes
Q. Garrido
Jean Ponce
Xinlei Chen
Michael G. Rabbat
Yann LeCun
Mahmoud Assran
Nicolas Ballas
MDEVLM
155
87
0
15 Feb 2024
Is ImageNet worth 1 video? Learning strong image encoders from 1 long
  unlabelled video
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Shashanka Venkataramanan
Mamshad Nayeem Rizve
João Carreira
Yuki M. Asano
Yannis Avrithis
SSL
66
20
0
12 Oct 2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention
  Deficit?
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Bill Psomas
Ioannis Kakogeorgiou
Konstantinos Karantzalos
Yannis Avrithis
ViT
71
10
0
13 Sep 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector
Augmentation-aware Self-supervised Learning with Conditioned Projector
Marcin Przewike'zlikowski
Mateusz Pyla
Bartosz Zieliñski
Bartlomiej Twardowski
Jacek Tabor
Marek Śmieja
SSL
93
3
0
31 May 2023
What Do Self-Supervised Vision Transformers Learn?
What Do Self-Supervised Vision Transformers Learn?
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
176
80
1
01 May 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDaFedMLSSL
154
284
0
24 Apr 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
448
3,529
0
14 Apr 2023
Active Visual Exploration Based on Attention-Map Entropy
Active Visual Exploration Based on Attention-Map Entropy
Adam Pardyl
Grzegorz Rype'sć
Grzegorz Kurzejamski
Bartosz Zieliñski
Tomasz Trzciñski
93
6
0
11 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
Henry Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
88
11
0
24 Feb 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive
  Architecture
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
SSLAI4TSMDE
143
361
0
19 Jan 2023
How Mask Matters: Towards Theoretical Understandings of Masked
  Autoencoders
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
Qi Zhang
Yifei Wang
Yisen Wang
79
76
0
15 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised Learning
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
96
50
0
13 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
99
126
0
04 Oct 2022
Exploring Target Representations for Masked Autoencoders
Exploring Target Representations for Masked Autoencoders
Xingbin Liu
Jinghao Zhou
Tao Kong
Xianming Lin
Rongrong Ji
195
52
0
08 Sep 2022
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
71
322
0
12 Aug 2022
Understanding Masked Image Modeling via Learning Occlusion Invariant
  Feature
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
Xiangwen Kong
Xiangyu Zhang
SSL
75
54
0
08 Aug 2022
Guillotine Regularization: Why removing layers is needed to improve
  generalization in Self-Supervised Learning
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Florian Bordes
Randall Balestriero
Q. Garrido
Adrien Bardes
Pascal Vincent
115
24
0
27 Jun 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
131
325
0
14 Apr 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
193
400
0
07 Feb 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
184
674
0
16 Dec 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
246
1,371
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
85
55
0
18 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
ViTTPM
507
7,865
0
11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
328
2,853
0
15 Jun 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
821
6,149
0
29 Apr 2021
Condenser: a Pre-training Architecture for Dense Retrieval
Condenser: a Pre-training Architecture for Dense Retrieval
Luyu Gao
Jamie Callan
AI4CE
59
267
0
16 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
110
139
0
08 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
179
1,874
0
05 Apr 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
360
2,372
0
04 Mar 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
266
4,081
0
20 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
738
41,796
0
22 Oct 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSLDRL
111
303
0
13 Aug 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
OCLSSL
334
4,109
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
459
6,864
0
13 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
120
1,340
0
20 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
559
3,450
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
422
18,968
0
13 Feb 2020
Evaluating Weakly Supervised Object Localization Methods Right
Evaluating Weakly Supervised Object Localization Methods Right
Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
WSOL
403
189
0
21 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
632
42,770
0
03 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
261
12,164
0
13 Nov 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.9K
95,531
0
11 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
360
10,385
0
10 Jul 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
275
3,304
0
21 Mar 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
211
1,841
0
13 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
939
133,201
0
12 Jun 2017
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
222
19
0
30 Mar 2016
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