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Efficient Self-supervised Vision Transformers for Representation
  Learning

Efficient Self-supervised Vision Transformers for Representation Learning

17 June 2021
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
    ViT
ArXivPDFHTML

Papers citing "Efficient Self-supervised Vision Transformers for Representation Learning"

50 / 148 papers shown
Title
Object Detection with Transformers: A Review
Object Detection with Transformers: A Review
Tahira Shehzadi
K. Hashmi
D. Stricker
Muhammad Zeshan Afzal
ViT
MU
13
26
0
07 Jun 2023
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang
Ting Huang
Yao-Xiang Ding
De-Chuan Zhan
Han-Jia Ye
19
22
0
06 Jun 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
16
35
0
23 May 2023
Efficient Large-Scale Visual Representation Learning And Evaluation
Efficient Large-Scale Visual Representation Learning And Evaluation
Eden Dolev
A. Awad
Denisa Roberts
Zahra Ebrahimzadeh
Marcin Mejran
Vaibhav Malpani
Mahir Yavuz
30
0
0
22 May 2023
Visual Tuning
Visual Tuning
Bruce X. B. Yu
Jianlong Chang
Haixin Wang
Lin Liu
Shijie Wang
...
Lingxi Xie
Haojie Li
Zhouchen Lin
Qi Tian
Chang Wen Chen
VLM
39
37
0
10 May 2023
Detecting Novelties with Empty Classes
Detecting Novelties with Empty Classes
Svenja Uhlemeyer
Julian Lienen
Eyke Hüllermeier
Hanno Gottschalk
13
1
0
30 Apr 2023
DIAMANT: Dual Image-Attention Map Encoders For Medical Image
  Segmentation
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
Yousef Yeganeh
Azade Farshad
Peter Weinberger
Seyed-Ahmad Ahmadi
Ehsan Adeli
Nassir Navab
ViT
MedIm
15
0
0
28 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards
  Boosted Few-Shot Parameter-Efficient Tuning
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Zhongzhi Yu
Shang Wu
Y. Fu
Shunyao Zhang
Yingyan Lin
23
6
0
25 Apr 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
SyDa
FedML
SSL
31
270
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
VLM
CLIP
SSL
32
2,983
0
14 Apr 2023
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch
Shengbang Tong
Yubei Chen
Y. Ma
Yann LeCun
13
24
0
08 Apr 2023
Rethinking Evaluation Protocols of Visual Representations Learned via
  Self-supervised Learning
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Jaehoon Lee
Doyoung Yoon
Byeongmoon Ji
Kyungyul Kim
Sangheum Hwang
SSL
55
3
0
07 Apr 2023
Adaptive Similarity Bootstrapping for Self-Distillation based
  Representation Learning
Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
14
2
0
23 Mar 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation
  Learning
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Thomas Stegmüller
Tim Lebailly
Behzad Bozorgtabar
Tinne Tuytelaars
Jean-Philippe Thiran
24
15
0
23 Mar 2023
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling
  for Multi-view 3D Understanding
GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding
Jihao Liu
Tai Wang
Boxiao Liu
Qihang Zhang
Yu Liu
Hongsheng Li
25
16
0
20 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim
Sangmin Bae
Se-Young Yun
11
9
0
20 Mar 2023
Making Vision Transformers Efficient from A Token Sparsification View
Making Vision Transformers Efficient from A Token Sparsification View
Shuning Chang
Pichao Wang
Ming Lin
Fan Wang
David Junhao Zhang
Rong Jin
Mike Zheng Shou
ViT
43
23
0
15 Mar 2023
Self-supervised learning of Split Invariant Equivariant representations
Self-supervised learning of Split Invariant Equivariant representations
Q. Garrido
Laurent Najman
Yann LeCun
SSL
16
32
0
14 Feb 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
22
48
0
28 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
24
117
0
13 Jan 2023
Disjoint Masking with Joint Distillation for Efficient Masked Image
  Modeling
Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling
Xin Ma
Chang-Shu Liu
Chunyu Xie
Long Ye
Yafeng Deng
Xiang Ji
18
8
0
31 Dec 2022
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection
Wei Sun
Chengao Liu
Linyan Zhang
Yu Li
Pengxu Wei
Chang-rui Liu
J. Zou
Jianbin Jiao
QiXiang Ye
35
6
0
16 Dec 2022
FlexiViT: One Model for All Patch Sizes
FlexiViT: One Model for All Patch Sizes
Lucas Beyer
Pavel Izmailov
Alexander Kolesnikov
Mathilde Caron
Simon Kornblith
Xiaohua Zhai
Matthias Minderer
Michael Tschannen
Ibrahim M. Alabdulmohsin
Filip Pavetić
VLM
28
89
0
15 Dec 2022
Efficient Self-supervised Learning with Contextualized Target
  Representations for Vision, Speech and Language
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Alexei Baevski
Arun Babu
Wei-Ning Hsu
Michael Auli
VLM
SSL
27
90
0
14 Dec 2022
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang
Heon Song
Seonwook Park
Donggeun Yoo
Sérgio Pereira
11
124
0
09 Dec 2022
A Unified Framework for Contrastive Learning from a Perspective of
  Affinity Matrix
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix
Wenbin Li
Meihao Kong
Xuesong Yang
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
17
0
0
26 Nov 2022
Could Giant Pretrained Image Models Extract Universal Representations?
Could Giant Pretrained Image Models Extract Universal Representations?
Yutong Lin
Ze Liu
Zheng-Wei Zhang
Han Hu
Nanning Zheng
Stephen Lin
Yue Cao
VLM
38
9
0
03 Nov 2022
Max Pooling with Vision Transformers reconciles class and shape in
  weakly supervised semantic segmentation
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
Simone Rossetti
Damiano Zappia
Marta Sanzari
M. Schaerf
F. Pirri
ViT
28
57
0
31 Oct 2022
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised
  Object Discovery with Transformers
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin
Ze Yang
Yongtao Wang
ViT
10
2
0
24 Oct 2022
Accumulated Trivial Attention Matters in Vision Transformers on Small
  Datasets
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Xiangyu Chen
Qinghao Hu
Kaidong Li
Cuncong Zhong
Guanghui Wang
ViT
33
11
0
22 Oct 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic
  Retinopathy Grading
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
Yijin Huang
Junyan Lyu
Pujin Cheng
Roger Tam
Xiaoying Tang
ViT
MedIm
11
19
0
20 Oct 2022
LAVA: Label-efficient Visual Learning and Adaptation
LAVA: Label-efficient Visual Learning and Adaptation
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
VLM
8
1
0
19 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
13
1
0
16 Oct 2022
How to Train Vision Transformer on Small-scale Datasets?
How to Train Vision Transformer on Small-scale Datasets?
Hanan Gani
Muzammal Naseer
Mohammad Yaqub
ViT
12
49
0
13 Oct 2022
Exploring Long-Sequence Masked Autoencoders
Exploring Long-Sequence Masked Autoencoders
Ronghang Hu
Shoubhik Debnath
Saining Xie
Xinlei Chen
8
17
0
13 Oct 2022
RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
46
71
0
05 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
17
118
0
04 Oct 2022
Attention Distillation: self-supervised vision transformer students need
  more guidance
Attention Distillation: self-supervised vision transformer students need more guidance
Kai Wang
Fei Yang
Joost van de Weijer
ViT
17
14
0
03 Oct 2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Bruce X. B. Yu
Jianlong Chang
Lin Liu
Qi Tian
Changan Chen
VPVLM
VLM
68
33
0
03 Oct 2022
Mixed-domain Training Improves Multi-Mission Terrain Segmentation
Mixed-domain Training Improves Multi-Mission Terrain Segmentation
Grace Vincent
Alice Yepremyan
Jingdao Chen
Edwin Y. Goh
14
2
0
27 Sep 2022
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D
  Image Representations
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
Vadim Tschernezki
Iro Laina
Diane Larlus
Andrea Vedaldi
170
184
0
07 Sep 2022
Global-Local Self-Distillation for Visual Representation Learning
Global-Local Self-Distillation for Visual Representation Learning
Tim Lebailly
Tinne Tuytelaars
SSL
19
6
0
29 Jul 2022
Decoupled Adversarial Contrastive Learning for Self-supervised
  Adversarial Robustness
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
Axi Niu
Jiu Feng
Chang-Dong Yoo
In So Kweon
SSL
28
24
0
22 Jul 2022
Unsupervised Visual Representation Learning by Synchronous Momentum
  Grouping
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
Bo Pang
Yifan Zhang
Yaoyi Li
Jia Cai
Cewu Lu
SSL
12
27
0
13 Jul 2022
Vision Transformers: State of the Art and Research Challenges
Vision Transformers: State of the Art and Research Challenges
Bo-Kai Ruan
Hong-Han Shuai
Wen-Huang Cheng
ViT
11
17
0
07 Jul 2022
MaiT: Leverage Attention Masks for More Efficient Image Transformers
MaiT: Leverage Attention Masks for More Efficient Image Transformers
Ling Li
Ali Shafiee Ardestani
Joseph Hassoun
6
1
0
06 Jul 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
14
22
0
27 Jun 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
12
214
0
27 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
71
19
1
16 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Hanchen Wang
Jean Kaddour
Shengchao Liu
Jian Tang
Joan Lasenby
Qi Liu
17
20
0
16 Jun 2022
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