ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.07832
  4. Cited By
iBOT: Image BERT Pre-Training with Online Tokenizer
v1v2v3 (latest)

iBOT: Image BERT Pre-Training with Online Tokenizer

15 November 2021
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
ArXiv (abs)PDFHTML

Papers citing "iBOT: Image BERT Pre-Training with Online Tokenizer"

50 / 605 papers shown
Title
MogaNet: Multi-order Gated Aggregation Network
MogaNet: Multi-order Gated Aggregation NetworkInternational Conference on Learning Representations (ICLR), 2022
Siyuan Li
Zedong Wang
Zicheng Liu
Cheng Tan
Haitao Lin
Di Wu
Zhiyuan Chen
Jiangbin Zheng
Stan Z. Li
245
115
0
07 Nov 2022
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
On Fine-Tuned Deep Features for Unsupervised Domain AdaptationIEEE International Joint Conference on Neural Network (IJCNN), 2022
Qian Wang
T. Breckon
141
4
0
25 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
171
17
0
24 Oct 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease
  Classification
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Junfei Xiao
Yutong Bai
Alan Yuille
Zongwei Zhou
MedImViT
186
90
0
23 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
126
8
0
23 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
183
16
0
23 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy CodingNeural Information Processing Systems (NeurIPS), 2022
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
265
54
0
20 Oct 2022
Towards Sustainable Self-supervised Learning
Towards Sustainable Self-supervised Learning
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
CLL
312
11
0
20 Oct 2022
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View
  Completion
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionNeural Information Processing Systems (NeurIPS), 2022
Philippe Weinzaepfel
Vincent Leroy
Thomas Lucas
Romain Brégier
Yohann Cabon
Vaibhav Arora
L. Antsfeld
Boris Chidlovskii
G. Csurka
Jérôme Revaud
SSL
330
120
0
19 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2022
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLMCLIP
182
33
0
17 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
181
1
0
16 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
183
62
0
13 Oct 2022
How to Train Vision Transformer on Small-scale Datasets?
How to Train Vision Transformer on Small-scale Datasets?British Machine Vision Conference (BMVC), 2022
Hanan Gani
Muzammal Naseer
Mohammad Yaqub
ViT
167
62
0
13 Oct 2022
Exploring Long-Sequence Masked Autoencoders
Exploring Long-Sequence Masked Autoencoders
Ronghang Hu
Shoubhik Debnath
Saining Xie
Xinlei Chen
171
22
0
13 Oct 2022
OPERA: Omni-Supervised Representation Learning with Hierarchical
  Supervisions
OPERA: Omni-Supervised Representation Learning with Hierarchical SupervisionsIEEE International Conference on Computer Vision (ICCV), 2022
Cheng-Hao Wang
Wenzhao Zheng
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
SSLAI4TS
196
5
0
11 Oct 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans
  Classification
Self-supervised Model Based on Masked Autoencoders Advance CT Scans ClassificationInternational Journal of Image Graphics and Signal Processing (IJIGSP), 2022
Jiashu Xu
S. Stirenko
127
3
0
11 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 rankInternational Conference on Machine Learning (ICML), 2022
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
262
110
0
05 Oct 2022
Exploring The Role of Mean Teachers in Self-supervised Masked
  Auto-Encoders
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
Youngwan Lee
Jeffrey Willette
Jonghee Kim
Juho Lee
Sung Ju Hwang
162
20
0
05 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual FeaturesNeural Information Processing Systems (NeurIPS), 2022
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
206
150
0
04 Oct 2022
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth
  Pre-training
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-trainingIEEE International Conference on Computer Vision (ICCV), 2022
Tianyu Huang
Bowen Dong
Yunhan Yang
Xiaoshui Huang
Rynson W. H. Lau
Wanli Ouyang
W. Zuo
VLM3DPCCLIP
504
196
0
03 Oct 2022
Attention Distillation: self-supervised vision transformer students need
  more guidance
Attention Distillation: self-supervised vision transformer students need more guidanceBritish Machine Vision Conference (BMVC), 2022
Kai Wang
Fei Yang
Joost van de Weijer
ViT
146
21
0
03 Oct 2022
Rethinking the Learning Paradigm for Facial Expression Recognition
Rethinking the Learning Paradigm for Facial Expression Recognition
Weijie Wang
Andrii Zadaianchuk
Bruno Lepri
Bruno Lepri
219
4
0
30 Sep 2022
Zero-shot visual reasoning through probabilistic analogical mapping
Zero-shot visual reasoning through probabilistic analogical mappingNature Communications (Nat Commun), 2022
Taylor Webb
Shuhao Fu
Trevor Bihl
K. Holyoak
Hongjing Lu
LRM
135
20
0
29 Sep 2022
Audio Barlow Twins: Self-Supervised Audio Representation Learning
Audio Barlow Twins: Self-Supervised Audio Representation LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jonah Anton
H. Coppock
Pancham Shukla
Bjorn W. Schuller
BDLSSL
240
13
0
28 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training
Enhance the Visual Representation via Discrete Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2022
Xiaofeng Mao
YueFeng Chen
Ranjie Duan
Yao Zhu
Gege Qi
Shaokai Ye
Xiaodan Li
Rong Zhang
Hui Xue
212
43
0
16 Sep 2022
Exploring Target Representations for Masked Autoencoders
Exploring Target Representations for Masked AutoencodersInternational Conference on Learning Representations (ICLR), 2022
Xingbin Liu
Jinghao Zhou
Tao Kong
Xianming Lin
Rongrong Ji
479
58
0
08 Sep 2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
MimCo: Masked Image Modeling Pre-training with Contrastive TeacherACM Multimedia (ACM MM), 2022
Qiang-feng Zhou
Chaohui Yu
Haowen Luo
Zhibin Wang
Hao Li
VLM
264
28
0
07 Sep 2022
An Empirical Study of End-to-End Video-Language Transformers with Masked
  Visual Modeling
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual ModelingComputer Vision and Pattern Recognition (CVPR), 2022
Tsu-Jui Fu
Linjie Li
Zhe Gan
Kevin Qinghong Lin
William Yang Wang
Lijuan Wang
Zicheng Liu
VLM
566
82
0
04 Sep 2022
Masked Autoencoders Enable Efficient Knowledge Distillers
Masked Autoencoders Enable Efficient Knowledge DistillersComputer Vision and Pattern Recognition (CVPR), 2022
Yutong Bai
Zeyu Wang
Junfei Xiao
Chen Wei
Huiyu Wang
Alan Yuille
Yuyin Zhou
Cihang Xie
CLL
243
56
0
25 Aug 2022
MILAN: Masked Image Pretraining on Language Assisted Representation
MILAN: Masked Image Pretraining on Language Assisted Representation
Zejiang Hou
Fei Sun
Yen-kuang Chen
Yuan Xie
S. Kung
ViT
231
83
0
11 Aug 2022
Understanding Masked Image Modeling via Learning Occlusion Invariant
  Feature
Understanding Masked Image Modeling via Learning Occlusion Invariant FeatureComputer Vision and Pattern Recognition (CVPR), 2022
Xiangwen Kong
Xiangyu Zhang
SSL
169
64
0
08 Aug 2022
GPPF: A General Perception Pre-training Framework via Sparsely Activated
  Multi-Task Learning
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning
Benyuan Sun
Jinqiao Dai
Zihao Liang
Cong Liu
Yi Yang
Bo Bai
MoE
157
4
0
03 Aug 2022
Learning Prior Feature and Attention Enhanced Image Inpainting
Learning Prior Feature and Attention Enhanced Image InpaintingEuropean Conference on Computer Vision (ECCV), 2022
Chenjie Cao
Qiaole Dong
Yanwei Fu
DiffM
142
34
0
03 Aug 2022
SdAE: Self-distillated Masked Autoencoder
SdAE: Self-distillated Masked AutoencoderEuropean Conference on Computer Vision (ECCV), 2022
Yabo Chen
Yuchen Liu
Dongsheng Jiang
Xiaopeng Zhang
Wenrui Dai
H. Xiong
Qi Tian
ViT
180
85
0
31 Jul 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision
  and Beyond
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Chaoning Zhang
Chenshuang Zhang
Junha Song
John Seon Keun Yi
Kang Zhang
In So Kweon
SSL
173
93
0
30 Jul 2022
Transfer Learning for Segmentation Problems: Choose the Right Encoder
  and Skip the Decoder
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
Jonas Dippel
Matthias Lenga
Thomas Goerttler
Klaus Obermayer
Johannes Höhne
SSL
143
3
0
29 Jul 2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Contrastive Masked Autoencoders are Stronger Vision LearnersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhicheng Huang
Xiaojie Jin
Cheng Lu
Qibin Hou
Mingg-Ming Cheng
Dongmei Fu
Xiaohui Shen
Jiashi Feng
436
202
0
27 Jul 2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Bootstrapped Masked Autoencoders for Vision BERT PretrainingEuropean Conference on Computer Vision (ECCV), 2022
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
202
87
0
14 Jul 2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric
  Representations
Unsupervised Semantic Segmentation with Self-supervised Object-centric RepresentationsInternational Conference on Learning Representations (ICLR), 2022
Antonios Tragoudaras
Matthaeus Kleindessner
Yi Zhu
Francesco Locatello
Thomas Brox
235
57
0
11 Jul 2022
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap
  between Weak Supervision and Dense Prediction
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Wei Shen
Zelin Peng
Xuehui Wang
Huayu Wang
Jiazhong Cen
Dongsheng Jiang
Lingxi Xie
Yunbo Wang
Qi Tian
VLM
331
113
0
04 Jul 2022
No Reason for No Supervision: Improved Generalization in Supervised
  Models
No Reason for No Supervision: Improved Generalization in Supervised ModelsInternational Conference on Learning Representations (ICLR), 2022
Mert Bulent Sariyildiz
Yannis Kalantidis
Alahari Karteek
Diane Larlus
SSLOODLRM
171
35
0
30 Jun 2022
Teach me how to Interpolate a Myriad of Embeddings
Teach me how to Interpolate a Myriad of Embeddings
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
212
2
0
29 Jun 2022
Masked World Models for Visual Control
Masked World Models for Visual ControlConference on Robot Learning (CoRL), 2022
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
367
178
0
28 Jun 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
261
30
0
27 Jun 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A ReviewIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
390
288
0
27 Jun 2022
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
SemMAE: Semantic-Guided Masking for Learning Masked AutoencodersNeural Information Processing Systems (NeurIPS), 2022
Gang Li
Heliang Zheng
Daqing Liu
Chaoyue Wang
Fuchun Sun
Changwen Zheng
404
151
0
21 Jun 2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
OmniMAE: Single Model Masked Pretraining on Images and VideosComputer Vision and Pattern Recognition (CVPR), 2022
Rohit Girdhar
Alaaeldin El-Nouby
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
ViT
251
117
0
16 Jun 2022
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning
F. Saleh
Fuwen Tan
Adrian Bulat
Georgios Tzimiropoulos
Brais Martínez
SSL
235
1
0
16 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Masked Frequency Modeling for Self-Supervised Visual Pre-TrainingInternational Conference on Learning Representations (ICLR), 2022
Jiahao Xie
Wei Li
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
203
97
0
15 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
179
37
0
15 Jun 2022
Previous
123...10111213
Next