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Emerging Properties in Self-Supervised Vision Transformers

Emerging Properties in Self-Supervised Vision Transformers

29 April 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
ArXivPDFHTML

Papers citing "Emerging Properties in Self-Supervised Vision Transformers"

50 / 1,249 papers shown
Title
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
27
55
0
15 Jun 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers
  trained with DINO
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO
Javier Rando
Nasib Naimi
Thomas Baumann
Max Mathys
AAML
20
5
0
14 Jun 2022
Transformers are Meta-Reinforcement Learners
Transformers are Meta-Reinforcement Learners
L. Melo
OffRL
41
50
0
14 Jun 2022
Multimodal Learning with Transformers: A Survey
Multimodal Learning with Transformers: A Survey
P. Xu
Xiatian Zhu
David A. Clifton
ViT
60
527
0
13 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
41
55
0
13 Jun 2022
Deep Learning Models for Automated Classification of Dog Emotional
  States from Facial Expressions
Deep Learning Models for Automated Classification of Dog Emotional States from Facial Expressions
Tali Boneh-Shitrit
Shirzad Amir
A. Bremhorst
D. Mills
S. Riemer
Dror Fried
Anna Zamansky
17
9
0
11 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
27
31
0
10 Jun 2022
Masked Autoencoders are Robust Data Augmentors
Masked Autoencoders are Robust Data Augmentors
Haohang Xu
Shuangrui Ding
Xiaopeng Zhang
H. Xiong
35
27
0
10 Jun 2022
Extreme Masking for Learning Instance and Distributed Visual
  Representations
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu
Zihang Lai
Xiao Sun
Stephen Lin
32
22
0
09 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
21
14
0
06 Jun 2022
EfficientFormer: Vision Transformers at MobileNet Speed
EfficientFormer: Vision Transformers at MobileNet Speed
Yanyu Li
Geng Yuan
Yang Wen
Eric Hu
Georgios Evangelidis
Sergey Tulyakov
Yanzhi Wang
Jian Ren
ViT
23
347
0
02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
32
37
0
02 Jun 2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and
  Applications
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
Fei Wu
Qingzhong Wang
Jian Bian
Haoyi Xiong
Ning Ding
Feixiang Lu
Junqing Cheng
Dejing Dou
AI4TS
24
52
0
02 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
47
36
0
01 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
Junlin Han
L. Petersson
Hongdong Li
Ian Reid
31
9
0
31 May 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
183
49
0
30 May 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
29
13
0
30 May 2022
Self-Supervised Pre-training of Vision Transformers for Dense Prediction
  Tasks
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks
Jaonary Rabarisoa
Velentin Belissen
Florian Chabot
Q. C. Pham
VLM
ViT
SSL
MDE
23
2
0
30 May 2022
GMML is All you Need
GMML is All you Need
Sara Atito
Muhammad Awais
J. Kittler
ViT
VLM
46
18
0
30 May 2022
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
Xiaosong Zhang
Yunjie Tian
Wei Huang
QiXiang Ye
Qi Dai
Lingxi Xie
Qi Tian
64
26
0
30 May 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing
  Mechanisms in Sequence Learning
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Aniket Didolkar
Kshitij Gupta
Anirudh Goyal
Nitesh B. Gundavarapu
Alex Lamb
Nan Rosemary Ke
Yoshua Bengio
AI4CE
115
17
0
30 May 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Feng Liang
Yangguang Li
Diana Marculescu
SSL
TPM
ViT
51
22
0
28 May 2022
A Closer Look at Self-Supervised Lightweight Vision Transformers
A Closer Look at Self-Supervised Lightweight Vision Transformers
Shaoru Wang
Jin Gao
Zeming Li
Jian Sun
Weiming Hu
ViT
67
41
0
28 May 2022
Object-wise Masked Autoencoders for Fast Pre-training
Object-wise Masked Autoencoders for Fast Pre-training
Jiantao Wu
Shentong Mo
ViT
OCL
22
15
0
28 May 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
48
114
0
27 May 2022
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Siyuan Li
Di Wu
Fang Wu
Lei Shang
Stan.Z.Li
32
48
0
27 May 2022
Semantic-aware Dense Representation Learning for Remote Sensing Image
  Change Detection
Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen
Wenyuan Li
Songhang Chen
Zhenwei Shi
25
38
0
27 May 2022
Green Hierarchical Vision Transformer for Masked Image Modeling
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
29
68
0
26 May 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
33
25
0
23 May 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
131
349
0
21 May 2022
Self-supervised 3D anatomy segmentation using self-distilled masked
  image transformer (SMIT)
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
Jue Jiang
N. Tyagi
K. Tringale
C. Crane
Harini Veeraraghavan
MedIm
36
34
0
20 May 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with
  Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
47
36
0
20 May 2022
Masked Image Modeling with Denoising Contrast
Masked Image Modeling with Denoising Contrast
Kun Yi
Yixiao Ge
Xiaotong Li
Shusheng Yang
Dian Li
Jianping Wu
Ying Shan
Xiaohu Qie
VLM
30
51
0
19 May 2022
K-textures, a self-supervised hard clustering deep learning algorithm
  for satellite image segmentation
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
F. Wagner
Ricardo Dalagnol
Alber H. Sánchez
Mayumi C. M. Hirye
Samuel Favrichon
Jake H. Lee
S. Mauceri
Yan Yang
Sassan Saatchi
18
12
0
18 May 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
28
159
0
16 May 2022
Toward a Geometrical Understanding of Self-supervised Contrastive
  Learning
Toward a Geometrical Understanding of Self-supervised Contrastive Learning
Romain Cosentino
Anirvan M. Sengupta
Salman Avestimehr
Mahdi Soltanolkotabi
Antonio Ortega
Ted Willke
Mariano Tepper
SSL
45
17
0
13 May 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised
  Learning
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen
Yuanzhi Li
SSL
27
34
0
12 May 2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
SSL
14
12
0
11 May 2022
Learning to Answer Visual Questions from Web Videos
Learning to Answer Visual Questions from Web Videos
Antoine Yang
Antoine Miech
Josef Sivic
Ivan Laptev
Cordelia Schmid
ViT
34
33
0
10 May 2022
ConvMAE: Masked Convolution Meets Masked Autoencoders
ConvMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao
Teli Ma
Hongsheng Li
Ziyi Lin
Jifeng Dai
Yu Qiao
ViT
19
121
0
08 May 2022
Quantification of Robotic Surgeries with Vision-Based Deep Learning
Quantification of Robotic Surgeries with Vision-Based Deep Learning
Dani Kiyasseh
Runzhuo Ma
Taseen F. Haque
J. Nguyen
C. Wagner
Anima Anandkumar
A. Hung
MedIm
19
3
0
06 May 2022
Self-Supervised Learning for Invariant Representations from
  Multi-Spectral and SAR Images
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images
P. Jain
Bianca Schoen-Phelan
R. Ross
27
32
0
04 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep
  Learning
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu
Sook Yoon
A. Fuentes
D. Park
VLM
24
397
0
03 May 2022
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo
  Languages
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
Felix Wu
Kwangyoun Kim
Shinji Watanabe
Kyu Jeong Han
Ryan T. McDonald
Kilian Q. Weinberger
Yoav Artzi
SyDa
45
37
0
02 May 2022
Dynamic Curriculum Learning for Great Ape Detection in the Wild
Dynamic Curriculum Learning for Great Ape Detection in the Wild
Xinyu Yang
T. Burghardt
Majid Mirmehdi
27
14
0
30 Apr 2022
Depth Estimation with Simplified Transformer
Depth Estimation with Simplified Transformer
John Yang
Le An
Anurag Dixit
Jinkyu Koo
Su Inn Park
MDE
28
21
0
28 Apr 2022
MILES: Visual BERT Pre-training with Injected Language Semantics for
  Video-text Retrieval
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval
Yuying Ge
Yixiao Ge
Xihui Liu
Alex Jinpeng Wang
Jianping Wu
Ying Shan
Xiaohu Qie
Ping Luo
VLM
18
43
0
26 Apr 2022
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
Taein Kwon
Bugra Tekin
Siyu Tang
Marc Pollefeys
33
13
0
26 Apr 2022
RelViT: Concept-guided Vision Transformer for Visual Relational
  Reasoning
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Xiaojian Ma
Weili Nie
Zhiding Yu
Huaizu Jiang
Chaowei Xiao
Yuke Zhu
Song-Chun Zhu
Anima Anandkumar
ViT
LRM
27
19
0
24 Apr 2022
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised
  Neurological Pretraining
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
Di Wu
Siyuan Li
Jie Yang
Mohamad Sawan
SSL
36
14
0
20 Apr 2022
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