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Emerging Properties in Self-Supervised Vision Transformers
v1v2 (latest)

Emerging Properties in Self-Supervised Vision Transformers

29 April 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
ArXiv (abs)PDFHTML

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

50 / 4,175 papers shown
Title
Unsupervised Semantic Segmentation with Self-supervised Object-centric
  Representations
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk
Matthaeus Kleindessner
Yi Zhu
Francesco Locatello
Thomas Brox
130
53
0
11 Jul 2022
Consistency is the key to further mitigating catastrophic forgetting in
  continual learning
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
63
17
0
11 Jul 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
92
16
0
11 Jul 2022
Facilitated machine learning for image-based fruit quality assessment
Facilitated machine learning for image-based fruit quality assessment
Manuel Knott
Fernando Perez-Cruz
T. Defraeye
37
51
0
10 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and
  Semantic Segmentation
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
Ashraful Islam
Bengt Lundell
H. Sawhney
Sudipta N. Sinha
Peter Morales
Richard J. Radke
SSL
87
11
0
10 Jul 2022
Radiomics-Guided Global-Local Transformer for Weakly Supervised
  Pathology Localization in Chest X-Rays
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays
Yan Han
G. Holste
Ying Ding
Ahmed H. Tewfik
Yifan Peng
Zhangyang Wang
LM&MAViT
124
16
0
10 Jul 2022
Training Transformers Together
Training Transformers Together
Alexander Borzunov
Max Ryabinin
Tim Dettmers
Quentin Lhoest
Lucile Saulnier
Michael Diskin
Yacine Jernite
Thomas Wolf
ViT
63
10
0
07 Jul 2022
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D
  Part Discovery
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery
Chunfeng Yao
Wei-Chih Hung
Yuanzhen Li
Michael Rubinstein
Ming-Hsuan Yang
Varun Jampani
3DV
111
51
0
07 Jul 2022
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for
  Self-Supervised Skeleton-Based Action Recognition
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
Zhan Chen
Hong Liu
Tianyu Guo
Zhengyang Chen
Pinhao Song
Haoling Tang
SSL
78
20
0
07 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
70
18
0
07 Jul 2022
Not All Models Are Equal: Predicting Model Transferability in a
  Self-challenging Fisher Space
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
Wenqi Shao
Xun Zhao
Yixiao Ge
Zhaoyang Zhang
Lei Yang
Xiaogang Wang
Ying Shan
Ping Luo
81
26
0
07 Jul 2022
Segmenting Moving Objects via an Object-Centric Layered Representation
Segmenting Moving Objects via an Object-Centric Layered Representation
Jun Xie
Weidi Xie
Andrew Zisserman
VOSOCL
100
49
0
05 Jul 2022
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge
  Transfer
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
Su He
Taian Guo
Tao Dai
Ruizhi Qiao
Bo Ren
Shutao Xia
VLM
147
50
0
05 Jul 2022
Dynamic Contrastive Distillation for Image-Text Retrieval
Dynamic Contrastive Distillation for Image-Text Retrieval
Jun Rao
Liang Ding
Shuhan Qi
Meng Fang
Yang Liu
Liqiong Shen
Dacheng Tao
VLM
112
33
0
04 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 Prediction
Wei Shen
Zelin Peng
Xuehui Wang
Huayu Wang
Jiazhong Cen
Dongsheng Jiang
Lingxi Xie
Xiaokang Yang
Qi Tian
VLM
114
84
0
04 Jul 2022
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point
  Clouds
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Georg Hess
Johan Jaxing
Elias Svensson
David Hagerman
Christoffer Petersson
Lennart Svensson
3DPCViT
115
36
0
01 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
129
46
0
01 Jul 2022
Visual Pre-training for Navigation: What Can We Learn from Noise?
Visual Pre-training for Navigation: What Can We Learn from Noise?
Yanwei Wang
Ching-Yun Ko
Pulkit Agrawal
SSL
83
7
0
30 Jun 2022
No Reason for No Supervision: Improved Generalization in Supervised
  Models
No Reason for No Supervision: Improved Generalization in Supervised Models
Mert Bulent Sariyildiz
Yannis Kalantidis
Alahari Karteek
Diane Larlus
SSLOODLRM
87
29
0
30 Jun 2022
Deep Reinforcement Learning with Swin Transformers
Deep Reinforcement Learning with Swin Transformers
Li Meng
Morten Goodwin
Anis Yazidi
P. Engelstad
ViT
97
2
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
84
2
0
29 Jun 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
177
149
0
28 Jun 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
126
57
0
28 Jun 2022
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule
  Diagnosis
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Oswin Krause
Kenny Erleben
M. B. Nielsen
S. Darkner
MedIm
77
3
0
27 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
115
24
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
159
228
0
27 Jun 2022
Vision Transformer for Contrastive Clustering
Vision Transformer for Contrastive Clustering
Hua-Bao Ling
Bo Zhu
Dong Huang
Dingfan Chen
Changdong Wang
Jianhuang Lai
ViT
35
3
0
26 Jun 2022
Exploiting Transformation Invariance and Equivariance for
  Self-supervised Sound Localisation
Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisation
Jinxian Liu
Chen Ju
Weidi Xie
Ya Zhang
68
39
0
26 Jun 2022
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
Arjun Majumdar
Gunjan Aggarwal
Bhavika Devnani
Judy Hoffman
Dhruv Batra
LM&Ro
213
163
0
24 Jun 2022
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
Patrick Feeney
Sarah Schneider
Panagiotis Lymperopoulos
Liping Liu
matthias. scheutz
Michael C. Hughes Dept. of Computer Science
72
6
0
23 Jun 2022
ProtoCLIP: Prototypical Contrastive Language Image Pretraining
ProtoCLIP: Prototypical Contrastive Language Image Pretraining
Delong Chen
Zhao Wu
Fan Liu
Zaiquan Yang
Huaxi Huang
Ying Tan
Erjin Zhou
VLMCLIP
97
28
0
22 Jun 2022
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World
  Semantic Scene Understanding
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
Hermann Blum
M. Müller
Abel Gawel
Roland Siegwart
Cesar Cadena
LM&Ro
74
4
0
21 Jun 2022
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
Gang Li
Heliang Zheng
Daqing Liu
Chaoyue Wang
Fuchun Sun
Changwen Zheng
119
130
0
21 Jun 2022
Visualizing and Understanding Contrastive Learning
Visualizing and Understanding Contrastive Learning
Fawaz Sammani
Boris Joukovsky
Nikos Deligiannis
SSLFAtt
81
9
0
20 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
66
70
0
19 Jun 2022
EATFormer: Improving Vision Transformer Inspired by Evolutionary
  Algorithm
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Jiangning Zhang
Xiangtai Li
Yabiao Wang
Chengjie Wang
Yibo Yang
Yong Liu
Dacheng Tao
ViT
121
35
0
19 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition
Model-Agnostic Few-Shot Open-Set Recognition
Malik Boudiaf
Etienne Bennequin
Myriam Tami
C´eline Hudelot
Antoine Toubhans
Pablo Piantanida
Ismail Ben Ayed
BDL
107
1
0
18 Jun 2022
Replacing Labeled Real-image Datasets with Auto-generated Contours
Replacing Labeled Real-image Datasets with Auto-generated Contours
Hirokatsu Kataoka
Ryo Hayamizu
Ryosuke Yamada
Kodai Nakashima
Sora Takashima
Xinyu Zhang
Edgar Josafat Martinez-Noriega
Nakamasa Inoue
Rio Yokota
53
26
0
18 Jun 2022
SimA: Simple Softmax-free Attention for Vision Transformers
SimA: Simple Softmax-free Attention for Vision Transformers
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
92
26
0
17 Jun 2022
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized
  Images
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
Jiyeon Han
Hwanil Choi
Yunjey Choi
Jae Hyun Kim
Jung-Woo Ha
Jaesik Choi
EGVM
112
33
0
17 Jun 2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
OmniMAE: Single Model Masked Pretraining on Images and Videos
Rohit Girdhar
Alaaeldin El-Nouby
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
ViT
114
99
0
16 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
138
21
1
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
99
1
0
16 Jun 2022
Adapting Self-Supervised Vision Transformers by Probing
  Attention-Conditioned Masking Consistency
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Viraj Prabhu
Sriram Yenamandra
Aaditya K. Singh
Judy Hoffman
64
15
0
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
121
23
0
16 Jun 2022
Patch-level Representation Learning for Self-supervised Vision
  Transformers
Patch-level Representation Learning for Self-supervised Vision Transformers
Sukmin Yun
Hankook Lee
Jaehyung Kim
Jinwoo Shin
ViT
120
68
0
16 Jun 2022
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie
Wei Li
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
115
74
0
15 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
114
35
0
15 Jun 2022
Write and Paint: Generative Vision-Language Models are Unified Modal
  Learners
Write and Paint: Generative Vision-Language Models are Unified Modal Learners
Shizhe Diao
Wangchunshu Zhou
Xinsong Zhang
Jiawei Wang
MLLMAI4CE
95
17
0
15 Jun 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
A Simple Data Mixing Prior for Improving Self-Supervised Learning
Sucheng Ren
Huiyu Wang
Zhengqi Gao
Shengfeng He
Alan Yuille
Yuyin Zhou
Cihang Xie
51
35
0
15 Jun 2022
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