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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
CroCo v2: Improved Cross-view Completion Pre-training for Stereo
  Matching and Optical Flow
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow
Philippe Weinzaepfel
Thomas Lucas
Vincent Leroy
Yohann Cabon
Vaibhav Arora
Romain Brégier
G. Csurka
L. Antsfeld
Boris Chidlovskii
Jérôme Revaud
ViT
133
97
0
18 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts
Invariant Learning via Diffusion Dreamed Distribution Shifts
Priyatham Kattakinda
Alexander Levine
Soheil Feizi
DiffM
62
10
0
18 Nov 2022
Explanation on Pretraining Bias of Finetuned Vision Transformer
Explanation on Pretraining Bias of Finetuned Vision Transformer
Bumjin Park
Jaesik Choi
ViT
70
1
0
18 Nov 2022
Contrastive Losses Are Natural Criteria for Unsupervised Video
  Summarization
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
Zongshang Pang
Yuta Nakashima
Mayu Otani
Hajime Nagahara
45
6
0
18 Nov 2022
Vision Transformers in Medical Imaging: A Review
Vision Transformers in Medical Imaging: A Review
Emerald U. Henry
Onyeka Emebob
C. Omonhinmin
ViTMedIm
88
36
0
18 Nov 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
83
16
0
18 Nov 2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-Supervised Visual Representation Learning via Residual Momentum
T. Pham
Axi Niu
Zhang Kang
Sultan Rizky Hikmawan Madjid
Jiajing Hong
Daehyeok Kim
Joshua Tian Jin Tee
Chang D. Yoo
SSL
89
6
0
17 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
94
4
0
17 Nov 2022
CAE v2: Context Autoencoder with CLIP Target
CAE v2: Context Autoencoder with CLIP Target
Xinyu Zhang
Jiahui Chen
Junkun Yuan
Qiang Chen
Jian Wang
...
Jimin Pi
Kun Yao
Junyu Han
Errui Ding
Jingdong Wang
VLMCLIP
109
24
0
17 Nov 2022
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video
  UniFormer
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
Kunchang Li
Yali Wang
Yinan He
Yizhuo Li
Yi Wang
Limin Wang
Yu Qiao
ViT
122
113
0
17 Nov 2022
How to Fine-Tune Vision Models with SGD
How to Fine-Tune Vision Models with SGD
Ananya Kumar
Ruoqi Shen
Sébastien Bubeck
Suriya Gunasekar
VLM
127
31
0
17 Nov 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer
Alexander Bartler
Bin Yang
SSeg
61
21
0
16 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
90
170
0
16 Nov 2022
Label-Efficient Object Detection via Region Proposal Network
  Pre-Training
Label-Efficient Object Detection via Region Proposal Network Pre-Training
Nanqing Dong
Linus Ericsson
Yongxin Yang
A. Leonardis
Jingyu Sun
ObjD
89
5
0
16 Nov 2022
Stare at What You See: Masked Image Modeling without Reconstruction
Stare at What You See: Masked Image Modeling without Reconstruction
Hongwei Xue
Peng Gao
Hongyang Li
Yu Qiao
Hao Sun
Houqiang Li
Jiebo Luo
68
32
0
16 Nov 2022
Masked Reconstruction Contrastive Learning with Information Bottleneck
  Principle
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle
Ziwen Liu
Bonan li
Congying Han
Tiande Guo
Xuecheng Nie
SSL
64
2
0
15 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
104
59
0
15 Nov 2022
DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT
  Similarity
DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity
Yeying Jin
W. Ye
Wenhan Yang
Yuan. Yuan
R. Tan
DiffM
148
28
0
15 Nov 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at
  Scale
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLMCLIP
249
729
0
14 Nov 2022
Language models are good pathologists: using attention-based sequence
  reduction and text-pretrained transformers for efficient WSI classification
Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification
Juan Pisula
Katarzyna Bozek
VLMMedIm
83
3
0
14 Nov 2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang
Nassim Ait Ali Braham
Zhitong Xiong
Chenying Liu
C. Albrecht
Xiao Xiang Zhu
103
73
0
13 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based
  Out-of-Distribution Detection
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
Silvio Galesso
Max Argus
Thomas Brox
UQCV
96
11
0
12 Nov 2022
MARLIN: Masked Autoencoder for facial video Representation LearnINg
MARLIN: Masked Autoencoder for facial video Representation LearnINg
Zhixi Cai
Shreya Ghosh
Kalin Stefanov
Abhinav Dhall
Jianfei Cai
Hamid Rezatofighi
Reza Haffari
Munawar Hayat
ViTCVBM
114
62
0
12 Nov 2022
Masked Contrastive Representation Learning
Masked Contrastive Representation Learning
Yuan Yao
Nandakishor Desai
M. Palaniswami
SSL
146
8
0
11 Nov 2022
Contrastive Self-Supervised Learning for Skeleton Representations
Contrastive Self-Supervised Learning for Skeleton Representations
N. Lingg
Miguel Sarabia
Luca Zappella
B. Theobald
SSL
47
0
0
10 Nov 2022
Pushing the limits of self-supervised speaker verification using
  regularized distillation framework
Pushing the limits of self-supervised speaker verification using regularized distillation framework
Yafeng Chen
Siqi Zheng
Haibo Wang
Luyao Cheng
Qian Chen
75
27
0
08 Nov 2022
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual
  Learning and Pseudo-Label Thresholding
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding
Dominik Filipiak
Andrzej Zapala
Piotr Tempczyk
A. Fensel
Marek Cygan
ISeg
104
11
0
07 Nov 2022
Generalizable Re-Identification from Videos with Cycle Association
Generalizable Re-Identification from Videos with Cycle Association
Zhongdao Wang
Zhaopeng Dou
Jingwei Zhang
Liang Zhen
Yifan Sun
Yali Li
Shengjin Wang
BDL
66
2
0
07 Nov 2022
Contrastive Classification and Representation Learning with
  Probabilistic Interpretation
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Rahaf Aljundi
Yash J. Patel
Milan Šulc
Daniel Olmeda
N. Chumerin
SSL
56
7
0
07 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
83
3
0
07 Nov 2022
MogaNet: Multi-order Gated Aggregation Network
MogaNet: Multi-order Gated Aggregation Network
Siyuan Li
Zedong Wang
Zicheng Liu
Cheng Tan
Haitao Lin
Di Wu
Zhiyuan Chen
Jiangbin Zheng
Stan Z. Li
107
65
0
07 Nov 2022
Unsupervised Visual Representation Learning via Mutual Information
  Regularized Assignment
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
Dong Lee
Sung-Ik Choi
Hyunwoo J. Kim
Sae-Young Chung
SSL
97
7
0
04 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems
  with uncertainty quantification
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
Ruoxi Jiang
Rebecca Willett
61
7
0
03 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
114
37
0
02 Nov 2022
Self-supervised Character-to-Character Distillation for Text Recognition
Self-supervised Character-to-Character Distillation for Text Recognition
Tongkun Guan
Wei Shen
Xuehang Yang
Qi Feng
Zekun Jiang
Xiaokang Yang
147
25
0
01 Nov 2022
Trade-off Between Efficiency and Consistency for Removal-based
  Explanations
Trade-off Between Efficiency and Consistency for Removal-based Explanations
Yifan Zhang
Haowei He
Zhiyuan Tan
Yang Yuan
FAtt
97
4
0
31 Oct 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
104
59
0
31 Oct 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
114
31
0
30 Oct 2022
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
Veysel Kocaman
O. M. Shir
Thomas Bäck
A. Belbachir
63
1
0
30 Oct 2022
Elastic Weight Consolidation Improves the Robustness of Self-Supervised
  Learning Methods under Transfer
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer
Andrius Ovsianas
Jason Ramapuram
Dan Busbridge
Eeshan Gunesh Dhekane
Russ Webb
29
4
0
28 Oct 2022
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule
  Diagnosis
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Kenny Erleben
M. B. Nielsen
S. Darkner
104
1
0
28 Oct 2022
A comprehensive study on self-supervised distillation for speaker
  representation learning
A comprehensive study on self-supervised distillation for speaker representation learning
Zhengyang Chen
Yao Qian
Bing Han
Y. Qian
Michael Zeng
SSL
129
17
0
28 Oct 2022
FUSSL: Fuzzy Uncertain Self Supervised Learning
FUSSL: Fuzzy Uncertain Self Supervised Learning
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
68
6
0
28 Oct 2022
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Edith Tretschk
Navami Kairanda
R. MallikarjunB.
Rishabh Dabral
Adam Kortylewski
Bernhard Egger
Marc Habermann
Pascal Fua
Christian Theobalt
Vladislav Golyanik
3DH
120
36
0
27 Oct 2022
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse
  Positive Pairs
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs
Ruijie Tao
Kong Aik Lee
Rohan Kumar Das
Ville Hautamaki
Haizhou Li
SSL
90
12
0
27 Oct 2022
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models
Chaofan Ma
Yu-Hao Yang
Yanfeng Wang
Ya Zhang
Weidi Xie
VLM
74
48
0
27 Oct 2022
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo
  labeling for Optical Flow Estimation
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation
Zhiqi Zhang
Nitin Bansal
Changjiang Cai
Pan Ji
Qingan Yan
Xiangyu Xu
Yi Tian Xu
102
5
0
25 Oct 2022
From colouring-in to pointillism: revisiting semantic segmentation
  supervision
From colouring-in to pointillism: revisiting semantic segmentation supervision
Rodrigo Benenson
V. Ferrari
VLM
74
21
0
25 Oct 2022
Learning Explicit Object-Centric Representations with Vision
  Transformers
Learning Explicit Object-Centric Representations with Vision Transformers
Oscar Vikström
Alexander Ilin
OCLViT
79
4
0
25 Oct 2022
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
Qian Wang
T. Breckon
55
3
0
25 Oct 2022
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