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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
Visual Attention Emerges from Recurrent Sparse Reconstruction
Visual Attention Emerges from Recurrent Sparse Reconstruction
Baifeng Shi
Ya-heng Song
Neel Joshi
Trevor Darrell
Xin Eric Wang
3DH
55
6
0
23 Apr 2022
Self-Supervised Video Object Segmentation via Cutout Prediction and
  Tagging
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
Jyoti Kini
Fahad Shahbaz Khan
Salman Khan
M. Shah
VOS
58
1
0
22 Apr 2022
Adversarial Contrastive Learning by Permuting Cluster Assignments
Adversarial Contrastive Learning by Permuting Cluster Assignments
Muntasir Wahed
Afrina Tabassum
Ismini Lourentzou
SSL
30
5
0
21 Apr 2022
BTranspose: Bottleneck Transformers for Human Pose Estimation with
  Self-Supervised Pre-Training
BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training
K. Balakrishnan
Devesh Upadhyay
ViT
31
2
0
21 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
76
15
0
20 Apr 2022
Hephaestus: A large scale multitask dataset towards InSAR understanding
Hephaestus: A large scale multitask dataset towards InSAR understanding
Nikolaos Ioannis Bountos
Ioannis Papoutsis
Dimitrios Michail
Andreas Karavias
P. Elias
I. Parcharidis
89
13
0
20 Apr 2022
Less than Few: Self-Shot Video Instance Segmentation
Less than Few: Self-Shot Video Instance Segmentation
Pengwan Yang
Yuki M. Asano
Pascal Mettes
Cees G. M. Snoek
SSL
84
2
0
19 Apr 2022
Active Learning Helps Pretrained Models Learn the Intended Task
Active Learning Helps Pretrained Models Learn the Intended Task
Alex Tamkin
Dat Nguyen
Salil Deshpande
Jesse Mu
Noah D. Goodman
81
39
0
18 Apr 2022
The Devil is in the Frequency: Geminated Gestalt Autoencoder for
  Self-Supervised Visual Pre-Training
The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training
Hao Liu
Xinghua Jiang
Xin Li
Antai Guo
Deqiang Jiang
Bo Ren
88
39
0
18 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External
  Data and Fine-Tuning Make a Difference
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
92
197
0
15 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
131
325
0
14 Apr 2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of
  Transformer-MLP Paradigm for Dense Prediction in Medical Volume
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Jianye Pang
Cheng Jiang
Yihao Chen
Jianbo Chang
M. Feng
Renzhi Wang
Jianhua Yao
ViTMedIm
55
11
0
14 Apr 2022
Self-supervised Vision Transformers for Joint SAR-optical Representation
  Learning
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning
Yi Wang
C. Albrecht
Xiaoxiang Zhu
ViT
114
52
0
11 Apr 2022
Focal Length and Object Pose Estimation via Render and Compare
Focal Length and Object Pose Estimation via Render and Compare
Georgy Ponimatkin
Yann Labbé
Bryan C. Russell
Mathieu Aubry
Josef Sivic
74
20
0
11 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning
  from Pixels
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
78
19
0
11 Apr 2022
Representation Learning by Detecting Incorrect Location Embeddings
Representation Learning by Detecting Incorrect Location Embeddings
Sepehr Sameni
Simon Jenni
Paolo Favaro
ViT
69
5
0
10 Apr 2022
Particle Video Revisited: Tracking Through Occlusions Using Point
  Trajectories
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
Adam W. Harley
Zhaoyuan Fang
Katerina Fragkiadaki
111
168
0
08 Apr 2022
Zero-Shot Category-Level Object Pose Estimation
Zero-Shot Category-Level Object Pose Estimation
Walter Goodwin
S. Vaze
Ioannis Havoutis
Ingmar Posner
ViT
82
58
0
07 Apr 2022
Unified Contrastive Learning in Image-Text-Label Space
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Bin Xiao
Ce Liu
Lu Yuan
Jianfeng Gao
VLMSSL
148
227
0
07 Apr 2022
Deep Visual Geo-localization Benchmark
Deep Visual Geo-localization Benchmark
Gabriele Berton
R. Mereu
Gabriele Trivigno
Carlo Masone
G. Csurka
Torsten Sattler
Barbara Caputo
ObjD
84
91
0
07 Apr 2022
Global Readiness of Language Technology for Healthcare: What would it
  Take to Combat the Next Pandemic?
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?
Ishani Mondal
Kabir Ahuja
Mohit Jain
Jacki O Neil
Kalika Bali
Monojit Choudhury
ELMLM&MA
66
4
0
06 Apr 2022
Text2LIVE: Text-Driven Layered Image and Video Editing
Text2LIVE: Text-Driven Layered Image and Video Editing
Omer Bar-Tal
Dolev Ofri-Amar
Rafail Fridman
Yoni Kasten
Tali Dekel
VGenDiffM
113
319
0
05 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
142
279
0
04 Apr 2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation
  Learning
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
Zhi Hou
Baosheng Yu
Chaoyue Wang
Yibing Zhan
Dacheng Tao
ViT
112
13
0
04 Apr 2022
Dynamic Focus-aware Positional Queries for Semantic Segmentation
Dynamic Focus-aware Positional Queries for Semantic Segmentation
Haoyu He
Jianfei Cai
Zizheng Pan
Jing Liu
Jing Zhang
Dacheng Tao
Bohan Zhuang
82
17
0
04 Apr 2022
Revisiting a kNN-based Image Classification System with High-capacity
  Storage
Revisiting a kNN-based Image Classification System with High-capacity Storage
K. Nakata
Youyang Ng
Daisuke Miyashita
A. Maki
Yu Lin
J. Deguchi
96
26
0
03 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
Wen Liu
ViT
108
94
0
03 Apr 2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single
  Image
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
Dejia Xu
Yi Ding
Peihao Wang
Zhiwen Fan
Humphrey Shi
Zhangyang Wang
106
190
0
02 Apr 2022
Mix-up Self-Supervised Learning for Contrast-agnostic Applications
Mix-up Self-Supervised Learning for Contrast-agnostic Applications
Yichen Zhang
Yifang Yin
Ying Zhang
Roger Zimmermann
SSL
53
4
0
02 Apr 2022
Learnable latent embeddings for joint behavioral and neural analysis
Learnable latent embeddings for joint behavioral and neural analysis
Steffen Schneider
Jin Hwa Lee
Mackenzie W. Mathis
126
231
0
01 Apr 2022
Simplicial Embeddings in Self-Supervised Learning and Downstream
  Classification
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie
Christos Tsirigotis
Max Schwarzer
Ankit Vani
Michael Noukhovitch
Kenji Kawaguchi
Rameswar Panda
SSL
54
18
0
01 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Tianlin Li
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
122
52
0
01 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Percy Liang
SSL
119
89
0
01 Apr 2022
Leverage Your Local and Global Representations: A New Self-Supervised
  Learning Strategy
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
Tong Zhang
Congpei Qiu
Wei Ke
Sabine Süsstrunk
Mathieu Salzmann
SSL
108
39
0
31 Mar 2022
Self-distillation Augmented Masked Autoencoders for Histopathological
  Image Classification
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification
Yang Luo
Zhineng Chen
Shengtian Zhou
Xieping Gao
77
1
0
31 Mar 2022
Weakly Supervised Patch Label Inference Networks for Efficient Pavement
  Distress Detection and Recognition in the Wild
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Sheng Huang
Wenhao Tang
Guixin Huang
Luwen Huangfu
Dan Yang
121
9
0
31 Mar 2022
Hybrid Handcrafted and Learnable Audio Representation for Analysis of
  Speech Under Cognitive and Physical Load
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load
Gasser Elbanna
A. Biryukov
Neil Scheidwasser
Lara Orlandic
Pablo Mainar
M. Kegler
P. Beckmann
Milos Cernak
48
13
0
30 Mar 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang D. Yoo
In So Kweon
117
57
0
30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang D. Yoo
In So Kweon
SSL
103
74
0
30 Mar 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
110
118
0
30 Mar 2022
A Style-aware Discriminator for Controllable Image Translation
A Style-aware Discriminator for Controllable Image Translation
Kunhee Kim
S. Park
Eunyeong Jeon
Tae-Hyeon Kim
Daijin Kim
92
24
0
29 Mar 2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Xiaotong Li
Yixiao Ge
Kun Yi
Zixuan Hu
Ying Shan
Ling-yu Duan
92
39
0
29 Mar 2022
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation
Xiaomiao Pan
Peike Li
Zongxin Yang
Huiling Zhou
Chang Zhou
Hongxia Yang
Jingren Zhou
Yi Yang
VOS
80
12
0
29 Mar 2022
Word Discovery in Visually Grounded, Self-Supervised Speech Models
Word Discovery in Visually Grounded, Self-Supervised Speech Models
Puyuan Peng
David Harwath
SSL
128
40
0
28 Mar 2022
CD-Net: Histopathology Representation Learning using Pyramidal
  Context-Detail Network
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network
S. Kapse
Srijan Das
Prateek Prasanna
60
5
0
28 Mar 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
60
43
0
28 Mar 2022
Large-scale Bilingual Language-Image Contrastive Learning
Large-scale Bilingual Language-Image Contrastive Learning
ByungSoo Ko
Geonmo Gu
VLM
112
14
0
28 Mar 2022
Core Risk Minimization using Salient ImageNet
Core Risk Minimization using Salient ImageNet
Sahil Singla
Mazda Moayeri
Soheil Feizi
88
14
0
28 Mar 2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou
Yichen Zhou
Chenyang Si
Weihao Yu
Teck Khim Ng
Shuicheng Yan
VLM
81
60
0
27 Mar 2022
CaCo: Both Positive and Negative Samples are Directly Learnable via
  Cooperative-adversarial Contrastive Learning
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning
Tianlin Li
Yuhang Huang
Dan Zeng
Guo-Jun Qi
SSL
54
18
0
27 Mar 2022
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