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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
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked
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The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation
Lukas Christ
Shahin Amiriparian
Alice Baird
Alexander Kathan
Niklas Muller
...
Eva-Maria Messner
Andreas Konig
Alan S. Cowen
Min Zhang
Björn W. Schuller
117
30
0
05 May 2023
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
Ajian Liu
Zichang Tan
Zitong Yu
Chenxu Zhao
Jun Wan
Yanyan Liang
Zhen Lei
Du Zhang
Stan Z. Li
G. Guo
CVBM
79
44
0
05 May 2023
Semantic Segmentation using Vision Transformers: A survey
Semantic Segmentation using Vision Transformers: A survey
Hans Thisanke
Chamli Deshan
K. Chamith
Sachith Seneviratne
Rajith Vidanaarachchi
Damayanthi Herath
ViT
91
159
0
05 May 2023
AttentionViz: A Global View of Transformer Attention
AttentionViz: A Global View of Transformer Attention
Catherine Yeh
Yida Chen
Aoyu Wu
Cynthia Chen
Fernanda Viégas
Martin Wattenberg
ViT
79
55
0
04 May 2023
ZipIt! Merging Models from Different Tasks without Training
ZipIt! Merging Models from Different Tasks without Training
George Stoica
Daniel Bolya
J. Bjorner
Pratik Ramesh
Taylor N. Hearn
Judy Hoffman
VLMMoMe
141
125
0
04 May 2023
SimSC: A Simple Framework for Semantic Correspondence with Temperature
  Learning
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
Matthias Lalisse
Kai Han
Xingchen Wan
P. Smolensky
100
5
0
03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to
  Descendant Models
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
Qiufeng Wang
Xu Yang
Shuxia Lin
Jing Wang
Xin Geng
80
13
0
03 May 2023
Great Models Think Alike: Improving Model Reliability via Inter-Model
  Latent Agreement
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement
Ailin Deng
Miao Xiong
Bryan Hooi
205
7
0
02 May 2023
SelfDocSeg: A Self-Supervised vision-based Approach towards Document
  Segmentation
SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation
Subhajit Maity
Sanket Biswas
Siladittya Manna
Ayan Banerjee
Josep Lladós
Saumik Bhattacharya
Umapada Pal
85
5
0
01 May 2023
What Do Self-Supervised Vision Transformers Learn?
What Do Self-Supervised Vision Transformers Learn?
Namuk Park
Wonjae Kim
Byeongho Heo
Taekyung Kim
Sangdoo Yun
SSL
176
81
1
01 May 2023
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Yilei Hua
Wenhan Wu
Ce Zheng
Aidong Lu
Mengyuan Liu
Chong Chen
Shiqian Wu
SSL
166
39
0
01 May 2023
Detecting Novelties with Empty Classes
Detecting Novelties with Empty Classes
Svenja Uhlemeyer
Julian Lienen
Eyke Hüllermeier
Hanno Gottschalk
55
1
0
30 Apr 2023
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric
  Voxelization
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
Yanpeng Zhao
Siyu Gao
Yunbo Wang
Xiaokang Yang
OCL
88
1
0
30 Apr 2023
Cross-Shaped Windows Transformer with Self-supervised Pretraining for
  Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Yuheng Li
Jacob F. Wynne
Jing Wang
Richard L. J. Qiu
J. Roper
...
A. Jani
Tian Liu
P. Patel
H. Mao
Xiaofeng Yang
OODViTMedIm
89
11
0
30 Apr 2023
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling
Fei Xue
Ignas Budvytis
R. Cipolla
99
14
0
28 Apr 2023
DIAMANT: Dual Image-Attention Map Encoders For Medical Image
  Segmentation
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation
Yousef Yeganeh
Azade Farshad
Peter Weinberger
Seyed-Ahmad Ahmadi
Ehsan Adeli
Nassir Navab
ViTMedIm
56
0
0
28 Apr 2023
Zero-shot Unsupervised Transfer Instance Segmentation
Zero-shot Unsupervised Transfer Instance Segmentation
Gyungin Shin
Samuel Albanie
Weidi Xie
ISegVLM
145
5
0
27 Apr 2023
Incremental Generalized Category Discovery
Incremental Generalized Category Discovery
Bingchen Zhao
Oisin Mac Aodha
CLL
117
12
0
27 Apr 2023
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group
  Activity Recognition
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
N. V. R. Chappa
Pha Nguyen
Alec Nelson
Han-Seok Seo
Xin Li
P. Dobbs
Khoa Luu
ViT
85
8
0
27 Apr 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in
  Self-supervised Learning
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
Casey Meehan
Florian Bordes
Pascal Vincent
Kamalika Chaudhuri
Chuan Guo
75
18
0
26 Apr 2023
Controllable Image Generation via Collage Representations
Controllable Image Generation via Collage Representations
Arantxa Casanova
Marlene Careil
Adriana Romero Soriano
Christopher Pal
Jakob Verbeek
M. Drozdzal
DiffM
76
6
0
26 Apr 2023
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
Jiakai Sun
Zhanjie Zhang
Jiafu Chen
Guangyuan Li
Boyan Ji
Lei Zhao
Wei Xing
Huaizhong Lin
73
21
0
26 Apr 2023
Objectives Matter: Understanding the Impact of Self-Supervised
  Objectives on Vision Transformer Representations
Objectives Matter: Understanding the Impact of Self-Supervised Objectives on Vision Transformer Representations
Shashank Shekhar
Florian Bordes
Pascal Vincent
Ari S. Morcos
83
10
0
25 Apr 2023
DuETT: Dual Event Time Transformer for Electronic Health Records
DuETT: Dual Event Time Transformer for Electronic Health Records
Alex Labach
Aslesha Pokhrel
Xiao Shi Huang
S. Zuberi
S. Yi
M. Volkovs
T. Poutanen
Rahul G. Krishnan
AI4TSMedIm
64
3
0
25 Apr 2023
Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders
Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders
Heng Pan
Chenyang Liu
Wenxiao Wang
Liejie Yuan
Hongfa Wang
Zhifeng Li
Wen Liu
VLM
64
3
0
25 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards
  Boosted Few-Shot Parameter-Efficient Tuning
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Zhongzhi Yu
Shang Wu
Y. Fu
Shunyao Zhang
Yingyan Lin
86
6
0
25 Apr 2023
Segment Anything in 3D with Radiance Fields
Segment Anything in 3D with Radiance Fields
Jiazhong Cen
Jiemin Fang
Zanwei Zhou
Chen Yang
Lingxi Xie
Xiaopeng Zhang
Wei Shen
Qi Tian
140
44
0
24 Apr 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDaFedMLSSL
161
284
0
24 Apr 2023
You Never Get a Second Chance To Make a Good First Impression: Seeding
  Active Learning for 3D Semantic Segmentation
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
Nermin Samet
Oriane Siméoni
Gilles Puy
Georgy Ponimatkin
Renaud Marlet
Vincent Lepetit
3DPC
132
4
0
23 Apr 2023
No Free Lunch in Self Supervised Representation Learning
No Free Lunch in Self Supervised Representation Learning
Ihab Bendidi
Adrien Bardes
E. Cohen
Alexis Lamiable
Guillaume Bollot
Auguste Genovesio
OOD
88
11
0
23 Apr 2023
Self-supervised Learning by View Synthesis
Self-supervised Learning by View Synthesis
Shaoteng Liu
Xiangyu Zhang
T. Hu
Jiaya Jia
3DVViT
115
1
0
22 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
90
1
0
21 Apr 2023
Advances in Deep Concealed Scene Understanding
Advances in Deep Concealed Scene Understanding
Deng-Ping Fan
Ge-Peng Ji
Peng Xu
Ming-Ming Cheng
Daniel Gehrig
Luc Van Gool
103
74
0
21 Apr 2023
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image
  Segmentation
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang
Jing Wang
Chen Chen
Jianbo Jiao
Yuanxiu Cai
Shanshan Song
Jiangyun Li
MedIm
103
19
0
21 Apr 2023
Point-supervised Single-cell Segmentation via Collaborative Knowledge
  Sharing
Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing
Ji Yu
79
5
0
20 Apr 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
111
18
0
20 Apr 2023
Not Only Generative Art: Stable Diffusion for Content-Style
  Disentanglement in Art Analysis
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
Yankun Wu
Yuta Nakashima
Noa Garcia
CoGeDiffM
69
27
0
20 Apr 2023
Visual DNA: Representing and Comparing Images using Distributions of
  Neuron Activations
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Benjamin Ramtoula
Matthew Gadd
Paul Newman
D. Martini
91
10
0
20 Apr 2023
MARS: Model-agnostic Biased Object Removal without Additional
  Supervision for Weakly-Supervised Semantic Segmentation
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
Sang-Kee Jo
In-Jae Yu
Kyungsu Kim
101
18
0
19 Apr 2023
Transformer-Based Visual Segmentation: A Survey
Transformer-Based Visual Segmentation: A Survey
Xiangtai Li
Henghui Ding
Haobo Yuan
Wenwei Zhang
Jiangmiao Pang
Guangliang Cheng
Kai-xiang Chen
Ziwei Liu
Chen Change Loy
ViTMedIm
170
147
0
19 Apr 2023
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing
  Image Understanding
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding
Dilxat Muhtar
Xue-liang Zhang
Pengfeng Xiao
Zhenshi Li
Feng-Xue Gu
SSL
114
57
0
19 Apr 2023
To Compress or Not to Compress- Self-Supervised Learning and Information
  Theory: A Review
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz-Ziv
Yann LeCun
SSL
127
75
0
19 Apr 2023
PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via
  Cross-modal Distillation and Super-Voxel Clustering
PointDC:Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering
Zisheng Chen
Hongbin Xu
Weitao Chen
Zhipeng Zhou
Haihong Xiao
Baigui Sun
Xuansong Xie
Wenxiong Kang
3DPC
75
8
0
18 Apr 2023
STRAP: Structured Object Affordance Segmentation with Point Supervision
STRAP: Structured Object Affordance Segmentation with Point Supervision
Lei Cui
Xiaoxue Chen
Hao Zhao
Guyue Zhou
Yixin Zhu
3DPC
65
7
0
17 Apr 2023
Delving into Shape-aware Zero-shot Semantic Segmentation
Delving into Shape-aware Zero-shot Semantic Segmentation
Xinyu Liu
Beiwen Tian
Zhen Wang
Rui Wang
Kehua Sheng
Bo Zhang
Hao Zhao
Guyue Zhou
VLM
106
20
0
17 Apr 2023
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual
  Grouping
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
Long Lian
Zhirong Wu
Stella X. Yu
VOS
54
12
0
17 Apr 2023
Self-Supervised Learning from Non-Object Centric Images with a Geometric
  Transformation Sensitive Architecture
Self-Supervised Learning from Non-Object Centric Images with a Geometric Transformation Sensitive Architecture
Taeho Kim
Jong-Min Lee
83
0
0
17 Apr 2023
Autoencoders with Intrinsic Dimension Constraints for Learning Low
  Dimensional Image Representations
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations
Jianzhang Zheng
Hao Shen
Jian Yang
Xuan Tang
Mingsong Chen
Hui Yu
Jielong Guo
Xian Wei
46
0
0
16 Apr 2023
Masked Pre-Training of Transformers for Histology Image Analysis
Masked Pre-Training of Transformers for Histology Image Analysis
Shuai Jiang
Liesbeth Hondelink
A. Suriawinata
Saeed Hassanpour
MedIm
57
18
0
14 Apr 2023
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic
  Segmentation
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation
Alexander Koenig
Maximilian Schambach
Johannes Otterbach
65
6
0
14 Apr 2023
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