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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 / 4,176 papers shown
Title
SAMCLR: Contrastive pre-training on complex scenes using SAM for view
  sampling
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling
Benjamin Missaoui
Chongbin Yuan
VLM
59
1
0
23 Oct 2023
Learning Generalizable Manipulation Policies with Object-Centric 3D
  Representations
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Yifeng Zhu
Zhenyu Jiang
Peter Stone
Yuke Zhu
3DPC
99
49
0
22 Oct 2023
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
Mohammadreza Salehi
Mehrdad Farajtabar
Maxwell Horton
Fartash Faghri
Hadi Pouransari
Raviteja Vemulapalli
Oncel Tuzel
Ali Farhadi
Mohammad Rastegari
Sachin Mehta
CLIPVLM
83
2
0
21 Oct 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim
Sanghyuk Chun
Byeongho Heo
Dongyoon Han
SSL
100
2
0
20 Oct 2023
SILC: Improving Vision Language Pretraining with Self-Distillation
SILC: Improving Vision Language Pretraining with Self-Distillation
Muhammad Ferjad Naeem
Yongqin Xian
Xiaohua Zhai
Lukas Hoyer
Luc Van Gool
F. Tombari
VLM
115
36
0
20 Oct 2023
Domain-specific optimization and diverse evaluation of self-supervised
  models for histopathology
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Faruk Ahmed
Supriya Vijay
Tiam Jaroensri
Jessica Loo
...
Jonathan Krause
Yun-Hui Liu
Po-Hsuan Cameron Chen
Ellery Wulczyn
David F. Steiner
73
7
0
20 Oct 2023
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
Chengxu Zhuang
Evelina Fedorenko
Jacob Andreas
76
12
0
20 Oct 2023
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Gabriele Corso
Yilun Xu
Valentin De Bortoli
Regina Barzilay
Tommi Jaakkola
DiffM
102
26
0
19 Oct 2023
Frozen Transformers in Language Models Are Effective Visual Encoder
  Layers
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang
Ziyang Xie
Yunze Man
Yu-Xiong Wang
148
27
0
19 Oct 2023
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A
  Survey
Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
Oriane Siméoni
Éloi Zablocki
Spyros Gidaris
Gilles Puy
Patrick Pérez
86
14
0
19 Oct 2023
Predicting Ovarian Cancer Treatment Response in Histopathology using
  Hierarchical Vision Transformers and Multiple Instance Learning
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning
Jack Breen
Katie Allen
K. Zucker
Geoff Hall
Nishant Ravikumar
Nicolas M. Orsi
58
3
0
19 Oct 2023
Representation Learning via Consistent Assignment of Views over Random
  Partitions
Representation Learning via Consistent Assignment of Views over Random Partitions
T. Silva
Adín Ramirez Rivera
SSL
126
3
0
19 Oct 2023
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans
  Using Deep Self-supervised Learning
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning
Hussain Alasmawi
Leanne Bricker
Mohammad Yaqub
57
2
0
19 Oct 2023
PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
Junghyun Kim
Gi-Cheon Kang
Jaein Kim
Seoyun Yang
Minjoon Jung
Byoung-Tak Zhang
78
0
0
19 Oct 2023
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from
  Traditional Models to Foundation Models
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
Zhaozheng Chen
Qianru Sun
VLM
138
9
0
19 Oct 2023
WeedCLR: Weed Contrastive Learning through Visual Representations with
  Class-Optimized Loss in Long-Tailed Datasets
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets
Alzayat Saleh
A. Olsen
Jake Wood
B. Philippa
M. R. Azghadi
89
0
0
19 Oct 2023
Improving Representation Learning for Histopathologic Images with
  Cluster Constraints
Improving Representation Learning for Histopathologic Images with Cluster Constraints
Weiyi Wu
Chongyang Gao
Joseph DiPalma
Soroush Vosoughi
Saeed Hassanpour
79
3
0
18 Oct 2023
An Image is Worth Multiple Words: Discovering Object Level Concepts
  using Multi-Concept Prompt Learning
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
Chen Jin
Ryutaro Tanno
Amrutha Saseendran
Tom Diethe
Philip Teare
48
3
0
18 Oct 2023
Context-Aware Meta-Learning
Context-Aware Meta-Learning
Christopher Fifty
Dennis Duan
Ronald G. Junkins
Ehsan Amid
Jurij Leskovec
Christopher Ré
Sebastian Thrun
LRMVLMMLLM
86
12
0
17 Oct 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot
I. Redko
Anton Mallasto
Charlotte Laclau
Karol Arndt
Oliver Struckmeier
Markus Heinonen
Ville Kyrki
Samuel Kaski
175
2
0
17 Oct 2023
Enhancing Plasticity for First Session Adaptation Continual Learning
Enhancing Plasticity for First Session Adaptation Continual Learning
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
116
3
0
17 Oct 2023
Interpreting and Controlling Vision Foundation Models via Text
  Explanations
Interpreting and Controlling Vision Foundation Models via Text Explanations
Haozhe Chen
Junfeng Yang
Carl Vondrick
Chengzhi Mao
91
3
0
16 Oct 2023
An Empirical Study of Self-supervised Learning with Wasserstein Distance
An Empirical Study of Self-supervised Learning with Wasserstein Distance
Makoto Yamada
Yuki Takezawa
Guillaume Houry
Kira Michaela Dusterwald
Deborah Sulem
Han Zhao
Yao-Hung Hubert Tsai
68
1
0
16 Oct 2023
SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT
SD-HuBERT: Sentence-Level Self-Distillation Induces Syllabic Organization in HuBERT
Cheol Jun Cho
Abdelrahman Mohamed
Shang-Wen Li
Alan W. Black
Gopala K. Anumanchipalli
112
9
0
16 Oct 2023
Interactive Task Planning with Language Models
Interactive Task Planning with Language Models
Boyi Li
Philipp Wu
Pieter Abbeel
Jitendra Malik
LM&Ro
116
38
0
16 Oct 2023
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass
  Breast Cancer Classification
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification
Kanan Mahammadli
Abdullah Burkan Bereketoglu
A. Kabakcı
63
0
0
15 Oct 2023
ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
Binglun Wang
Niladri Shekhar Dutt
Niloy J. Mitra
88
11
0
15 Oct 2023
Prototype-oriented Unsupervised Change Detection for Disaster Management
Prototype-oriented Unsupervised Change Detection for Disaster Management
Youngtack Oh
Minseok Seo
Do-Yun Kim
Junghoon Seo
59
0
0
15 Oct 2023
Is ImageNet worth 1 video? Learning strong image encoders from 1 long
  unlabelled video
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Shashanka Venkataramanan
Mamshad Nayeem Rizve
João Carreira
Yuki M. Asano
Yannis Avrithis
SSL
70
20
0
12 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
Jan Dubiñski
Stanislaw Pawlak
Franziska Boenisch
Tomasz Trzciñski
Adam Dziedzic
AAML
54
5
0
12 Oct 2023
SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction
  Tasks of Security Inspection X-ray Images
SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction Tasks of Security Inspection X-ray Images
Shervin Halat
Mohammad Rahmati
Ehsan Nazerfard
141
0
0
12 Oct 2023
SingleInsert: Inserting New Concepts from a Single Image into
  Text-to-Image Models for Flexible Editing
SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing
Zijie Wu
Chaohui Yu
Zhen Zhu
Fan Wang
Xiang Bai
82
12
0
12 Oct 2023
Self-supervised visual learning for analyzing firearms trafficking
  activities on the Web
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Sotirios Konstantakos
Despina Ioanna Chalkiadaki
Ioannis Mademlis
Adamantia Anna Rebolledo Chrysochoou
Georgios Th. Papadopoulos
60
5
0
12 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
127
8
0
11 Oct 2023
Does resistance to style-transfer equal Global Shape Bias? Measuring
  network sensitivity to global shape configuration
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
Ziqi Wen
Tianqin Li
Zhi Jing
Tai Sing Lee
OOD
59
0
0
11 Oct 2023
ProtoHPE: Prototype-guided High-frequency Patch Enhancement for
  Visible-Infrared Person Re-identification
ProtoHPE: Prototype-guided High-frequency Patch Enhancement for Visible-Infrared Person Re-identification
Gui-Xu Zhang
Yongfei Zhang
Zichang Tan
74
11
0
11 Oct 2023
Heuristic Vision Pre-Training with Self-Supervised and Supervised
  Multi-Task Learning
Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning
Zhiming Qian
VLMSSL
56
0
0
11 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series
  Pretraining
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
Chenguo Lin
Xumeng Wen
Wei Cao
Congrui Huang
Jiang Bian
Stephen Lin
Zhirong Wu
AI4TS
88
5
0
11 Oct 2023
Causal Unsupervised Semantic Segmentation
Causal Unsupervised Semantic Segmentation
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
94
18
0
11 Oct 2023
Hierarchical Decomposition of Prompt-Based Continual Learning:
  Rethinking Obscured Sub-optimality
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Mingyi Huang
Hang Su
Jun Zhu
CLL
97
93
0
11 Oct 2023
State of the Art on Diffusion Models for Visual Computing
State of the Art on Diffusion Models for Visual Computing
Ryan Po
Wang Yifan
Vladislav Golyanik
Kfir Aberman
Jonathan T. Barron
...
Matthias Nießner
Bjorn Ommer
Christian Theobalt
Peter Wonka
Gordon Wetzstein
133
111
0
11 Oct 2023
Computational Pathology at Health System Scale -- Self-Supervised
  Foundation Models from Three Billion Images
Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Gabriele Campanella
Ricky Kwan
Eugene Fluder
Jennifer Zeng
A. Stock
...
Adam J. Schoenfeld
Chad M. Vanderbilt
P. Kovatch
Carlos Cordon-Cardo
Thomas J. Fuchs
MedIm
128
27
0
10 Oct 2023
Self-supervised Object-Centric Learning for Videos
Self-supervised Object-Centric Learning for Videos
Görkay Aydemir
Weidi Xie
Fatma Guney
OCLVOSSSL
87
29
0
10 Oct 2023
A General Protocol to Probe Large Vision Models for 3D Physical
  Understanding
A General Protocol to Probe Large Vision Models for 3D Physical Understanding
Guanqi Zhan
Chuanxia Zheng
Weidi Xie
Andrew Zisserman
DiffM
90
15
0
10 Oct 2023
Uni3D: Exploring Unified 3D Representation at Scale
Uni3D: Exploring Unified 3D Representation at Scale
Junsheng Zhou
Jinsheng Wang
Baorui Ma
Yu-Shen Liu
Tiejun Huang
Xinlong Wang
116
98
0
10 Oct 2023
Latent Diffusion Counterfactual Explanations
Latent Diffusion Counterfactual Explanations
Karim Farid
Simon Schrodi
Max Argus
Thomas Brox
DiffM
99
14
0
10 Oct 2023
Perceptual MAE for Image Manipulation Localization: A High-level Vision
  Learner Focusing on Low-level Features
Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features
Xiaochen Ma
Jizhe Zhou
Xiong Xu
Zhuohang Jiang
Chi-Man Pun
67
0
0
10 Oct 2023
AttributionLab: Faithfulness of Feature Attribution Under Controllable
  Environments
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
Yang Zhang
Yawei Li
Hannah Brown
Mina Rezaei
Bernd Bischl
Philip Torr
Ashkan Khakzar
Kenji Kawaguchi
OOD
81
2
0
10 Oct 2023
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised
  Transformers for Weakly Supervised Object Localization
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization
Shakeeb Murtaza
Soufiane Belharbi
M. Pedersoli
Aydin Sarraf
Eric Granger
WSOL
123
9
0
09 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
111
5
0
09 Oct 2023
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