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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
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion
  Models
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
Chang-rui Liu
Haoning Wu
Yujie Zhong
Xiaoyu Zhang
Yanfeng Wang
Weidi Xie
DiffMVLM
154
44
0
01 Jun 2023
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image
  Generation
ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation
Shaozhe Hao
Kai Han
Shihao Zhao
Kwan-Yee K. Wong
88
10
0
01 Jun 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Shalev Lifshitz
Keiran Paster
Harris Chan
Jimmy Ba
Sheila A. McIlraith
LM&Ro
139
76
0
01 Jun 2023
A Probabilistic Relaxation of the Two-Stage Object Pose Estimation
  Paradigm
A Probabilistic Relaxation of the Two-Stage Object Pose Estimation Paradigm
Onur Beker
3DV
49
0
0
01 Jun 2023
Learning Disentangled Prompts for Compositional Image Synthesis
Learning Disentangled Prompts for Compositional Image Synthesis
Kihyuk Sohn
Albert Eaton Shaw
Yuan Hao
Han Zhang
Luisa F. Polanía
Huiwen Chang
Lu Jiang
Irfan Essa
VLM
63
8
0
01 Jun 2023
Rotating Features for Object Discovery
Rotating Features for Object Discovery
Sindy Löwe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
132
28
0
01 Jun 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of
  Undersampled MRI Reconstruction
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
Mevan Ekanayake
Zhiwen Chen
Mehrtash Harandi
Gary Egan
Zhaolin Chen
85
3
0
01 Jun 2023
On Masked Pre-training and the Marginal Likelihood
On Masked Pre-training and the Marginal Likelihood
Pablo Moreno-Muñoz
Pol G. Recasens
Søren Hauberg
SSL
61
6
0
01 Jun 2023
Exploring Open-Vocabulary Semantic Segmentation without Human Labels
Exploring Open-Vocabulary Semantic Segmentation without Human Labels
Jun Chen
Deyao Zhu
Guocheng Qian
Guohao Li
Zhicheng Yan
Chenchen Zhu
Fanyi Xiao
Mohamed Elhoseiny
Sean Culatana
VLM
90
11
0
01 Jun 2023
Affinity-based Attention in Self-supervised Transformers Predicts
  Dynamics of Object Grouping in Humans
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
Hossein Adeli
Seoyoung Ahn
N. Kriegeskorte
G. Zelinsky
ViT
70
5
0
01 Jun 2023
Self-supervised Vision Transformers for 3D Pose Estimation of Novel
  Objects
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
S. Thalhammer
Jean-Baptiste Weibel
Markus Vincze
Jose Garcia-Rodriguez
ViT
93
10
0
31 May 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector
Augmentation-aware Self-supervised Learning with Conditioned Projector
Marcin Przewike'zlikowski
Mateusz Pyla
Bartosz Zieliñski
Bartlomiej Twardowski
Jacek Tabor
Marek Śmieja
SSL
99
3
0
31 May 2023
Instance-dependent Noisy-label Learning with Graphical Model Based
  Noise-rate Estimation
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
95
1
0
31 May 2023
PaintSeg: Training-free Segmentation via Painting
PaintSeg: Training-free Segmentation via Painting
Xiang Li
Chung-Ching Lin
Yinpeng Chen
Zicheng Liu
Jinglu Wang
Bhiksha Raj
117
5
0
30 May 2023
Contextual Vision Transformers for Robust Representation Learning
Contextual Vision Transformers for Robust Representation Learning
Yu Bao
Theofanis Karaletsos
ViT
47
14
0
30 May 2023
Vision Transformers for Mobile Applications: A Short Survey
Vision Transformers for Mobile Applications: A Short Survey
Nahid Alam
Steven Kolawole
S. Sethi
Nishant Bansali
Karina Nguyen
ViT
69
4
0
30 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
Giannis Daras
Kulin Shah
Y. Dagan
Aravind Gollakota
A. Dimakis
Adam R. Klivans
DiffM
124
76
0
30 May 2023
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
AMatFormer: Efficient Feature Matching via Anchor Matching Transformer
Bo Jiang
S. Luo
Tianlin Li
Chuanfu Li
Jin Tang
70
9
0
30 May 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning
  and Diffusion Priors
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Paul S. Scotti
Atmadeep Banerjee
J. Goode
Stepan Shabalin
A. Nguyen
...
Nathalie Verlinde
Elad Yundler
David Weisberg
K. A. Norman
Tanishq Mathew Abraham
DiffM
147
120
0
29 May 2023
Multi-Modal Face Stylization with a Generative Prior
Multi-Modal Face Stylization with a Generative Prior
Mengtian Li
Yi Dong
Minxuan Lin
Haibin Huang
Pengfei Wan
Chongyang Ma
CVBM
111
3
0
29 May 2023
LowDINO -- A Low Parameter Self Supervised Learning Model
LowDINO -- A Low Parameter Self Supervised Learning Model
Sai Krishna Prathapaneni
Shvejan Shashank
K. SrikarReddy
115
0
0
28 May 2023
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection
Ori Nizan
A. Tal
48
7
0
28 May 2023
Instance-based Max-margin for Practical Few-shot Recognition
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu
Kevin Zhu
Jianxin Wu
84
3
0
27 May 2023
Matrix Information Theory for Self-Supervised Learning
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang
Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
119
19
0
27 May 2023
COMCAT: Towards Efficient Compression and Customization of
  Attention-Based Vision Models
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Jinqi Xiao
Miao Yin
Yu Gong
Xiao Zang
Jian Ren
Bo Yuan
VLMViT
132
9
0
26 May 2023
VoxDet: Voxel Learning for Novel Instance Detection
VoxDet: Voxel Learning for Novel Instance Detection
Bowen Li
Jiashun Wang
Yaoyu Hu
Chen Wang
Sebastian Scherer
99
6
0
26 May 2023
Investigating how ReLU-networks encode symmetries
Investigating how ReLU-networks encode symmetries
Georg Bökman
Fredrik Kahl
67
6
0
26 May 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen
Mark Collier
Basil Mustafa
Tianlin Li
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
Jesse Berent
Rodolphe Jenatton
Efi Kokiopoulou
VLM
69
13
0
26 May 2023
Modulate Your Spectrum in Self-Supervised Learning
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng
Yu-Li Ni
Tengwei Song
Jie Luo
Rao Muhammad Anwer
Salman Khan
Fahad Shahbaz Khan
Lei Huang
82
5
0
26 May 2023
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical
  Invariance
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance
Yinpeng Chen
Xiyang Dai
Dongdong Chen
Mengchen Liu
Lu Yuan
Zicheng Liu
Youzuo Lin
101
2
0
25 May 2023
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Omri Avrahami
Kfir Aberman
Ohad Fried
Daniel Cohen-Or
Dani Lischinski
VLMDiffM
111
178
0
25 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
92
13
0
25 May 2023
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with
  One Reference
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
Zhiwen Fan
Pan Pan
Peihao Wang
Yi Ding
Dejia Xu
Hanwen Jiang
Zhangyang Wang
86
24
0
25 May 2023
Unsupervised Semantic Correspondence Using Stable Diffusion
Unsupervised Semantic Correspondence Using Stable Diffusion
Eric Hedlin
Gopal Sharma
Shweta Mahajan
Hossam N. Isack
Abhishek Kar
Andrea Tagliasacchi
K. M. Yi
DiffM
106
96
0
24 May 2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic
  Contrast Sets
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith
Miguel Farinha
Elizaveta Semenova
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
90
19
0
24 May 2023
RoMa: Robust Dense Feature Matching
RoMa: Robust Dense Feature Matching
Johan Edstedt
Qiyu Sun
Georg Bökman
Maarten Wadenback
Michael Felsberg
3DV
87
110
0
24 May 2023
Learning high-level visual representations from a child's perspective
  without strong inductive biases
Learning high-level visual representations from a child's perspective without strong inductive biases
A. Orhan
Brenden M. Lake
SSL
91
19
0
24 May 2023
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot
  Semantic Correspondence
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Junyi Zhang
Charles Herrmann
Junhwa Hur
Luisa Polania Cabrera
Varun Jampani
Deqing Sun
Ming-Hsuan Yang
DiffM
106
188
0
24 May 2023
ViTMatte: Boosting Image Matting with Pretrained Plain Vision
  Transformers
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
J. Yao
Xinggang Wang
Shusheng Yang
Baoyuan Wang
ViT
108
64
0
24 May 2023
Delving Deeper into Data Scaling in Masked Image Modeling
Delving Deeper into Data Scaling in Masked Image Modeling
Cheng Lu
Xiaojie Jin
Qibin Hou
Jun Hao Liew
Mingg-Ming Cheng
Jiashi Feng
71
4
0
24 May 2023
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree
  Neural Radiance Fields
InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields
Dongqing Wang
Tong Zhang
Alaa Abboud
Sabine Süsstrunk
80
12
0
24 May 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
OCL
119
15
0
24 May 2023
Non-adversarial Robustness of Deep Learning Methods for Computer Vision
Non-adversarial Robustness of Deep Learning Methods for Computer Vision
Gorana Gojić
V. Vincan
O. Kundacina
D. Mišković
Dinu Dragan
OOD
52
4
0
24 May 2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable
  Text-to-Image Generation and Editing
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Dongxu Li
Junnan Li
Steven C. H. Hoi
105
331
0
24 May 2023
Label-Efficient Learning in Agriculture: A Comprehensive Review
Label-Efficient Learning in Agriculture: A Comprehensive Review
Jiajia Li
Dong Chen
Xinda Qi
Zhao Li
Yanbo Huang
Daniel Morris
Xiaobo Tan
89
38
0
24 May 2023
Quantifying Character Similarity with Vision Transformers
Quantifying Character Similarity with Vision Transformers
Xinmei Yang
Abhishek Arora
Shao-Yu Jheng
Melissa Dell
111
3
0
24 May 2023
Siamese Masked Autoencoders
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
92
56
0
23 May 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic
  Correspondence
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Grace Luo
Lisa Dunlap
Dong Huk Park
Aleksander Holynski
Trevor Darrell
133
136
0
23 May 2023
Training Transitive and Commutative Multimodal Transformers with LoReTTa
Training Transitive and Commutative Multimodal Transformers with LoReTTa
Manuel Tran
Yashin Dicente Cid
Amal Lahiani
Fabian J. Theis
Tingying Peng
Eldad Klaiman
60
2
0
23 May 2023
Provably Learning Object-Centric Representations
Provably Learning Object-Centric Representations
Jack Brady
Roland S. Zimmermann
Yash Sharma
Bernhard Schölkopf
Julius von Kügelgen
Wieland Brendel
OCL
99
36
0
23 May 2023
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