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Emerging Properties in Self-Supervised Vision Transformers

Emerging Properties in Self-Supervised Vision Transformers

29 April 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
ArXivPDFHTML

Papers citing "Emerging Properties in Self-Supervised Vision Transformers"

50 / 1,385 papers shown
Title
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Vivien A. Cabannes
B. Kiani
Randall Balestriero
Yann LeCun
A. Bietti
SSL
24
31
0
06 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
43
118
0
05 Feb 2023
Self-Supervised Transformer Architecture for Change Detection in Radio
  Access Networks
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Igor Kozlov
D. Rivkin
Wei-Di Chang
Di Wu
Xue Liu
Gregory Dudek
AI4TS
13
1
0
03 Feb 2023
Show me your NFT and I tell you how it will perform: Multimodal
  representation learning for NFT selling price prediction
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
Davide Costa
Lucio La Cava
Andrea Tagarelli
29
22
0
03 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
26
8
0
02 Feb 2023
Vision Transformer-based Feature Extraction for Generalized Zero-Shot
  Learning
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Jiseob Kim
Kyuhong Shim
Junhan Kim
B. Shim
ViT
32
12
0
02 Feb 2023
Real Estate Property Valuation using Self-Supervised Vision Transformers
Real Estate Property Valuation using Self-Supervised Vision Transformers
Mahdieh Yazdani
M. Raissi
ViT
18
1
0
31 Jan 2023
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View
  Semantic Consistency
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
Pengzhen Ren
Changlin Li
Hang Xu
Yi Zhu
Guangrun Wang
Jian-zhuo Liu
Xiaojun Chang
Xiaodan Liang
42
43
0
31 Jan 2023
Inference Time Evidences of Adversarial Attacks for Forensic on
  Transformers
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Hugo Lemarchant
Liang Li
Yiming Qian
Yuta Nakashima
Hajime Nagahara
ViT
AAML
43
0
0
31 Jan 2023
Continuous Spatiotemporal Transformers
Continuous Spatiotemporal Transformers
Antonio H. O. Fonseca
E. Zappala
J. O. Caro
David van Dijk
26
7
0
31 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Don't Play Favorites: Minority Guidance for Diffusion Models
Soo Bin Um
Suhyeon Lee
Jong Chul Ye
DiffM
31
22
0
29 Jan 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification Again
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
24
48
0
28 Jan 2023
Deciphering the Projection Head: Representation Evaluation
  Self-supervised Learning
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
Jiajun Ma
Tianyang Hu
Wei Cao
23
8
0
28 Jan 2023
Cross-Architectural Positive Pairs improve the effectiveness of
  Self-Supervised Learning
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
P. Singh
Jacopo Cirrone
SSL
48
0
0
27 Jan 2023
Understanding Self-Supervised Pretraining with Part-Aware Representation
  Learning
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
Jie Zhu
Jiyang Qi
Mingyu Ding
Xiaokang Chen
Ping Luo
Xinggang Wang
Wenyu Liu
Leye Wang
Jingdong Wang
SSL
38
8
0
27 Jan 2023
Cut and Learn for Unsupervised Object Detection and Instance
  Segmentation
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang
Rohit Girdhar
Stella X. Yu
Ishan Misra
VLM
64
162
0
26 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
40
33
0
26 Jan 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image
  Classification
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification
Iván de Andrés Tamé
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
31
2
0
25 Jan 2023
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in
  Autonomous Driving
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
Angelika Ando
Spyros Gidaris
Andrei Bursuc
Gilles Puy
Alexandre Boulch
Renaud Marlet
ViT
3DPC
26
72
0
24 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale
  Text-to-Image Synthesis
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer
Tero Karras
S. Laine
Andreas Geiger
Timo Aila
37
209
0
23 Jan 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Open-Set Likelihood Maximization for Few-Shot Learning
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
34
10
0
20 Jan 2023
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
Ram Ramrakhya
Dhruv Batra
Erik Wijmans
Abhishek Das
OffRL
31
53
0
18 Jan 2023
RILS: Masked Visual Reconstruction in Language Semantic Space
RILS: Masked Visual Reconstruction in Language Semantic Space
Shusheng Yang
Yixiao Ge
Kun Yi
Dian Li
Ying Shan
Xiaohu Qie
Xinggang Wang
CLIP
43
11
0
17 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
20
100
0
16 Jan 2023
Learning to Summarize Videos by Contrasting Clips
Learning to Summarize Videos by Contrasting Clips
Ivan Sosnovik
A. Moskalev
Cees Kaandorp
A. Smeulders
19
0
0
12 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
49
9
0
12 Jan 2023
Toward Building General Foundation Models for Language, Vision, and
  Vision-Language Understanding Tasks
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
Xinsong Zhang
Yan Zeng
Jipeng Zhang
Hang Li
VLM
AI4CE
LRM
22
17
0
12 Jan 2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical
  Masked Modeling
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian
Yi-Xin Jiang
Qishuai Diao
Chen Lin
Liwei Wang
Zehuan Yuan
36
100
0
09 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in
  Self-Supervised Learning
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Jidong Ge
YuXiang Liu
Jie Gui
Lanting Fang
Ming Lin
James T. Kwok
LiGuo Huang
B. Luo
SSL
22
5
0
08 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
35
16
0
06 Jan 2023
CiT: Curation in Training for Effective Vision-Language Data
CiT: Curation in Training for Effective Vision-Language Data
Hu Xu
Saining Xie
Po-Yao (Bernie) Huang
Licheng Yu
Russ Howes
Gargi Ghosh
Luke Zettlemoyer
Christoph Feichtenhofer
VLM
DiffM
33
25
0
05 Jan 2023
Skip-Attention: Improving Vision Transformers by Paying Less Attention
Skip-Attention: Improving Vision Transformers by Paying Less Attention
Shashanka Venkataramanan
Amir Ghodrati
Yuki M. Asano
Fatih Porikli
A. Habibian
ViT
23
25
0
05 Jan 2023
Learning by Sorting: Self-supervised Learning with Group Ordering
  Constraints
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
Nina Shvetsova
Felix Petersen
Anna Kukleva
Bernt Schiele
Hilde Kuehne
SSL
49
12
0
05 Jan 2023
Event Camera Data Pre-training
Event Camera Data Pre-training
Yan Yang
Liyuan Pan
Liu Liu
28
32
0
05 Jan 2023
PACO: Parts and Attributes of Common Objects
PACO: Parts and Attributes of Common Objects
Vignesh Ramanathan
Anmol Kalia
Vladan Petrovic
Yiqian Wen
Baixue Zheng
...
Abhishek Kadian
Amir Mousavi
Yi-Zhe Song
Abhimanyu Dubey
D. Mahajan
VLM
30
95
0
04 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
MoBYv2AL: Self-supervised Active Learning for Image Classification
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
Tae-Kyun Kim
SSL
35
7
0
04 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial
  Mixture Approach
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
NoLa
42
0
0
04 Jan 2023
Ego-Only: Egocentric Action Detection without Exocentric Transferring
Ego-Only: Egocentric Action Detection without Exocentric Transferring
Huiyu Wang
Mitesh Singh
Lorenzo Torresani
EgoV
77
24
0
03 Jan 2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Sucheng Ren
Fangyun Wei
Zheng-Wei Zhang
Han Hu
42
35
0
03 Jan 2023
A New Perspective to Boost Vision Transformer for Medical Image
  Classification
A New Perspective to Boost Vision Transformer for Medical Image Classification
Yuexiang Li
Yawen Huang
Nanjun He
Kai Ma
Yefeng Zheng
ViT
MedIm
23
3
0
03 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo
Shoubhik Debnath
Ronghang Hu
Xinlei Chen
Zhuang Liu
In So Kweon
Saining Xie
SyDa
85
729
0
02 Jan 2023
Deep Learning Technique for Human Parsing: A Survey and Outlook
Deep Learning Technique for Human Parsing: A Survey and Outlook
Lu Yang
Wenhe Jia
Shane Li
Q. Song
ViT
55
17
0
01 Jan 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
  Representation Learning
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
121
170
0
30 Dec 2022
Improving Visual Representation Learning through Perceptual
  Understanding
Improving Visual Representation Learning through Perceptual Understanding
Samyakh Tukra
Frederick Hoffman
Ken Chatfield
33
5
0
30 Dec 2022
Swin MAE: Masked Autoencoders for Small Datasets
Swin MAE: Masked Autoencoders for Small Datasets
Zián Xu
Yin Dai
Fayu Liu
Weibin Chen
Yue Liu
Li-Li Shi
Sheng Liu
Yuhang Zhou
SyDa
MedIm
ViT
36
28
0
28 Dec 2022
MVTN: Learning Multi-View Transformations for 3D Understanding
MVTN: Learning Multi-View Transformations for 3D Understanding
Abdullah Hamdi
Faisal AlZahrani
Silvio Giancola
Guohao Li
3DPC
3DV
34
6
0
27 Dec 2022
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
Metadata-guided Consistency Learning for High Content Images
Metadata-guided Consistency Learning for High Content Images
Johan Fredin Haslum
Christos Matsoukas
Karl‐Johan Leuchowius
Erik Mullers
Kevin Smith
30
8
0
22 Dec 2022
A Mathematical Framework for Learning Probability Distributions
A Mathematical Framework for Learning Probability Distributions
Hongkang Yang
31
7
0
22 Dec 2022
Similarity Contrastive Estimation for Image and Video Soft Contrastive
  Self-Supervised Learning
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
J. Denize
Jaonary Rabarisoa
Astrid Orcesi
Romain Hérault
SSL
19
6
0
21 Dec 2022
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