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Bootstrap your own latent: A new approach to self-supervised Learning

Bootstrap your own latent: A new approach to self-supervised Learning

13 June 2020
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
Elena Buchatskaya
Carl Doersch
Bernardo Avila-Pires
Z. Guo
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
    SSL
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Papers citing "Bootstrap your own latent: A new approach to self-supervised Learning"

50 / 3,825 papers shown
Title
Towards to Robust and Generalized Medical Image Segmentation Framework
Yurong Chen
OOD
35
3
0
09 Aug 2021
Neighborhood Consensus Contrastive Learning for Backward-Compatible
  Representation
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Shengsen Wu
Liang Chen
Yihang Lou
Yan Bai
Tao Bai
Minghua Deng
Ling-yu Duan
26
8
0
07 Aug 2021
Improving Contrastive Learning by Visualizing Feature Transformation
Improving Contrastive Learning by Visualizing Feature Transformation
Rui Zhu
Bingchen Zhao
Jingen Liu
Zhenglong Sun
Chen Chen
SSL
101
78
0
06 Aug 2021
Video Contrastive Learning with Global Context
Video Contrastive Learning with Global Context
Haofei Kuang
Yi Zhu
Zhi-Li Zhang
Xinyu Li
Joseph Tighe
Sören Schwertfeger
C. Stachniss
Mu Li
SSL
AI4TS
27
60
0
05 Aug 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang
Jingyang Lin
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
SSL
40
16
0
05 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun Xia
Lirong Wu
Stan Z. Li
NoLa
76
120
0
05 Aug 2021
Semi-weakly Supervised Contrastive Representation Learning for Retinal
  Fundus Images
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap
B. Ng
SSL
36
3
0
04 Aug 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance
  Filtering
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Chang-rui Liu
Han Yu
Boyang Albert Li
Zhiqi Shen
Zhanning Gao
Peiran Ren
Xuansong Xie
Li-zhen Cui
Chunyan Miao
NoLa
30
0
0
03 Aug 2021
Self-Supervised Disentangled Representation Learning for Third-Person
  Imitation Learning
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang
Michael S. Ryoo
SSL
24
24
0
02 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
40
22
0
02 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised
  Learning
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Jinyuan Jia
Yupei Liu
Neil Zhenqiang Gong
SILM
SSL
47
152
0
01 Aug 2021
The History of Speech Recognition to the Year 2030
The History of Speech Recognition to the Year 2030
Awni Y. Hannun
AI4TS
29
21
0
30 Jul 2021
Object-aware Contrastive Learning for Debiased Scene Representation
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo
H. Kang
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
SSL
OCL
30
49
0
30 Jul 2021
On the Efficacy of Small Self-Supervised Contrastive Models without
  Distillation Signals
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
Haizhou Shi
Youcai Zhang
Siliang Tang
Wenjie Zhu
Yaqian Li
Yandong Guo
Yueting Zhuang
SyDa
28
15
0
30 Jul 2021
Cross-Camera Feature Prediction for Intra-Camera Supervised Person
  Re-identification across Distant Scenes
Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
Wenhang Ge
Chunyan Pan
Ancong Wu
Hongwei Zheng
Weishi Zheng
27
26
0
29 Jul 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly
  Detection
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Jinlei Hou
Yingying Zhang
Qiaoyong Zhong
Di Xie
Shiliang Pu
Hong Zhou
27
142
0
28 Jul 2021
DCL: Differential Contrastive Learning for Geometry-Aware Depth
  Synthesis
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
Yuefan Shen
Yanchao Yang
Youyi Zheng
Karen Liu
Leonidas J. Guibas
MDE
28
5
0
27 Jul 2021
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia
  Assessment
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
Othmane Laousy
G. Chassagnon
Edouard Oyallon
Nikos Paragios
M. Revel
Maria Vakalopoulou
22
2
0
27 Jul 2021
Unsupervised Outlier Detection using Memory and Contrastive Learning
Unsupervised Outlier Detection using Memory and Contrastive Learning
Ning Huyan
Dou Quan
Xiangrong Zhang
Xuefeng Liang
Jocelyn Chanussot
L. Jiao
45
22
0
27 Jul 2021
Improve Unsupervised Pretraining for Few-label Transfer
Improve Unsupervised Pretraining for Few-label Transfer
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
SSL
18
20
0
26 Jul 2021
AASAE: Augmentation-Augmented Stochastic Autoencoders
AASAE: Augmentation-Augmented Stochastic Autoencoders
William Falcon
A. Jha
Teddy Koker
Kyunghyun Cho
18
0
0
26 Jul 2021
Parametric Contrastive Learning
Parametric Contrastive Learning
Jiequan Cui
Zhisheng Zhong
Shu Liu
Bei Yu
Jiaya Jia
41
270
0
26 Jul 2021
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
Zhipeng Luo
Zhongang Cai
Changqing Zhou
Gong-Duo Zhang
Haiyu Zhao
Shuai Yi
Shijian Lu
Hongsheng Li
Shanghang Zhang
Ziwei Liu
3DPC
29
84
0
23 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li
Xuesong Yang
Meihao Kong
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
24
0
0
22 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
41
42
0
20 Jul 2021
Parametric Scattering Networks
Parametric Scattering Networks
Shanel Gauthier
Benjamin Thérien
Laurent Alsene-Racicot
Muawiz Chaudhary
Irina Rish
Eugene Belilovsky
Michael Eickenberg
Guy Wolf
29
16
0
20 Jul 2021
Large-scale graph representation learning with very deep GNNs and
  self-supervision
Large-scale graph representation learning with very deep GNNs and self-supervision
Ravichandra Addanki
Peter W. Battaglia
David Budden
Andreea Deac
Jonathan Godwin
...
Wai Lok Sibon Li
Alvaro Sanchez-Gonzalez
Jacklynn Stott
S. Thakoor
Petar Velivcković
SSL
AI4CE
27
25
0
20 Jul 2021
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD
  classification directly from H&E whole-slide images in colorectal and breast
  cancer
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer
Yoni Schirris
E. Gavves
I. Nederlof
H. Horlings
Jonas Teuwen
30
93
0
20 Jul 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
23
113
0
20 Jul 2021
Playful Interactions for Representation Learning
Playful Interactions for Representation Learning
Sarah Young
Jyothish Pari
Pieter Abbeel
Lerrel Pinto
SSL
49
14
0
19 Jul 2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Jiahuan Zhou
Yansong Tang
Fuchun Sun
Ying Nian Wu
27
1
0
19 Jul 2021
Exploring Set Similarity for Dense Self-supervised Representation
  Learning
Exploring Set Similarity for Dense Self-supervised Representation Learning
Zhaoqing Wang
Qiang Li
Guoxin Zhang
Pengfei Wan
Wen Zheng
N. Wang
Biwei Huang
Tongliang Liu
SSL
33
44
0
19 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering
Nairouz Mrabah
Mohamed Bouguessa
M. Touati
Riadh Ksantini
40
63
0
19 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
47
88
0
16 Jul 2021
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
Rhydian Windsor
A. Jamaludin
T. Kadir
Andrew Zisserman
31
16
0
14 Jul 2021
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
Shruthi Bannur
Ozan Oktay
Mélanie Bernhardt
Anton Schwaighofer
R. Jena
...
A. Nori
K. Natarajan
S. Ashraf
Javier Alvarez-Valle
Daniel Coelho De Castro
11
0
0
14 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion
  Attacks
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks
Xin Dong
Hongxu Yin
J. Álvarez
Jan Kautz
Pavlo Molchanov
H. T. Kung
MIACV
37
8
0
13 Jul 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OOD
AI4CE
28
49
0
13 Jul 2021
Geographical Knowledge-driven Representation Learning for Remote Sensing
  Images
Geographical Knowledge-driven Representation Learning for Remote Sensing Images
Wenyuan Li
Keyan Chen
Hao Chen
Zhenwei Shi
SSL
38
64
0
12 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation
  Based on Multi-Domain Data Aggregation
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
Hao Zheng
Jun Han
Hongxiao Wang
Lin Yang
Zhuo Zhao
Chaoli Wang
Danny Chen
29
23
0
10 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
50
41
0
07 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong Liu
Jie Zhang
Chunyan Miao
SSL
36
77
0
07 Jul 2021
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge
  Transfer
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Zineng Tang
Jaemin Cho
Hao Tan
Joey Tianyi Zhou
VLM
38
29
0
06 Jul 2021
Multi-Level Graph Contrastive Learning
Multi-Level Graph Contrastive Learning
Pengpeng Shao
Tong Liu
Dawei Zhang
J. Tao
Feihu Che
Guohua Yang
27
9
0
06 Jul 2021
End-to-End Weak Supervision
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
33
40
0
05 Jul 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip Torr
Luca Bertinetto
42
82
0
05 Jul 2021
Semi-supervised Learning for Dense Object Detection in Retail Scenes
Semi-supervised Learning for Dense Object Detection in Retail Scenes
Jaydeep Chauhan
Srikrishna Varadarajan
Muktabh Mayank Srivastava
25
2
0
05 Jul 2021
Continual Contrastive Learning for Image Classification
Continual Contrastive Learning for Image Classification
Zhiwei Lin
Yongtao Wang
Hongxiang Lin
SSL
CLL
24
14
0
05 Jul 2021
Bag of Instances Aggregation Boosts Self-supervised Distillation
Bag of Instances Aggregation Boosts Self-supervised Distillation
Haohang Xu
Jiemin Fang
Xiaopeng Zhang
Lingxi Xie
Xinggang Wang
Wenrui Dai
H. Xiong
Qi Tian
SSL
36
21
0
04 Jul 2021
Inter-intra Variant Dual Representations forSelf-supervised Video
  Recognition
Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
Lin Zhang
Qi She
Zhengyang Shen
Changhu Wang
SSL
30
9
0
02 Jul 2021
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