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Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

17 June 2020
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
    OCL
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments"

35 / 835 papers shown
Title
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
23
50
0
10 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
27
79
0
08 Dec 2020
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
20
68
0
07 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
13
12
0
04 Dec 2020
Self-EMD: Self-Supervised Object Detection without ImageNet
Self-EMD: Self-Supervised Object Detection without ImageNet
Songtao Liu
Zeming Li
Jian-jun Sun
SSL
ObjD
27
92
0
27 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
H. Gouk
Timothy M. Hospedales
SSL
35
274
0
26 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
30
68
0
25 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
27
28
0
25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
15
70
0
24 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
13
165
0
23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
S. Hoi
SSL
21
252
0
23 Nov 2020
Enriching ImageNet with Human Similarity Judgments and Psychological
  Embeddings
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Brett D. Roads
Bradley C. Love
3DH
24
39
0
22 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
16
3,949
0
20 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
115
0
09 Nov 2020
CODER: Knowledge infused cross-lingual medical term embedding for term
  normalization
CODER: Knowledge infused cross-lingual medical term embedding for term normalization
Zheng Yuan
Zhengyun Zhao
Haixia Sun
Jiao Li
Fei Wang
Sheng Yu
MedIm
8
95
0
05 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
28
173
0
05 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning
Center-wise Local Image Mixture For Contrastive Representation Learning
Hao Li
Xiaopeng Zhang
H. Xiong
10
8
0
05 Nov 2020
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
20
13
0
27 Oct 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
28
64
0
14 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
109
80
0
13 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
30
62
0
05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OOD
SSL
11
20
0
03 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
29
628
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
13
78
0
01 Oct 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
S. Hoi
26
94
0
17 Sep 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
18
58
0
26 Aug 2020
Representation Learning with Video Deep InfoMax
Representation Learning with Video Deep InfoMax
R. Devon Hjelm
Philip Bachman
SSL
MDE
16
28
0
27 Jul 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
33
1,586
0
15 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSL
VLM
24
432
0
11 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
S. Hoi
SSL
DRL
69
955
0
11 May 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation
  Learning
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen
Zechun Liu
Zhuang Liu
Marios Savvides
Trevor Darrell
Eric P. Xing
OCL
SSL
24
103
0
11 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
147
127
0
13 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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