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Deep Clustering for Unsupervised Learning of Visual Features
v1v2 (latest)

Deep Clustering for Unsupervised Learning of Visual Features

15 July 2018
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
    SSL
ArXiv (abs)PDFHTML

Papers citing "Deep Clustering for Unsupervised Learning of Visual Features"

50 / 503 papers shown
Title
Discovering New Intents with Deep Aligned Clustering
Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang
Hua Xu
Ting-En Lin
Rui Lv
143
119
0
16 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
114
693
0
15 Dec 2020
Are Fewer Labels Possible for Few-shot Learning?
Are Fewer Labels Possible for Few-shot Learning?
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lefei Zhang
Qi Chu
Nenghai Yu
SSL
63
3
0
10 Dec 2020
Contrastive Transformation for Self-supervised Correspondence Learning
Contrastive Transformation for Self-supervised Correspondence Learning
Ning Wang
Wen-gang Zhou
Houqiang Li
VOS
96
34
0
09 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
93
80
0
08 Dec 2020
Self-Supervised Visual Representation Learning from Hierarchical
  Grouping
Self-Supervised Visual Representation Learning from Hierarchical Grouping
Xiao Zhang
Michael Maire
SSL
85
74
0
05 Dec 2020
Towards Good Practices in Self-supervised Representation Learning
Towards Good Practices in Self-supervised Representation Learning
Srikar Appalaraju
Yi Zhu
Yusheng Xie
István Fehérvári
SSL
69
21
0
01 Dec 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
122
278
0
26 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
90
252
0
25 Nov 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image
  Segmentation
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Zehui Liao
Yong-quan Xia
Chunhua Shen
84
47
0
25 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
262
4,078
0
20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
120
415
0
19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
66
13
0
19 Nov 2020
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural
  Networks
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks
L. N. Darlow
Stanisław Jastrzębski
Amos Storkey
134
24
0
19 Nov 2020
ActBERT: Learning Global-Local Video-Text Representations
ActBERT: Learning Global-Local Video-Text Representations
Linchao Zhu
Yi Yang
ViT
134
423
0
14 Nov 2020
Bi-tuning of Pre-trained Representations
Bi-tuning of Pre-trained Representations
Jincheng Zhong
Ximei Wang
Zhi Kou
Jianmin Wang
Mingsheng Long
57
21
0
12 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping
Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che
Guohua Yang
Dawei Zhang
J. Tao
Pengpeng Shao
Tong Liu
SSL
69
23
0
10 Nov 2020
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
68
13
0
08 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
76
8
0
05 Nov 2020
Learning and Evaluating Representations for Deep One-class
  Classification
Learning and Evaluating Representations for Deep One-class Classification
Kihyuk Sohn
Chun-Liang Li
Jinsung Yoon
Minho Jin
Tomas Pfister
SSL
167
202
0
04 Nov 2020
Weed Density and Distribution Estimation for Precision Agriculture using
  Semi-Supervised Learning
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning
Shantam Shorewala
Armaan Ashfaque
R. Sidharth
Ujjwal Verma
46
67
0
04 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing
  Texture
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
SSL
100
11
0
03 Nov 2020
Learning Representations from Audio-Visual Spatial Alignment
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado
Yi Li
Nuno Vasconcelos
SSL
88
124
0
03 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
73
13
0
27 Oct 2020
Unsupervised deep learning for grading of age-related macular
  degeneration using retinal fundus images
Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images
Baladitya Yellapragada
Sascha Hornauer
Kiersten Snyder
Stella X. Yu
Glenn Yiu
MedIm
23
4
0
22 Oct 2020
Local plasticity rules can learn deep representations using
  self-supervised contrastive predictions
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing
Jean-Paul Ventura
G. Bellec
W. Gerstner
SSLDRL
124
71
0
16 Oct 2020
Are all negatives created equal in contrastive instance discrimination?
Are all negatives created equal in contrastive instance discrimination?
Tiffany Cai
Jonathan Frankle
D. Schwab
Ari S. Morcos
SSL
76
83
0
13 Oct 2020
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Akiyoshi Kurobe
Yoshikatsu Nakajima
Hideo Saito
Kris Kitani
SSL
25
3
0
13 Oct 2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image
  Segmentation on Unseen Datasets
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Shujun Wang
Lequan Yu
Kang Li
Xin Yang
Chi-Wing Fu
Pheng-Ann Heng
78
137
0
13 Oct 2020
Support-set bottlenecks for video-text representation learning
Support-set bottlenecks for video-text representation learning
Mandela Patrick
Po-Yao (Bernie) Huang
Yuki M. Asano
Florian Metze
Alexander G. Hauptmann
João Henriques
Andrea Vedaldi
95
249
0
06 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
85
63
0
05 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
142
647
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
80
80
0
01 Oct 2020
Joint Contrastive Learning with Infinite Possibilities
Joint Contrastive Learning with Infinite Possibilities
Qi Cai
Yu Wang
Yingwei Pan
Ting Yao
Tao Mei
VLM
69
60
0
30 Sep 2020
Contrastive Clustering
Contrastive Clustering
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
76
635
0
21 Sep 2020
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons
  from Infant Learning
The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning
L. Zaadnoordijk
Tarek R. Besold
R. Cusack
SSLDRL
43
3
0
17 Sep 2020
A Self-Reasoning Framework for Anomaly Detection Using Video-Level
  Labels
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
M. Zaheer
Arif Mahmood
Ho-chul Shin
Seung-Ik Lee
51
82
0
27 Aug 2020
Learning Visual Representations with Caption Annotations
Learning Visual Representations with Caption Annotations
Mert Bulent Sariyildiz
J. Perez
Diane Larlus
VLMSSL
113
162
0
04 Aug 2020
LoCo: Local Contrastive Representation Learning
LoCo: Local Contrastive Representation Learning
Yuwen Xiong
Mengye Ren
R. Urtasun
SSLDRL
86
70
0
04 Aug 2020
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang
Qiaosong Wang
Wei-Chih Hung
Robinson Piramuthu
Yi-Hsuan Tsai
Ming-Hsuan Yang
172
260
0
03 Aug 2020
Multiple Descent: Design Your Own Generalization Curve
Multiple Descent: Design Your Own Generalization Curve
Lin Chen
Yifei Min
M. Belkin
Amin Karbasi
DRL
157
61
0
03 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPCSSL
88
119
0
01 Aug 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas Guibas
Or Litany
3DPC
226
642
0
21 Jul 2020
Explaining Deep Neural Networks using Unsupervised Clustering
Explaining Deep Neural Networks using Unsupervised Clustering
Yu-Han Liu
Sercan O. Arik
SSLAI4CE
70
11
0
15 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By
  Comparing Image Representations
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
Hong-Yu Zhou
Shuang Yu
Cheng Bian
Yifan Hu
Kai Ma
Yefeng Zheng
SSLMedIm
73
106
0
15 Jul 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
N. Sebe
SSL
108
316
0
13 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular
  Property Prediction
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhong Hao
Chengqiang Lu
Zheyuan Hu
Hongya Wang
Zhenya Huang
Qi Liu
Enhong Chen
Cheekong Lee
129
140
0
07 Jul 2020
Data Augmenting Contrastive Learning of Speech Representations in the
  Time Domain
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Eugene Kharitonov
M. Rivière
Gabriel Synnaeve
Lior Wolf
Pierre-Emmanuel Mazaré
Matthijs Douze
Emmanuel Dupoux
134
118
0
02 Jul 2020
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning
  with application to COVID-19 detection
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection
Asmaa Abbas
M. Abdelsamea
M. Gaber
OODViT
71
64
0
26 Jun 2020
Labelling unlabelled videos from scratch with multi-modal
  self-supervision
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki M. Asano
Mandela Patrick
Christian Rupprecht
Andrea Vedaldi
SSL
114
152
0
24 Jun 2020
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