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Joint Unsupervised Learning of Deep Representations and Image Clusters
v1v2v3 (latest)

Joint Unsupervised Learning of Deep Representations and Image Clusters

13 April 2016
Jianwei Yang
Devi Parikh
Dhruv Batra
    SSL
ArXiv (abs)PDFHTML

Papers citing "Joint Unsupervised Learning of Deep Representations and Image Clusters"

50 / 357 papers shown
Title
Leverage Your Local and Global Representations: A New Self-Supervised
  Learning Strategy
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
Tong Zhang
Congpei Qiu
Wei Ke
Sabine Süsstrunk
Mathieu Salzmann
SSL
108
39
0
31 Mar 2022
Iterative, Deep Synthetic Aperture Sonar Image Segmentation
Iterative, Deep Synthetic Aperture Sonar Image Segmentation
Yun Sun
Isaac D. Gerg
V. Monga
33
11
0
28 Mar 2022
Contrastive learning of Class-agnostic Activation Map for Weakly
  Supervised Object Localization and Semantic Segmentation
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
Jinheng Xie
Jianfeng Xiang
Junliang Chen
Xianxu Hou
Xiaodong Zhao
Linlin Shen
VLMWSOL
146
19
0
25 Mar 2022
Self-supervised Video-centralised Transformer for Video Face Clustering
Self-supervised Video-centralised Transformer for Video Face Clustering
Yujiang Wang
Mingzhi Dong
Jie Shen
Yi-Si Luo
Yiming Lin
Pingchuan Ma
Stavros Petridis
Maja Pantic
ViT
69
3
0
24 Mar 2022
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic
  Segmentation
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation
Ruihuang Li
Shuai Li
Chenhang He
Yabin Zhang
Xu Jia
Lei Zhang
90
84
0
18 Mar 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLMSSL
126
111
0
16 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
157
400
0
07 Feb 2022
HCSC: Hierarchical Contrastive Selective Coding
HCSC: Hierarchical Contrastive Selective Coding
Yuanfan Guo
Minghao Xu
Jiawen Li
Bingbing Ni
Xuanyu Zhu
Zhenbang Sun
Yi Tian Xu
73
73
0
01 Feb 2022
Deep clustering with fusion autoencoder
Deep clustering with fusion autoencoder
Shuai Chang
DRL
21
0
0
11 Jan 2022
Cluster-guided Image Synthesis with Unconditional Models
Cluster-guided Image Synthesis with Unconditional Models
Markos Georgopoulos
James Oldfield
Grigorios G. Chrysos
Yannis Panagakis
GAN
77
6
0
24 Dec 2021
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly
  Types
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types
Kihyuk Sohn
Jinsung Yoon
Chun-Liang Li
Chen-Yu Lee
Tomas Pfister
58
18
0
21 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
101
152
0
20 Dec 2021
Boosting Contrastive Learning with Relation Knowledge Distillation
Boosting Contrastive Learning with Relation Knowledge Distillation
Kai Zheng
Yuanjiang Wang
Ye Yuan
SSL
50
13
0
08 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs
Top-Down Deep Clustering with Multi-generator GANs
Daniel de Mello
Renato M. Assunção
Fabricio Murai
79
17
0
06 Dec 2021
AnchorGAE: General Data Clustering via $O(n)$ Bipartite Graph
  Convolution
AnchorGAE: General Data Clustering via O(n)O(n)O(n) Bipartite Graph Convolution
Hongyuan Zhang
Jiankun Shi
Rui Zhang
Xuelong Li
GNN
101
1
0
12 Nov 2021
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
106
80
0
27 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
98
19
0
14 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang
Chong You
René Vidal
Chun-Guang Li
96
44
0
08 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization
Turkay Kart
Wenjia Bai
Ben Glocker
Daniel Rueckert
81
11
0
30 Sep 2021
Deep Embedded K-Means Clustering
Deep Embedded K-Means Clustering
We Guo
Kaiyan Lin
Wei Ye
DRL
25
26
0
30 Sep 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning
Cluster Analysis with Deep Embeddings and Contrastive Learning
Ramakrishnan Sundareswaran
Jansel Herrera-Gerena
John Just
Ali Janessari
SSLDRL
61
4
0
26 Sep 2021
Deep Variational Clustering Framework for Self-labeling of Large-scale
  Medical Images
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images
Farzin Soleymani
M. Eslami
T. Elze
B. Bischl
Mina Rezaei
46
5
0
22 Sep 2021
Self-Supervised Metric Learning With Graph Clustering For Speaker
  Diarization
Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization
Prachi Singh
Sriram Ganapathy
SSL
57
7
0
14 Sep 2021
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent
  Recognition
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
Hanlei Zhang
Xiaoteng Li
Hua Xu
Panpan Zhang
Kang Zhao
Kai Gao
101
35
0
13 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering
Joint Debiased Representation Learning and Imbalanced Data Clustering
Mina Rezaei
Emilio Dorigatti
David Rügamer
Bernd Bischl
SSL
73
3
0
11 Sep 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
55
13
0
24 Aug 2021
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
Matteo Fabbri
Guillem Brasó
Gianluca Maugeri
Orcun Cetintas
Riccardo Gasparini
Aljosa Osep
Simone Calderara
Laura Leal-Taixe
Rita Cucchiara
ViT
118
109
0
21 Aug 2021
Investigating a Baseline Of Self Supervised Learning Towards Reducing
  Labeling Costs For Image Classification
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification
Hilal AlQuabeh
Ameera Bawazeer
Abdulateef Alhashmi
SSL
23
3
0
17 Aug 2021
Clustering augmented Self-Supervised Learning: Anapplication to Land
  Cover Mapping
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping
Rahul Ghosh
X. Jia
Chenxi Lin
Zhenong Jin
Vipin Kumar
SSL
41
9
0
16 Aug 2021
Improving ClusterGAN Using Self-Augmented Information Maximization of
  Disentangling Latent Spaces
Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces
T. Dam
S. Anavatti
H. Abbass
53
6
0
27 Jul 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLMSSL
53
37
0
24 Jul 2021
Selective Pseudo-label Clustering
Selective Pseudo-label Clustering
Louis Mahon
Thomas Lukasiewicz
57
15
0
22 Jul 2021
Clustering-Based Representation Learning through Output Translation and
  Its Application to Remote--Sensing Images
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qing Li
Bin Li
J. Garibaldi
Guoping Qiu
SSL
50
4
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
86
69
0
12 Jul 2021
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning
  for Fast and Effective White Matter Parcellation
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation
Yuqian Chen
Chaoyi Zhang
Yang Song
N. Makris
Yogesh Rathi
Weidong (Tom) Cai
Fan Zhang
L. O’Donnell
74
24
0
11 Jul 2021
Augmented Data as an Auxiliary Plug-in Towards Categorization of
  Crowdsourced Heritage Data
Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data
S. V. Kudari
Akshaykumar Gunari
Adarsh Jamadandi
R. Tabib
U. Mudenagudi
26
2
0
08 Jul 2021
Introducing the structural bases of typicality effects in deep learning
Introducing the structural bases of typicality effects in deep learning
Omar Vidal Pino
Erickson R. Nascimento
M. Campos
26
1
0
07 Jul 2021
Neural Mixture Models with Expectation-Maximization for End-to-end Deep
  Clustering
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
Dumindu Tissera
Kasun Vithanage
Rukshan Wijesinghe
A. Xavier
Sanath Jayasena
Subha Fernando
Ranga Rodrigo
FedML
26
4
0
06 Jul 2021
fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection
  for Clustering
fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection for Clustering
Xiao-Lei Zhang
25
0
0
05 Jul 2021
Unsupervised Image Segmentation by Mutual Information Maximization and
  Adversarial Regularization
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial Regularization
S. E. Mirsadeghi
Ali Royat
H. Rezatofighi
61
32
0
01 Jul 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
80
132
0
29 Jun 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature
  Corruption
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
SSL
74
177
0
29 Jun 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
108
214
0
17 Jun 2021
AugNet: End-to-End Unsupervised Visual Representation Learning with
  Image Augmentation
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation
Mingxiang Chen
Z. Chang
Hao Lu
Bitao Yang
Zhuang Li
Liufang Guo
Zhecheng Wang
SSL
15
10
0
11 Jun 2021
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
79
5
0
11 Jun 2021
Separating Boundary Points via Structural Regularization for Very
  Compact Clusters
Separating Boundary Points via Structural Regularization for Very Compact Clusters
Xin Ma
Won Hwa Kim
19
0
0
09 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
M. Willetts
Brooks Paige
CMLOOD
59
25
0
09 Jun 2021
Self-supervised Graph-level Representation Learning with Local and
  Global Structure
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu
Hang Wang
Bingbing Ni
Hongyu Guo
Jian Tang
SSL
73
212
0
08 Jun 2021
Incremental False Negative Detection for Contrastive Learning
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen
Wei-Chih Hung
Hung-Yu Tseng
Shao-Yi Chien
Ming-Hsuan Yang
SSLCLL
87
62
0
07 Jun 2021
You Never Cluster Alone
You Never Cluster Alone
Yuming Shen
Ziyi Shen
Menghan Wang
Jie Qin
Philip Torr
Ling Shao
SSL
98
45
0
03 Jun 2021
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