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Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
v1v2v3v4 (latest)

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

IEEE International Conference on Computer Vision (ICCV), 2018
17 July 2018
Xu Ji
João F. Henriques
Andrea Vedaldi
    SSLVLM
ArXiv (abs)PDFHTMLGithub (881★)

Papers citing "Invariant Information Clustering for Unsupervised Image Classification and Segmentation"

50 / 514 papers shown
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
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T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
172
14
0
15 Feb 2021
Multi-source Pseudo-label Learning of Semantic Segmentation for the
  Scene Recognition of Agricultural Mobile Robots
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots
Shigemichi Matsuzaki
J. Miura
Hiroaki Masuzawa
282
10
0
12 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with
  Noisy Labels
Clusterability as an Alternative to Anchor Points When Learning with Noisy LabelsInternational Conference on Machine Learning (ICML), 2021
Zhaowei Zhu
Yiwen Song
Yang Liu
NoLa
220
110
0
10 Feb 2021
Playable Video Generation
Playable Video GenerationComputer Vision and Pattern Recognition (CVPR), 2021
Willi Menapace
Stéphane Lathuilière
Sergey Tulyakov
Aliaksandr Siarohin
Elisa Ricci
SSLVGen
189
75
0
28 Jan 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper
  Representations
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper RepresentationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
I. Sledge
José C. Príncipe
308
5
0
18 Jan 2021
Machine-learning enhanced dark soliton detection in Bose-Einstein
  condensates
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates
Shangjie Guo
A. R. Fritsch
Craig S. Greenberg
I. Spielman
Justyna P. Zwolak
146
22
0
14 Jan 2021
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility
  by Deep Neural Networks
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural NetworksCommunications in Computer and Information Science (CCIS), 2021
Takumi Watanabe
Hiroki Takahashi
Goh Sato
Yusuke Iwasawa
Y. Matsuo
I. Yairi
57
4
0
11 Jan 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained ClusteringData mining and knowledge discovery (DMKD), 2021
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
167
36
0
07 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-CloudIEEE International Conference on Computer Vision (ICCV), 2021
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
466
320
0
07 Jan 2021
Few Shot Learning With No Labels
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
174
4
0
26 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
217
24
0
25 Dec 2020
Unsupervised Image Segmentation using Mutual Mean-Teaching
Unsupervised Image Segmentation using Mutual Mean-Teaching
Zhichao Wu
Lei Guo
Hao Zhang
Dan Xu
102
0
0
16 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error MaximizationComputer Vision and Pattern Recognition (CVPR), 2020
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
305
35
0
14 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
582
289
0
09 Dec 2020
Joint Optimization of an Autoencoder for Clustering and Embedding
Joint Optimization of an Autoencoder for Clustering and Embedding
Ahcène Boubekki
Michael C. Kampffmeyer
Robert Jenssen
Ulf Brefeld
DRL
355
22
0
07 Dec 2020
A Pseudo-labelling Auto-Encoder for unsupervised image classification
A Pseudo-labelling Auto-Encoder for unsupervised image classification
Aymene Mohammed Bouayed
Karim Atif
R. Deriche
Abdelhakim Saim
228
1
0
06 Dec 2020
Self-labeled Conditional GANs
Self-labeled Conditional GANs
M. Noroozi
SSL
284
11
0
03 Dec 2020
Capturing implicit hierarchical structure in 3D biomedical images with
  self-supervised hyperbolic representations
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representationsNeural Information Processing Systems (NeurIPS), 2020
Joy Hsu
Jeffrey Gu
Gong-Her Wu
Wah Chiu
Serena Yeung
SSL
316
32
0
03 Dec 2020
Boosting the Performance of Semi-Supervised Learning with Unsupervised
  Clustering
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
B. Lerner
Guy Shiran
D. Weinshall
SSL
140
5
0
01 Dec 2020
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent
  Unsupervised Learning Using Mutual Information Maximization
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information MaximizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Hanchen Xie
Mohamed E. Hussein
Aram Galstyan
Wael Abd-Almageed
SSL
117
8
0
30 Nov 2020
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient
  Disease Class, Sex, and Age
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and AgeNeural Information Processing Systems (NeurIPS), 2020
Dani Kiyasseh
T. Zhu
David Clifton
125
9
0
28 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labelsIEEE International Conference on Computer Vision (ICCV), 2020
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Edouard Grave
SSL
152
76
0
25 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR CluesComputer Vision and Pattern Recognition (CVPR), 2020
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
368
33
0
25 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
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No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification ProblemsNeural Information Processing Systems (NeurIPS), 2020
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
311
279
0
25 Nov 2020
Multiclass non-Adversarial Image Synthesis, with Application to
  Classification from Very Small Sample
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
Itamar Winter
D. Weinshall
GAN
167
0
0
25 Nov 2020
A comparative study of semi- and self-supervised semantic segmentation
  of biomedical microscopy data
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data
Nastassya Horlava
A. Mironenko
Sebastian Niehaus
Sebastian Wagner
Ingo Roeder
N. Scherf
SSL
99
5
0
11 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
179
15
0
08 Nov 2020
Learning Representations from Audio-Visual Spatial Alignment
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado
Yi Li
Nuno Vasconcelos
SSL
178
138
0
03 Nov 2020
The Mathematical Foundations of Manifold Learning
The Mathematical Foundations of Manifold Learning
Luke Melas-Kyriazi
AI4CE
191
20
0
30 Oct 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing RepresentationsNeural Information Processing Systems (NeurIPS), 2020
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
256
98
0
28 Oct 2020
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
163
13
0
27 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CLOUD: Contrastive Learning of Unsupervised DynamicsConference on Robot Learning (CoRL), 2020
Jianren Wang
Yujie Lu
Hang Zhao
238
5
0
23 Oct 2020
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
507
369
0
19 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
171
30
0
12 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
342
260
0
06 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual RepresentationsInternational Conference on Learning Representations (ICLR), 2020
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
266
88
0
05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation LearningIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OODSSL
291
21
0
03 Oct 2020
Open-Set Hypothesis Transfer with Semantic Consistency
Open-Set Hypothesis Transfer with Semantic ConsistencyIEEE Transactions on Image Processing (TIP), 2020
Zeyu Feng
Chang Xu
Dacheng Tao
154
16
0
01 Oct 2020
An Unsupervised Sentence Embedding Method by Mutual Information
  Maximization
An Unsupervised Sentence Embedding Method by Mutual Information MaximizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Yan Zhang
Ruidan He
Zuozhu Liu
Kwan Hui Lim
Lidong Bing
SSL
266
189
0
25 Sep 2020
Contrastive Clustering
Contrastive ClusteringAAAI Conference on Artificial Intelligence (AAAI), 2021
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
258
740
0
21 Sep 2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D
  Skeleton Based Person Re-Identification
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-IdentificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Haocong Rao
Siqi Wang
Xiping Hu
Zhuliang Yu
Yi Guo
Jun Cheng
Xinwang Liu
Bin Hu
3DH
306
80
0
05 Sep 2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Improving Self-Organizing Maps with Unsupervised Feature ExtractionInternational Conference on Neural Information Processing (ICONIP), 2020
Lyes Khacef
Laurent Rodriguez
Benoit Miramond
SSLDRL
128
16
0
04 Sep 2020
InClass Nets: Independent Classifier Networks for Nonparametric
  Estimation of Conditional Independence Mixture Models and Unsupervised
  Classification
InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification
Konstantin T. Matchev
Prasanth Shyamsundar
CML
169
0
0
31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual RepresentationsInternational Journal of Computer Vision (IJCV), 2020
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLVLM
210
62
0
26 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering
MPCC: Matching Priors and Conditionals for Clustering
N. Astorga
P. Huijse
P. Protopapas
P. Estévez
86
2
0
21 Aug 2020
Learning to Cluster under Domain Shift
Learning to Cluster under Domain ShiftEuropean Conference on Computer Vision (ECCV), 2020
Willi Menapace
Stéphane Lathuilière
Elisa Ricci
OOD
123
14
0
11 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group DiscriminationComputer Vision and Pattern Recognition (CVPR), 2020
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
373
87
0
09 Aug 2020
Deep Robust Clustering by Contrastive Learning
Deep Robust Clustering by Contrastive Learning
Huasong Zhong
C. L. Philip Chen
Zhongming Jin
Xiansheng Hua
OOD
328
74
0
07 Aug 2020
Memory-augmented Dense Predictive Coding for Video Representation
  Learning
Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
322
256
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flexgrid2vec: Learning Efficient Visual Representations Vectors
flexgrid2vec: Learning Efficient Visual Representations Vectors
Ali Hamdi
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Flora D. Salim
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251
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