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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
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TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic
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TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
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Pichao Wang
Fan Wang
Xianzhe Xu
Hanling Zhang
Hao Li
Rong Jin
250
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0
02 Dec 2021
Reference-guided Pseudo-Label Generation for Medical Semantic
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Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
C. Seibold
Simon Reiß
Jens Kleesiek
Rainer Stiefelhagen
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107
78
0
01 Dec 2021
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
324
5
0
24 Nov 2021
Learning Representation for Clustering via Prototype Scattering and
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Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Zhizhong Huang
Jie Chen
Junping Zhang
Hongming Shan
195
132
0
23 Nov 2021
DAPPER: Label-Free Performance Estimation after Personalization for
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DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile SensingProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2021
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Yewon Kim
Adiba Orzikulova
Yunxin Liu
Sung Ju Hwang
Jinwoo Shin
Sung-Ju Lee
253
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0
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ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object
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ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
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Iro Laina
Christian Rupprecht
3DVVOS
312
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0
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Unsupervised Learning Architecture for Classifying the Transient Noise
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Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave DetectorsScientific Reports (Sci Rep), 2021
Yusuke Sakai
Y. Itoh
P. Jung
K. Kokeyama
C. Kozakai
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G. Ueshima
T. Washimi
Takahiro Yamamoto
T. Yokozawa
197
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Weakly-supervised fire segmentation by visualizing intermediate CNN
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Weakly-supervised fire segmentation by visualizing intermediate CNN layers
Milad Niknejad
Alexandre Bernardino
93
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Unsupervised Part Discovery from Contrastive Reconstruction
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Iro Laina
Christian Rupprecht
Andrea Vedaldi
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455
71
0
11 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AIIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
390
144
0
11 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSLViT
123
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0
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Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region CompetitionNeural Information Processing Systems (NeurIPS), 2021
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
322
45
0
29 Oct 2021
GenURL: A General Framework for Unsupervised Representation Learning
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Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD3DGSOffRL
304
12
0
27 Oct 2021
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic
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MaskSplit: Self-supervised Meta-learning for Few-shot Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Yunxin Li
Ahmet Sencan
Yunxin Ding
Nazli Ikizler-Cinbis
Hao Fei
VLMSSL
212
17
0
23 Oct 2021
Improving Model Generalization by Agreement of Learned Representations
  from Data Augmentation
Improving Model Generalization by Agreement of Learned Representations from Data AugmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Rowel Atienza
ViT
253
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0
20 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
255
25
0
14 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels
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Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje
Johannes Brunger
M. Santarossa
Simon-Martin Schroder
R. Kiko
Reinhard Koch
348
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Detecting Corrupted Labels Without Training a Model to Predict
Detecting Corrupted Labels Without Training a Model to PredictInternational Conference on Machine Learning (ICML), 2021
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
515
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0
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Multi-Class Cell Detection Using Spatial Context Representation
Multi-Class Cell Detection Using Spatial Context RepresentationIEEE International Conference on Computer Vision (ICCV), 2021
Shahira Abousamra
David Belinsky
John S. Van Arnam
F. Allard
E. Yee
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286
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Colour augmentation for improved semi-supervised semantic segmentation
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SubTab: Subsetting Features of Tabular Data for Self-Supervised
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Talip Uçar
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Lindsay Edwards
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230
153
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InfoSeg: Unsupervised Semantic Image Segmentation with Mutual
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InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization
Robert Harb
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200
25
0
07 Oct 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
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Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
451
252
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29 Sep 2021
Dense Semantic Contrast for Self-Supervised Visual Representation
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Dense Semantic Contrast for Self-Supervised Visual Representation Learning
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Yifei Zhang
Aoting Zhang
Wei Wang
Ning Jiang
Haiying Wu
Weiping Wang
SSL
236
43
0
16 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering
Joint Debiased Representation Learning and Imbalanced Data Clustering
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Emilio Dorigatti
David Rügamer
B. Bischl
SSL
222
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ScatSimCLR: self-supervised contrastive learning with pretext task
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ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
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136
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Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image
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Kazuhiro Hotta
93
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Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
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Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-Xiong Wang
232
195
0
20 Aug 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature
  Learning
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
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Goran Frehse
Zeynep Akata
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127
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A Unified Objective for Novel Class Discovery
A Unified Objective for Novel Class Discovery
Enrico Fini
E. Sangineto
Stéphane Lathuilière
Zhun Zhong
Moin Nabi
Elisa Ricci
406
230
0
19 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural
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Existence, Stability and Scalability of Orthogonal Convolutional Neural NetworksJournal of machine learning research (JMLR), 2021
El Mehdi Achour
Franccois Malgouyres
Franck Mamalet
333
23
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Few-Shot Segmentation with Global and Local Contrastive Learning
Few-Shot Segmentation with Global and Local Contrastive Learning
Weide Liu
Zhonghua Wu
Henghui Ding
Fayao Liu
Jie Lin
Guosheng Lin
Wei Zhou
310
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M2IOSR: Maximal Mutual Information Open Set Recognition
M2IOSR: Maximal Mutual Information Open Set Recognition
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Fangqiu Yi
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288
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Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across ViewsIEEE International Conference on Computer Vision (ICCV), 2021
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Svetha Venkatesh
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176
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MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
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S. Narayanan
Vineela Indla
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A. Ramachandran
85
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Clustering-Based Representation Learning through Output Translation and
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Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
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Bin Li
J. Garibaldi
Guoping Qiu
SSL
236
4
0
13 Jul 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image
  Segmentation
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Euijoon Ahn
Dagan Feng
Jinman Kim
194
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Neural Mixture Models with Expectation-Maximization for End-to-end Deep
  Clustering
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
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Kasun Vithanage
Rukshan Wijesinghe
A. Xavier
Sanath Jayasena
Subha Fernando
Ranga Rodrigo
FedML
129
5
0
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fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection
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fMBN-E: Efficient Unsupervised Network Structure Ensemble and Selection for Clustering
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328
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Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Yibao Sun
Xingru Huang
Yaqi Wang
Huiyu Zhou
Qianni Zhang
161
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02 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
158
36
0
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A data-centric approach for improving ambiguous labels with combined
  semi-supervised classification and clustering
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clusteringEuropean Conference on Computer Vision (ECCV), 2021
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Claudius Zelenka
R. Kiko
J. Stracke
N. Volkmann
Reinhard Koch
282
12
0
30 Jun 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual CategoriesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
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207
181
0
29 Jun 2021
SRPN: similarity-based region proposal networks for nuclei and cells
  detection in histology images
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
Yibao Sun
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Huiyu Zhou
Qianni Zhang
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40
0
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Novelty Detection via Contrastive Learning with Negative Data
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159
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Efficient Self-supervised Vision Transformers for Representation
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