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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
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
125
0
0
09 Jun 2021
Fairness-Aware Node Representation Learning
Fairness-Aware Node Representation Learning
Öykü Deniz Köse
Yanning Shen
156
22
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 StructureInternational Conference on Machine Learning (ICML), 2021
Minghao Xu
Hang Wang
Bingbing Ni
Ziqiao Wang
Jian Tang
SSL
206
243
0
08 Jun 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective
  Data Contrast
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data ContrastDesign Automation Conference (DAC), 2021
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
206
29
0
07 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small DatasetsNeural Information Processing Systems (NeurIPS), 2021
Yahui Liu
E. Sangineto
Wei Bi
Andrii Zadaianchuk
Bruno Lepri
Marco De Nadai
ViT
194
215
0
07 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual
  Representation: A Review
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
Ran Liu
SSL
142
12
0
06 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Juil Sock
UQCV
375
118
0
06 Jun 2021
You Never Cluster Alone
You Never Cluster AloneNeural Information Processing Systems (NeurIPS), 2021
Yuming Shen
Ziyi Shen
Menghan Wang
Jie Qin
Juil Sock
Ling Shao
SSL
259
57
0
03 Jun 2021
GMAIR: Unsupervised Object Detection Based on Spatial Attention and
  Gaussian Mixture
GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian MixtureComputational Intelligence and Neuroscience (Comput. Intell. Neurosci.), 2021
Weijin Zhu
Yao Shen
Linfeng Yu
Lizeth Patricia Aguirre Sanchez
121
3
0
03 Jun 2021
Clustering-friendly Representation Learning via Instance Discrimination
  and Feature Decorrelation
Clustering-friendly Representation Learning via Instance Discrimination and Feature DecorrelationInternational Conference on Learning Representations (ICLR), 2021
Yaling Tao
Kentaro Takagi
Kouta Nakata
145
109
0
31 May 2021
Unsupervised Visual Representation Learning by Online Constrained
  K-Means
Unsupervised Visual Representation Learning by Online Constrained K-MeansComputer Vision and Pattern Recognition (CVPR), 2021
Qi Qian
Yuanhong Xu
Juhua Hu
Hao Li
Rong Jin
CMLSSL
187
43
0
24 May 2021
Two-stage Training for Learning from Label Proportions
Two-stage Training for Learning from Label ProportionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Jiabin Liu
Bo Wang
Xin Shen
Zhiquan Qi
Ying-jie Tian
192
28
0
22 May 2021
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency
  Training
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency TrainingComputer Vision and Pattern Recognition (CVPR), 2021
Luke Melas-Kyriazi
Arjun K. Manrai
157
130
0
17 May 2021
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative
  Models
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative ModelsInternational Conference on Learning Representations (ICLR), 2021
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
OCL
295
59
0
17 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated DataIEEE International Conference on Computer Vision (ICCV), 2021
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
335
110
0
17 May 2021
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
MiCE: Mixture of Contrastive Experts for Unsupervised Image ClusteringInternational Conference on Learning Representations (ICLR), 2021
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
185
75
0
05 May 2021
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
Motion-Augmented Self-Training for Video Recognition at Smaller ScaleIEEE International Conference on Computer Vision (ICCV), 2021
Kirill Gavrilyuk
Mihir Jain
I. Karmanov
Cees G. M. Snoek
155
24
0
04 May 2021
Representation Learning for Clustering via Building Consensus
Representation Learning for Clustering via Building ConsensusMachine-mediated learning (ML), 2021
A. Deshmukh
Jayanth Reddy Regatti
Eren Manavoglu
Ürün Dogan
SSL
198
9
0
04 May 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object PrototypesIEEE International Conference on Computer Vision (ICCV), 2021
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
302
63
0
29 Apr 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation
  Learning
A Large-Scale Study on Unsupervised Spatiotemporal Representation LearningComputer Vision and Pattern Recognition (CVPR), 2021
Christoph Feichtenhofer
Haoqi Fan
Bo Xiong
Ross B. Girshick
Kaiming He
SSLAI4TS
330
286
0
29 Apr 2021
Actor-centered Representations for Action Localization in Streaming
  Videos
Actor-centered Representations for Action Localization in Streaming VideosEuropean Conference on Computer Vision (ECCV), 2021
Sathyanarayanan N. Aakur
Sudeep Sarkar
306
4
0
29 Apr 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
223
71
0
27 Apr 2021
Joint Representation Learning and Novel Category Discovery on Single-
  and Multi-modal Data
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal DataIEEE International Conference on Computer Vision (ICCV), 2021
Xu Jia
Kai Han
Yukun Zhu
Bradley Green
396
73
0
26 Apr 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive
  Learning
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu
David Ferstl
S. Schulter
L. Zebedin
Pascal Fua
C. Leistner
268
41
0
22 Apr 2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
DatasetGAN: Efficient Labeled Data Factory with Minimal Human EffortComputer Vision and Pattern Recognition (CVPR), 2021
Yuxuan Zhang
Huan Ling
Jun Gao
K. Yin
Jean-Francois Lafleche
Adela Barriuso
Antonio Torralba
Sanja Fidler
3DHGANVLM
426
376
0
13 Apr 2021
Self-supervised object detection from audio-visual correspondence
Self-supervised object detection from audio-visual correspondenceComputer Vision and Pattern Recognition (CVPR), 2021
Triantafyllos Afouras
Yuki M. Asano
Francois Fagan
Andrea Vedaldi
Florian Metze
SSL
326
53
0
13 Apr 2021
All you need are a few pixels: semantic segmentation with PixelPick
All you need are a few pixels: semantic segmentation with PixelPick
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
258
51
0
13 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning
  and Strong Out-of-Domain Generalization
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2021
Daiqing Li
Junlin Yang
Karsten Kreis
Antonio Torralba
Sanja Fidler
GANMedIm
319
219
0
12 Apr 2021
Dataset Summarization by K Principal Concepts
Dataset Summarization by K Principal Concepts
Niv Cohen
Yedid Hoshen
213
1
0
08 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
379
157
0
08 Apr 2021
Graph Contrastive Clustering
Graph Contrastive ClusteringIEEE International Conference on Computer Vision (ICCV), 2021
Huasong Zhong
Yue Yu
Chong Chen
Jianqiang Huang
Minghua Deng
Liqiang Nie
Zhouchen Lin
Xiansheng Hua
161
153
0
03 Apr 2021
Learning Foreground-Background Segmentation from Improved Layered GANs
Learning Foreground-Background Segmentation from Improved Layered GANsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Yuzhou Nie
Hakan Bilen
Qiran Zou
Wing Yin Cheung
Xian-Wei Ji
GANSSeg
291
19
0
01 Apr 2021
Deep adaptive fuzzy clustering for evolutionary unsupervised
  representation learning
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Dayu Tan
Zheng Huang
Xin Peng
W. Zhong
V. Mahalec
159
24
0
31 Mar 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and
  Equivariance in Clustering
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in ClusteringComputer Vision and Pattern Recognition (CVPR), 2021
Jang Hyun Cho
Utkarsh Mall
Kavita Bala
B. Hariharan
309
226
0
30 Mar 2021
Labels4Free: Unsupervised Segmentation using StyleGAN
Labels4Free: Unsupervised Segmentation using StyleGANIEEE International Conference on Computer Vision (ICCV), 2021
Rameen Abdal
Peihao Zhu
Niloy Mitra
Peter Wonka
290
86
0
27 Mar 2021
Scaling-up Disentanglement for Image Translation
Scaling-up Disentanglement for Image TranslationIEEE International Conference on Computer Vision (ICCV), 2021
Aviv Gabbay
Yedid Hoshen
CoGe
157
22
0
25 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
258
9
0
23 Mar 2021
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic
  Segmentation
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yaoru Luo
Guole Liu
Yuanhao Guo
Ge Yang
NoLa
292
12
0
22 Mar 2021
Self-Supervised Classification Network
Self-Supervised Classification NetworkEuropean Conference on Computer Vision (ECCV), 2021
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
172
32
0
19 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive DetectionIEEE International Conference on Computer Vision (ICCV), 2021
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
248
179
0
19 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation LearningIEEE International Conference on Computer Vision (ICCV), 2021
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
292
36
0
18 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image ClusteringIEEE Transactions on Image Processing (TIP), 2021
Chuang Niu
Hongming Shan
Ge Wang
VLM
745
189
0
17 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Information Maximization Clustering via Multi-View Self-LabellingKnowledge-Based Systems (KBS), 2021
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
178
28
0
12 Mar 2021
Decorrelating Adversarial Nets for Clustering Mobile Network Data
Decorrelating Adversarial Nets for Clustering Mobile Network Data
Márton Kajó
Janik Schnellbach
Stephen S. Mwanje
Georg Carle
86
0
0
11 Mar 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and
  Disentangled Latent Representations
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent RepresentationsComputer Vision and Pattern Recognition (CVPR), 2021
Umberto Michieli
Pietro Zanuttigh
CLL
284
162
0
10 Mar 2021
Variable-rate discrete representation learning
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDLDRL
210
33
0
10 Mar 2021
Deep Superpixel Cut for Unsupervised Image Segmentation
Deep Superpixel Cut for Unsupervised Image SegmentationInternational Conference on Pattern Recognition (ICPR), 2021
Qinghong Lin
Weichan Zhong
Jianglin Lu
148
14
0
10 Mar 2021
Doubly Contrastive Deep Clustering
Doubly Contrastive Deep Clustering
Zhiyuan Dang
Cheng Deng
Xu Yang
Heng-Chiao Huang
SSL
144
17
0
09 Mar 2021
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for
  Autonomous Driving
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous DrivingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Farzeen Munir
Shoaib Azam
M. Jeon
ViT
187
44
0
04 Mar 2021
A Novel CNN-LSTM-based Approach to Predict Urban Expansion
A Novel CNN-LSTM-based Approach to Predict Urban ExpansionEcological Informatics (Ecol. Inform.), 2021
W. Boulila
Hamza Ghandorh
M. Khan
Fawad Ahmed
Jawad Ahmad
212
122
0
02 Mar 2021
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