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Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

17 July 2018
Xu Ji
João F. Henriques
Andrea Vedaldi
    SSL
    VLM
ArXivPDFHTML

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

50 / 184 papers shown
Title
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
32
42
0
29 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
55
17
0
14 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels
  with Overclustering and Inverse Cross-Entropy
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
47
17
0
13 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
149
62
0
12 Oct 2021
Colour augmentation for improved semi-supervised semantic segmentation
Colour augmentation for improved semi-supervised semantic segmentation
Geoff French
Michal Mackiewicz
19
3
0
09 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised
  Representation Learning
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Uçar
Ehsan Hajiramezanali
Lindsay Edwards
LMTD
SSL
39
124
0
08 Oct 2021
Dense Semantic Contrast for Self-Supervised Visual Representation
  Learning
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Xiaoni Li
Yu Zhou
Yifei Zhang
Aoting Zhang
Wei Wang
Ning Jiang
Haiying Wu
Weiping Wang
SSL
19
40
0
16 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
27
3
0
11 Sep 2021
ScatSimCLR: self-supervised contrastive learning with pretext task
  regularization for small-scale datasets
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
Vitaliy Kinakh
O. Taran
S. Voloshynovskiy
38
12
0
31 Aug 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-xiong Wang
38
167
0
20 Aug 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature
  Learning
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Anjan Dutta
Massimiliano Mancini
Zeynep Akata
SSL
22
0
0
19 Aug 2021
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
41
168
0
19 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural
  Networks
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks
El Mehdi Achour
Franccois Malgouyres
Franck Mamalet
16
20
0
12 Aug 2021
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
39
24
0
11 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition
M2IOSR: Maximal Mutual Information Open Set Recognition
Xin Sun
Henghui Ding
Chi Zhang
Guosheng Lin
K. Ling
23
17
0
05 Aug 2021
Clustering by Maximizing Mutual Information Across Views
Clustering by Maximizing Mutual Information Across Views
Kien Do
T. Tran
Svetha Venkatesh
VLM
SSL
11
37
0
24 Jul 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image
  Segmentation
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
Euijoon Ahn
D. Feng
Jinman Kim
28
26
0
11 Jul 2021
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 clustering
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Claudius Zelenka
R. Kiko
J. Stracke
N. Volkmann
Reinhard Koch
30
10
0
30 Jun 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
24
124
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
Xingru Huang
Huiyu Zhou
Qianni Zhang
33
31
0
25 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
40
209
0
17 Jun 2021
Fairness-Aware Node Representation Learning
Fairness-Aware Node Representation Learning
Öykü Deniz Köse
Yanning Shen
22
22
0
09 Jun 2021
Enabling On-Device Self-Supervised Contrastive Learning With Selective
  Data Contrast
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
41
27
0
07 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu
E. Sangineto
Wei Bi
N. Sebe
Bruno Lepri
Marco De Nadai
ViT
36
167
0
07 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
38
84
0
06 Jun 2021
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative
  Models
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
OCL
38
53
0
17 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
64
96
0
17 May 2021
Representation Learning for Clustering via Building Consensus
Representation Learning for Clustering via Building Consensus
A. Deshmukh
Jayanth Reddy Regatti
Eren Manavoglu
Ürün Dogan
SSL
24
9
0
04 May 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object Prototypes
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
16
53
0
29 Apr 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation
  Learning
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer
Haoqi Fan
Bo Xiong
Ross B. Girshick
Kaiming He
SSL
AI4TS
39
257
0
29 Apr 2021
Actor-centered Representations for Action Localization in Streaming
  Videos
Actor-centered Representations for Action Localization in Streaming Videos
Sathyanarayanan N. Aakur
Sudeep Sarkar
32
3
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 Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
89
61
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 Data
Xu Jia
Kai Han
Yukun Zhu
Bradley Green
155
57
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
94
38
0
22 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
27
42
0
13 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
39
139
0
08 Apr 2021
Deep adaptive fuzzy clustering for evolutionary unsupervised
  representation learning
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
Dayu Tan
Zheng Huang
Xin Peng
W. Zhong
V. Mahalec
30
11
0
31 Mar 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and
  Equivariance in Clustering
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho
Utkarsh Mall
Kavita Bala
B. Hariharan
26
191
0
30 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
37
9
0
23 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLM
SSL
38
162
0
19 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
29
33
0
18 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
29
144
0
17 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
16
25
0
12 Mar 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
32
13
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
32
9
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 Labels
Zhaowei Zhu
Yiwen Song
Yang Liu
NoLa
18
91
0
10 Feb 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
32
18
0
14 Jan 2021
A Framework for Deep Constrained Clustering
A Framework for Deep Constrained Clustering
Hongjing Zhang
Tianyang Zhan
Sugato Basu
Ian Davidson
24
31
0
07 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
131
268
0
07 Jan 2021
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
47
29
0
14 Dec 2020
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