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SCAN: Learning to Classify Images without Labels

SCAN: Learning to Classify Images without Labels

25 May 2020
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
M. Proesmans
Luc Van Gool
    VLM
    SSL
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Papers citing "SCAN: Learning to Classify Images without Labels"

50 / 106 papers shown
Title
On the Robustness of Deep Clustering Models: Adversarial Attacks and
  Defenses
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Anshuman Chhabra
Ashwin Sekhari
P. Mohapatra
OOD
AAML
37
8
0
04 Oct 2022
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
32
9
0
04 Oct 2022
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
Zhiwen Fan
Peihao Wang
Yifan Jiang
Xinyu Gong
Dejia Xu
Zhangyang Wang
99
63
0
19 Sep 2022
Refine and Represent: Region-to-Object Representation Learning
Refine and Represent: Region-to-Object Representation Learning
Akash Gokul
Konstantinos Kallidromitis
Shufang Li
Yu Kato
Kazuki Kozuka
Trevor Darrell
Colorado Reed
SSeg
29
5
0
25 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
36
113
0
24 Aug 2022
Semantic-Enhanced Image Clustering
Semantic-Enhanced Image Clustering
Shao-Qian Cai
Li-qing Qiu
Xiaojun Chen
Qin Zhang
Long Chen
VLM
29
13
0
21 Aug 2022
Unsupervised Learning under Latent Label Shift
Unsupervised Learning under Latent Label Shift
Manley Roberts
P. Mani
Saurabh Garg
Zachary Chase Lipton
OOD
41
9
0
26 Jul 2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric
  Representations
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk
Matthaeus Kleindessner
Yi Zhu
Francesco Locatello
Thomas Brox
22
49
0
11 Jul 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
47
44
0
05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
F. Khan
M. Shah
27
49
0
05 Jul 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
76
19
1
16 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
34
55
0
13 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
32
3
0
25 May 2022
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
26
40
0
25 May 2022
Unsupervised Learning of Unbiased Visual Representations
Unsupervised Learning of Unbiased Visual Representations
C. Barbano
Enzo Tartaglione
Marco Grangetto
SSL
CML
OOD
21
1
0
26 Apr 2022
Self-distillation Augmented Masked Autoencoders for Histopathological
  Image Classification
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification
Yang Luo
Zhineng Chen
Shengtian Zhou
Xieping Gao
25
1
0
31 Mar 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
16
40
0
20 Mar 2022
Bridge the Gap between Supervised and Unsupervised Learning for
  Fine-Grained Classification
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification
Jiabao Wang
Yang Li
Xiu-Shen Wei
Hang Li
Zhuang Miao
Rui Zhang
29
8
0
01 Mar 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip H. S. Torr
Adam R. Kosiorek
SSL
56
82
0
31 Jan 2022
Representation Learning via Consistent Assignment of Views to Clusters
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
6
8
0
31 Dec 2021
InsCLR: Improving Instance Retrieval with Self-Supervision
InsCLR: Improving Instance Retrieval with Self-Supervision
Zelu Deng
Yujie Zhong
Sheng Guo
Weilin Huang
20
13
0
02 Dec 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object
  Segmentation
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
Laurynas Karazija
Iro Laina
Christian Rupprecht
3DV
VOS
27
84
0
19 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
19
709
0
15 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
SSL
ViT
25
2
0
08 Nov 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with
  Noisy Labels
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
22
18
0
22 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
52
16
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
39
17
0
13 Oct 2021
A Relation-Oriented Clustering Method for Open Relation Extraction
A Relation-Oriented Clustering Method for Open Relation Extraction
Jun Zhao
Tao Gui
Qi Zhang
Yaqian Zhou
37
33
0
15 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
17
3
0
11 Sep 2021
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
R. Gong
Martin Danelljan
Dengxin Dai
D. Paudel
Ajad Chhatkuli
F. I. F. Richard Yu
Luc Van Gool
36
9
0
10 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
11
13
0
24 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
19
0
0
19 Aug 2021
Generalized Source-free Domain Adaptation
Generalized Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
19
252
0
03 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 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
13
123
0
29 Jun 2021
Multi-level Feature Learning for Contrastive Multi-view Clustering
Multi-level Feature Learning for Contrastive Multi-view Clustering
Jie Xu
Huayi Tang
Yazhou Ren
Liang Peng
Xiao-lan Zhu
Lifang He
24
160
0
21 Jun 2021
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise
  Labels
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels
I. Karmanov
F. G. Zanjani
S. Merlin
I. Kadampot
Daniel Dijkman
13
14
0
31 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
14
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
11
53
0
29 Apr 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
21
191
0
30 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
27
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
19
13
0
15 Feb 2021
On Initial Pools for Deep Active Learning
On Initial Pools for Deep Active Learning
Akshay L Chandra
Sai Vikas Desai
Chaitanya Devaguptapu
V. Balasubramanian
19
19
0
30 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
24
68
0
25 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
25
28
0
25 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
16
240
0
25 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
20
13
0
08 Nov 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
29
628
0
02 Oct 2020
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