Image Clustering on Imagenet-dog-15

Metric: NMI (higher is better)

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#	Model↕	NMI▼	Extra Data	Paper	Date↕	Code
1	MAE-CT (best)	0.904	Yes	Contrastive Tuning: A Little Help to Make Masked...	2023-04-20	Code
2	MAE-CT (mean)	0.882	Yes	Contrastive Tuning: A Little Help to Make Masked...	2023-04-20	Code
3	PRO-DSC	0.812	Yes	Exploring a Principled Framework for Deep Subspa...	2025-03-21	Code
4	ProPos*	0.737	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
5	ProPos	0.692	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
6	DPAC	0.667	No	Deep Online Probability Aggregation Clustering	2024-07-07	Code
7	ConCURL	0.63	No	Representation Learning for Clustering via Build...	2021-05-04	Code
8	SPICE	0.627	No	SPICE: Semantic Pseudo-labeling for Image Cluste...	2021-03-17	Code
9	TCL	0.623	No	Twin Contrastive Learning for Online Clustering	2022-10-21	Code
10	IDFD	0.546	No	Clustering-friendly Representation Learning via ...	2021-05-31	Code
11	C3	0.448	No	C3: Cross-instance guided Contrastive Clustering	2022-11-14	Code
12	CC	0.445	No	Contrastive Clustering	2020-09-21	Code
13	MiCE	0.423	No	MiCE: Mixture of Contrastive Experts for Unsuper...	2021-05-05	Code
14	CoHiClust	0.411	No	Contrastive Hierarchical Clustering	2023-03-03	Code
15	DCCM	0.321	No	Deep Comprehensive Correlation Mining for Image ...	2019-04-15	Code
16	DAC	0.219	No	-	-	Code
17	DEC	0.122	No	Unsupervised Deep Embedding for Clustering Analy...	2015-11-19	Code
18	GAN	0.121	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code
19	VAE	0.107	No	Auto-Encoding Variational Bayes	2013-12-20	Code
20	JULE	0.054	No	Joint Unsupervised Learning of Deep Representati...	2016-04-13	Code

#1MAE-CT (best)SOTA
0.904
NMI· Extra Data· 2023-04-20
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Code
#2MAE-CT (mean)
0.882
NMI· Extra Data· 2023-04-20
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Code
#3PRO-DSC
0.812
NMI· Extra Data· 2025-03-21
Exploring a Principled Framework for Deep Subspace Clustering Code
#4ProPos*SOTA
0.737
NMI· 2021-11-23
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Code
#5ProPos
0.692
NMI· 2021-11-23
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Code
#6DPAC
0.667
NMI· 2024-07-07
Deep Online Probability Aggregation Clustering Code
#7ConCURLSOTA
0.63
NMI· 2021-05-04
Representation Learning for Clustering via Building Consensus Code
#8SPICESOTA
0.627
NMI· 2021-03-17
SPICE: Semantic Pseudo-labeling for Image Clustering Code
#9TCL
0.623
NMI· 2022-10-21
Twin Contrastive Learning for Online Clustering Code
#10IDFD
0.546
NMI· 2021-05-31
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation Code
#11C3
0.448
NMI· 2022-11-14
C3: Cross-instance guided Contrastive Clustering Code
#12CCSOTA
0.445
NMI· 2020-09-21
Contrastive Clustering Code
#13MiCE
0.423
NMI· 2021-05-05
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Code
#14CoHiClust
0.411
NMI· 2023-03-03
Contrastive Hierarchical Clustering Code
#15DCCMSOTA
0.321
NMI· 2019-04-15
Deep Comprehensive Correlation Mining for Image Clustering Code
#16DAC
0.219
NMI
No paperCode
#17DECSOTA
0.122
NMI· 2015-11-19
Unsupervised Deep Embedding for Clustering Analysis Code
#18GAN
0.121
NMI· 2015-11-19
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Code
#19VAESOTA
0.107
NMI· 2013-12-20
Auto-Encoding Variational Bayes Code
#20JULE
0.054
NMI· 2016-04-13
Joint Unsupervised Learning of Deep Representations and Image Clusters Code