Image Clustering on ImageNet-10

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	TAC	0.992	No	Image Clustering with External Guidance	2023-10-18	Code
2	DPAC	0.97	No	Deep Online Probability Aggregation Clustering	2024-07-07	Code
3	SPICE	0.969	No	SPICE: Semantic Pseudo-labeling for Image Cluste...	2021-03-17	Code
4	ProPos*	0.962	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
5	ConCURL	0.958	No	Representation Learning for Clustering via Build...	2021-05-04	Code
6	ProPos	0.956	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
7	IDFD	0.954	No	Clustering-friendly Representation Learning via ...	2021-05-31	Code
8	CoHiClust	0.953	No	Contrastive Hierarchical Clustering	2023-03-03	Code
9	C3	0.942	No	C3: Cross-instance guided Contrastive Clustering	2022-11-14	Code
10	TCL	0.895	No	Twin Contrastive Learning for Online Clustering	2022-10-21	Code
11	CC	0.893	No	Contrastive Clustering	2020-09-21	Code
12	MMDC	0.811	No	Multi-Modal Deep Clustering: Unsupervised Partit...	2019-12-05	Code
13	DCCM	0.71	No	Deep Comprehensive Correlation Mining for Image ...	2019-04-15	Code
14	DAC	0.527	No	-	-	Code
15	DEC	0.381	No	Unsupervised Deep Embedding for Clustering Analy...	2015-11-19	Code
16	GAN	0.346	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code
17	VAE	0.334	No	Auto-Encoding Variational Bayes	2013-12-20	Code
18	JULE	0.3	No	Joint Unsupervised Learning of Deep Representati...	2016-04-13	Code

#1TACSOTA
0.992
Accuracy· 2023-10-18
Image Clustering with External Guidance Code
#2DPAC
0.97
Accuracy· 2024-07-07
Deep Online Probability Aggregation Clustering Code
#3SPICESOTA
0.969
Accuracy· 2021-03-17
SPICE: Semantic Pseudo-labeling for Image Clustering Code
#4ProPos*
0.962
Accuracy· 2021-11-23
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Code
#5ConCURL
0.958
Accuracy· 2021-05-04
Representation Learning for Clustering via Building Consensus Code
#6ProPos
0.956
Accuracy· 2021-11-23
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Code
#7IDFD
0.954
Accuracy· 2021-05-31
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation Code
#8CoHiClust
0.953
Accuracy· 2023-03-03
Contrastive Hierarchical Clustering Code
#9C3
0.942
Accuracy· 2022-11-14
C3: Cross-instance guided Contrastive Clustering Code
#10TCL
0.895
Accuracy· 2022-10-21
Twin Contrastive Learning for Online Clustering Code
#11CCSOTA
0.893
Accuracy· 2020-09-21
Contrastive Clustering Code
#12MMDCSOTA
0.811
Accuracy· 2019-12-05
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images Code
#13DCCMSOTA
0.71
Accuracy· 2019-04-15
Deep Comprehensive Correlation Mining for Image Clustering Code
#14DAC
0.527
Accuracy
No paperCode
#15DECSOTA
0.381
Accuracy· 2015-11-19
Unsupervised Deep Embedding for Clustering Analysis Code
#16GAN
0.346
Accuracy· 2015-11-19
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Code
#17VAESOTA
0.334
Accuracy· 2013-12-20
Auto-Encoding Variational Bayes Code
#18JULE
0.3
Accuracy· 2016-04-13
Joint Unsupervised Learning of Deep Representations and Image Clusters Code