Image Clustering on Imagenet-dog-15

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MAE-CT (best)	0.943	Yes	Contrastive Tuning: A Little Help to Make Masked...	2023-04-20	Code
2	MAE-CT (mean)	0.874	Yes	Contrastive Tuning: A Little Help to Make Masked...	2023-04-20	Code
3	PRO-DSC	0.84	Yes	Exploring a Principled Framework for Deep Subspa...	2025-03-21	Code
4	ProPos*	0.775	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
5	ProPos	0.745	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
6	DPAC	0.726	No	Deep Online Probability Aggregation Clustering	2024-07-07	Code
7	ConCURL	0.695	No	Representation Learning for Clustering via Build...	2021-05-04	Code
8	SPICE	0.675	No	SPICE: Semantic Pseudo-labeling for Image Cluste...	2021-03-17	Code
9	TCL	0.644	No	Twin Contrastive Learning for Online Clustering	2022-10-21	Code
10	IDFD	0.591	No	Clustering-friendly Representation Learning via ...	2021-05-31	Code
11	MiCE	0.439	No	MiCE: Mixture of Contrastive Experts for Unsuper...	2021-05-05	Code
12	C3	0.434	No	C3: Cross-instance guided Contrastive Clustering	2022-11-14	Code
13	CC	0.429	No	Contrastive Clustering	2020-09-21	Code
14	DCCM	0.383	No	Deep Comprehensive Correlation Mining for Image ...	2019-04-15	Code
15	CoHiClust	0.355	No	Contrastive Hierarchical Clustering	2023-03-03	Code
16	DAC	0.275	No	-	-	Code
17	DEC	0.195	No	Unsupervised Deep Embedding for Clustering Analy...	2015-11-19	Code
18	VAE	0.179	No	Auto-Encoding Variational Bayes	2013-12-20	Code
19	GAN	0.174	No	Unsupervised Representation Learning with Deep C...	2015-11-19	Code
20	JULE	0.138	No	Joint Unsupervised Learning of Deep Representati...	2016-04-13	Code