Image Clustering on Imagenet-dog-15

Metric: Image Size (higher is better)

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#	Model↕	Image Size▼	Extra Data	Paper	Date↕	Code
1	MAE-CT (best)	224	Yes	Contrastive Tuning: A Little Help to Make Masked...	2023-04-20	Code
2	MAE-CT (mean)	224	Yes	Contrastive Tuning: A Little Help to Make Masked...	2023-04-20	Code
3	ProPos*	224	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
4	CC	224	No	Contrastive Clustering	2020-09-21	Code
5	ProPos	96	No	Learning Representation for Clustering via Proto...	2021-11-23	Code
6	IDFD	96	No	Clustering-friendly Representation Learning via ...	2021-05-31	Code
7	MiCE	96	No	MiCE: Mixture of Contrastive Experts for Unsuper...	2021-05-05	Code

#1MAE-CT (best)
224
Image Size· Extra Data· 2023-04-20
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Code
#2MAE-CT (mean)
224
Image Size· Extra Data· 2023-04-20
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Code
#3ProPos*
224
Image Size· 2021-11-23
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Code
#4CCSOTA
224
Image Size· 2020-09-21
Contrastive Clustering Code
#5ProPos
96
Image Size· 2021-11-23
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Code
#6IDFD
96
Image Size· 2021-05-31
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation Code
#7MiCE
96
Image Size· 2021-05-05
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering Code