Image Clustering on CIFAR-100

Metric: ARI (higher is better)

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#	Model↕	ARI▼	Extra Data	Paper	Date↕	Code
1	TURTLE (CLIP + DINOv2)	0.834	No	Let Go of Your Labels with Unsupervised Transfer	2024-06-11	Code
2	TEMI CLIP ViT-L (openai)	0.612	Yes	Exploring the Limits of Deep Image Clustering us...	2023-03-31	Code
3	TEMI DINO ViT-B	0.533	Yes	Exploring the Limits of Deep Image Clustering us...	2023-03-31	Code
4	ITAE	0.5053	Yes	Improving Image Clustering with Artifacts Attenu...	2024-10-07	-
5	SPICE*	0.422	No	SPICE: Semantic Pseudo-labeling for Image Cluste...	2021-03-17	Code
6	SPICE-BPA	0.402	No	The Balanced-Pairwise-Affinities Feature Transform	2024-06-25	Code
7	DPAC	0.393	No	Deep Online Probability Aggregation Clustering	2024-07-07	Code
8	HUME	0.377	No	-	-	-
9	IMC-SwAV (Best)	0.361	No	Information Maximization Clustering via Multi-Vi...	2021-03-12	Code
10	TCL	0.357	No	Twin Contrastive Learning for Online Clustering	2022-10-21	Code
11	IMC-SwAV (Avg+-)	0.337	No	Information Maximization Clustering via Multi-Vi...	2021-03-12	Code
12	SCAN	0.333	No	SCAN: Learning to Classify Images without Labels	2020-05-25	Code
13	ConCURL	0.303	No	Representation Learning for Clustering via Build...	2021-05-04	Code
14	SCAN (Avg)	0.301	No	SCAN: Learning to Classify Images without Labels	2020-05-25	Code
15	CoHiClust	0.299	No	Contrastive Hierarchical Clustering	2023-03-03	Code
16	C3	0.275	No	C3: Cross-instance guided Contrastive Clustering	2022-11-14	Code
17	CC	0.266	No	Contrastive Clustering	2020-09-21	Code
18	IDFD	0.264	No	Clustering-friendly Representation Learning via ...	2021-05-31	Code

#1TURTLE (CLIP + DINOv2)SOTA
0.834
ARI· 2024-06-11
Let Go of Your Labels with Unsupervised Transfer Code
#2TEMI CLIP ViT-L (openai)SOTA
0.612
ARI· Extra Data· 2023-03-31
Exploring the Limits of Deep Image Clustering using Pretrained Models Code
#3TEMI DINO ViT-B
0.533
ARI· Extra Data· 2023-03-31
Exploring the Limits of Deep Image Clustering using Pretrained Models Code
#4ITAE
0.5053
ARI· Extra Data· 2024-10-07
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering
#5SPICE*SOTA
0.422
ARI· 2021-03-17
SPICE: Semantic Pseudo-labeling for Image Clustering Code
#6SPICE-BPA
0.402
ARI· 2024-06-25
The Balanced-Pairwise-Affinities Feature Transform Code
#7DPAC
0.393
ARI· 2024-07-07
Deep Online Probability Aggregation Clustering Code
#8HUME
0.377
ARI
No paper
#9IMC-SwAV (Best)SOTA
0.361
ARI· 2021-03-12
Information Maximization Clustering via Multi-View Self-Labelling Code
#10TCL
0.357
ARI· 2022-10-21
Twin Contrastive Learning for Online Clustering Code
#11IMC-SwAV (Avg+-)
0.337
ARI· 2021-03-12
Information Maximization Clustering via Multi-View Self-Labelling Code
#12SCANSOTA
0.333
ARI· 2020-05-25
SCAN: Learning to Classify Images without Labels Code
#13ConCURL
0.303
ARI· 2021-05-04
Representation Learning for Clustering via Building Consensus Code
#14SCAN (Avg)
0.301
ARI· 2020-05-25
SCAN: Learning to Classify Images without Labels Code
#15CoHiClust
0.299
ARI· 2023-03-03
Contrastive Hierarchical Clustering Code
#16C3
0.275
ARI· 2022-11-14
C3: Cross-instance guided Contrastive Clustering Code
#17CC
0.266
ARI· 2020-09-21
Contrastive Clustering Code
#18IDFD
0.264
ARI· 2021-05-31
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation Code