Image Clustering

Models that partition the dataset into semantically meaningful clusters without having access to the ground truth labels.

Image credit: ImageNet clustering results of SCAN: Learning to Classify Images without Labels (ECCV 2020)

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 236 papers

Title	Date	Tasks	Status	Hype	Score
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation	May 31, 2021	ClusteringDeep Clustering	CodeCode Available	1	5
Information Maximization Clustering via Multi-View Self-Labelling	Mar 12, 2021	ClusteringImage Classification	CodeCode Available	1	5
Deep Image Clustering with Category-Style Representation	Jul 20, 2020	ClusteringDeep Clustering	CodeCode Available	1	5
HIRL: A General Framework for Hierarchical Image Representation Learning	May 26, 2022	Image ClusteringRepresentation Learning	CodeCode Available	1	5
Stable Cluster Discrimination for Deep Clustering	Nov 24, 2023	ClusteringDeep Clustering	CodeCode Available	1	5
Unsupervised Deep Embedding for Clustering Analysis	Nov 19, 2015	ClusteringImage Clustering	CodeCode Available	1	5
CNN features are also great at unsupervised classification	Jul 6, 2017	ClassificationClustering	CodeCode Available	0	5
Deep Subspace Clustering Networks	Sep 8, 2017	ClusteringDecoder	CodeCode Available	0	5
Deep Structure and Attention Aware Subspace Clustering	Dec 25, 2023	ClusteringDeep Clustering	CodeCode Available	0	5
Learning Hierarchical Graph Neural Networks for Image Clustering	Jul 3, 2021	ClusteringFace Clustering	CodeCode Available	0	5
Clustering Without Knowing How To: Application and Evaluation	Sep 21, 2022	ClusteringImage Clustering	CodeCode Available	0	5
Joint Unsupervised Learning of Deep Representations and Image Clusters	Apr 13, 2016	ClusteringImage Clustering	CodeCode Available	0	5
Deep Online Probability Aggregation Clustering	Jul 7, 2024	ClusteringDeep Clustering	CodeCode Available	0	5
Deep Multimodal Subspace Clustering Networks	Apr 17, 2018	ClusteringDecoder	CodeCode Available	0	5
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames	Dec 2, 2024	ClusteringImage Clustering	CodeCode Available	0	5
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning	Nov 15, 2021	ClusteringContrastive Learning	CodeCode Available	0	5
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction	Jan 24, 2024	ClusteringContrastive Learning	CodeCode Available	0	5
Leveraging tensor kernels to reduce objective function mismatch in deep clustering	Jan 20, 2020	ClusteringDeep Clustering	CodeCode Available	0	5
Interpretable Visualizations with Differentiating Embedding Networks	Jun 11, 2020	ClusteringImage Clustering	CodeCode Available	0	5
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric	Sep 26, 2022	ClusteringFairness	CodeCode Available	0	5
Deep Density-based Image Clustering	Dec 11, 2018	ClusteringDeep Clustering	CodeCode Available	0	5
Deep Comprehensive Correlation Mining for Image Clustering	Apr 15, 2019	ClusteringDeep Clustering	CodeCode Available	0	5
Improving k-Means Clustering Performance with Disentangled Internal Representations	Jun 5, 2020	ClusteringDeep Clustering	CodeCode Available	0	5
Deep Colorization	Apr 30, 2016	ClusteringColorization	CodeCode Available	0	5
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction	Jan 23, 2019	ClusteringDeep Clustering	CodeCode Available	0	5

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All datasets CIFAR-10 CIFAR-100 STL-10 Imagenet-dog-15 ImageNet-10 MNIST-full USPS Tiny ImageNet Fashion-MNIST ImageNet MNIST-test coil-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	1	—	Unverified
2	PRCut (CLIP)	Accuracy	0.98	—	Unverified
3	PRO-DSC	Accuracy	0.97	—	Unverified
4	TEMI CLIP ViT-L (openai)	Accuracy	0.97	—	Unverified
5	DPAC	Accuracy	0.93	—	Unverified
6	SPICE-BPA	Accuracy	0.93	—	Unverified
7	SeCu	Accuracy	0.93	—	Unverified
8	TAC	Accuracy	0.92	—	Unverified
9	SPICE*	Accuracy	0.92	—	Unverified
10	DCN+BRB	Accuracy	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	0.9	—	Unverified
2	PRCut (DinoV2)	Accuracy	0.79	—	Unverified
3	PRO-DSC	Accuracy	0.77	—	Unverified
4	TEMI CLIP ViT-L (openai)	Accuracy	0.74	—	Unverified
5	TEMI DINO ViT-B	Accuracy	0.67	—	Unverified
6	ITAE	Accuracy	0.65	—	Unverified
7	SPICE*	Accuracy	0.58	—	Unverified
8	DPAC	Accuracy	0.56	—	Unverified
9	HUME	Accuracy	0.56	—	Unverified
10	SPICE-BPA	Accuracy	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	1	—	Unverified
2	TEMI DINO ViT-B	Accuracy	0.99	—	Unverified
3	TAC	Accuracy	0.98	—	Unverified
4	SPICE-BPA	Accuracy	0.94	—	Unverified
5	DPAC	Accuracy	0.93	—	Unverified
6	SPICE*	Accuracy	0.93	—	Unverified
7	HUME	Accuracy	0.91	—	Unverified
8	TCL	Accuracy	0.87	—	Unverified
9	RUC	Accuracy	0.87	—	Unverified
10	IMC-SwAV (Best)	Accuracy	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MAE-CT (best)	Accuracy	0.94	—	Unverified
2	MAE-CT (mean)	Accuracy	0.87	—	Unverified
3	PRO-DSC	Accuracy	0.84	—	Unverified
4	ProPos*	Accuracy	0.78	—	Unverified
5	ProPos	Accuracy	0.75	—	Unverified
6	DPAC	Accuracy	0.73	—	Unverified
7	ConCURL	Accuracy	0.7	—	Unverified
8	SPICE	Accuracy	0.68	—	Unverified
9	TCL	Accuracy	0.64	—	Unverified
10	IDFD	Accuracy	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAC	NMI	0.99	—	Unverified
2	SPICE	NMI	0.93	—	Unverified
3	DPAC	NMI	0.93	—	Unverified
4	ProPos*	NMI	0.91	—	Unverified
5	ConCURL	NMI	0.91	—	Unverified
6	CoHiClust	NMI	0.91	—	Unverified
7	C3	NMI	0.91	—	Unverified
8	IDFD	NMI	0.9	—	Unverified
9	ProPos	NMI	0.9	—	Unverified
10	TCL	NMI	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SPC	NMI	0.98	—	Unverified
2	ADEC	NMI	0.97	—	Unverified
3	N2D (UMAP)	NMI	0.96	—	Unverified
4	DynAE	NMI	0.96	—	Unverified
5	DDC-DA	NMI	0.96	—	Unverified
6	DEN	NMI	0.96	—	Unverified
7	DTI-Clustering	NMI	0.94	—	Unverified
8	EnSC	NMI	0.94	—	Unverified
9	ClusterGAN	NMI	0.94	—	Unverified
10	DBC	NMI	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SPC	NMI	0.95	—	Unverified
2	DynAE	NMI	0.95	—	Unverified
3	DEN	NMI	0.94	—	Unverified
4	DDC-DA	NMI	0.94	—	Unverified
5	SR-K-means	NMI	0.94	—	Unverified
6	ClusterGAN	NMI	0.93	—	Unverified
7	DMSC	NMI	0.93	—	Unverified
8	DDC	NMI	0.92	—	Unverified
9	JULE-RC	NMI	0.91	—	Unverified
10	N2D (UMAP)	NMI	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PRO-DSC	Accuracy	0.7	—	Unverified
2	ITAE	Accuracy	0.68	—	Unverified
3	SPICE	Accuracy	0.31	—	Unverified
4	IMC-SwAV (Best)	Accuracy	0.28	—	Unverified
5	IMC-SwAV (Avg+-)	Accuracy	0.28	—	Unverified
6	C3	Accuracy	0.14	—	Unverified
7	CC	Accuracy	0.14	—	Unverified
8	MMDC	Accuracy	0.12	—	Unverified
9	DCCM	Accuracy	0.11	—	Unverified
10	DAC	Accuracy	0.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PRCut (DinoV2)	Accuracy	0.79	—	Unverified
2	VMM	Accuracy	0.72	—	Unverified
3	SPC	Accuracy	0.68	—	Unverified
4	N2D (UMAP)	Accuracy	0.67	—	Unverified
5	CoHiClust	Accuracy	0.65	—	Unverified
6	DEN	Accuracy	0.64	—	Unverified
7	PSSC	Accuracy	0.63	—	Unverified
8	GDL	Accuracy	0.63	—	Unverified
9	DDC	Accuracy	0.62	—	Unverified
10	DTI-Clustering	Accuracy	0.61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TURTLE (CLIP + DINOv2)	Accuracy	72.9	—	Unverified
2	MIM-Refiner (D2V2-ViT-H/14)	Accuracy	67.3	—	Unverified
3	SeLa	NMI	66.4	—	Unverified
4	PRO-DSC	Accuracy	65	—	Unverified
5	MIM-Refiner (MAE-ViT-H/14)	Accuracy	64.6	—	Unverified