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 151–175 of 236 papers

Title	Date	Tasks	Status
Boost K-Means	Oct 8, 2016	ClusteringImage Clustering	—Unverified
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification	Nov 27, 2021	ClusteringDictionary Learning	—Unverified
Bridging Distribution Learning and Image Clustering in High-dimensional Space	Aug 29, 2023	ClusteringImage Clustering	—Unverified
Spatial Sparse subspace clustering for Compressive Spectral imaging	Nov 5, 2019	ClusteringImage Clustering	—Unverified
Cluster Analysis with Deep Embeddings and Contrastive Learning	Sep 26, 2021	ClusteringContrastive Learning	—Unverified
Clustering by Maximizing Mutual Information Across Views	Jul 24, 2021	ClusteringImage Clustering	—Unverified
Clustering-friendly Representation Learning for Enhancing Salient Features	Aug 9, 2024	ClusteringContrastive Learning	—Unverified
Spectral Analysis Network for Deep Representation Learning and Image Clustering	Sep 11, 2020	ClusteringImage Clustering	—Unverified
Clustering multi-way data: a novel algebraic approach	Dec 22, 2014	ClusteringImage Clustering	—Unverified
Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment	Jan 30, 2019	ClusteringImage Clustering	—Unverified
Combining pretrained CNN feature extractors to enhance clustering of complex natural images	Jan 7, 2021	Clusteringimage-classification	—Unverified
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering	Sep 5, 2012	ClusteringImage Clustering	—Unverified
Spectral Clustering and Block Models: A Review And A New Algorithm	Aug 7, 2015	ClusteringImage Clustering	—Unverified
Contrastive learning for unsupervised medical image clustering and reconstruction	Sep 24, 2022	ClusteringContrastive Learning	—Unverified
Contrastive Mean-Shift Learning for Generalized Category Discovery	Apr 15, 2024	ClusteringContrastive Learning	—Unverified
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering	Feb 8, 2019	ClusteringDensity Estimation	—Unverified
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer	Jul 5, 2017	ClusteringImage Clustering	—Unverified
Deep Adversarial Subspace Clustering	Jun 1, 2018	ClusteringImage Clustering	—Unverified
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks	Jun 1, 2022	ClusteringContrastive Learning	—Unverified
Spectral unmixing of Raman microscopic images of single human cells using Independent Component Analysis	Oct 25, 2021	Image Clustering	—Unverified
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning	Sep 5, 2024	ClusteringDeep Clustering	—Unverified
Deep embedded clustering algorithm for clustering PACS repositories	Jun 24, 2022	ClusteringImage Clustering	—Unverified
Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering	Apr 19, 2022	Clusteringhyperspectral image clustering	—Unverified
Regression-based Hypergraph Learning for Image Clustering and Classification	Mar 14, 2016	ClassificationClustering	—Unverified
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering	Feb 2, 2016	ClassificationClustering	—Unverified

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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	HUME	Accuracy	0.56	—	Unverified
9	DPAC	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	CoHiClust	NMI	0.91	—	Unverified
6	ConCURL	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	DynAE	NMI	0.96	—	Unverified
4	N2D (UMAP)	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