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 201–225 of 236 papers

Title	Date	Tasks	Status
Adaptive Low-Rank Kernel Subspace Clustering	Jul 17, 2017	ClusteringImage Clustering	CodeCode Available
CNN features are also great at unsupervised classification	Jul 6, 2017	ClassificationClustering	CodeCode Available
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer	Jul 5, 2017	ClusteringImage Clustering	—Unverified
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization	Apr 20, 2017	ClusteringDeep Clustering	CodeCode Available
Graph Regularized Tensor Sparse Coding for Image Representation	Mar 27, 2017	ClusteringImage Clustering	—Unverified
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders	Mar 23, 2017	ClusteringImage Clustering	CodeCode Available
Universal Joint Image Clustering and Registration using Partition Information	Jan 10, 2017	ClusteringImage Clustering	—Unverified
Image Clustering without Ground Truth	Oct 25, 2016	ClusteringClustering Ensemble	—Unverified
Boost K-Means	Oct 8, 2016	ClusteringImage Clustering	—Unverified
Deep Colorization	Apr 30, 2016	ClusteringColorization	CodeCode Available
Joint Unsupervised Learning of Deep Representations and Image Clusters	Apr 13, 2016	ClusteringImage Clustering	CodeCode Available
Regression-based Hypergraph Learning for Image Clustering and Classification	Mar 14, 2016	ClassificationClustering	—Unverified
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification	Mar 3, 2016	ClusteringGeneral Classification	—Unverified
Scalable Sequential Spectral Clustering	Feb 12, 2016	Clusteringgraph construction	CodeCode Available
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering	Feb 2, 2016	ClassificationClustering	—Unverified
Get More With Less: Near Real-Time Image Clustering on Mobile Phones	Dec 9, 2015	ClusteringImage Clustering	—Unverified
Web-Scale Image Clustering Revisited	Dec 1, 2015	ClusteringImage Clustering	CodeCode Available
Spectral Clustering and Block Models: A Review And A New Algorithm	Aug 7, 2015	ClusteringImage Clustering	—Unverified
Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset)	Jun 1, 2015	ClusteringImage Clustering	—Unverified
Metric Imitation by Manifold Transfer for Efficient Vision Applications	Jun 1, 2015	ClusteringImage Clustering	—Unverified
Clustering multi-way data: a novel algebraic approach	Dec 22, 2014	ClusteringImage Clustering	—Unverified
Structure Preserving Large Imagery Reconstruction	Sep 13, 2014	3D Scene ReconstructionClustering	—Unverified
Weakly supervised construction of a repository of iconic images	Aug 1, 2014	ArticlesClustering	—Unverified
Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy	May 9, 2014	ClusteringImage Clustering	—Unverified
Improving Image Clustering using Sparse Text and the Wisdom of the Crowds	May 8, 2014	ClusteringImage Clustering	—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	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