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 101–125 of 236 papers

Title	Date	Tasks	Status	Score
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders	Mar 23, 2017	ClusteringImage Clustering	CodeCode Available	5
Decipherment of Historical Manuscript Images	Oct 9, 2018	ClusteringDecipherment	CodeCode Available	5
Deep Adaptive Image Clustering	Oct 1, 2017	ClusteringImage Clustering	CodeCode Available	5
Joint Unsupervised Learning of Deep Representations and Image Clusters	Apr 13, 2016	ClusteringImage Clustering	CodeCode Available	5
Deep Online Probability Aggregation Clustering	Jul 7, 2024	ClusteringDeep Clustering	CodeCode Available	5
Relative Pairwise Relationship Constrained Non-negative Matrix Factorisation	Mar 5, 2018	ClusteringImage Clustering	CodeCode Available	5
Representation Learning for Clustering via Building Consensus	May 4, 2021	ClusteringData Augmentation	CodeCode Available	5
Deep clustering: On the link between discriminative models and K-means	Oct 9, 2018	ClusteringDeep Clustering	CodeCode Available	5
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization	Apr 20, 2017	ClusteringDeep Clustering	CodeCode Available	5
Deep Clustering via Probabilistic Ratio-Cut Optimization	Feb 1, 2025	ClusteringDeep Clustering	CodeCode Available	5
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction	Jan 23, 2019	ClusteringDeep Clustering	CodeCode Available	5
Deep Colorization	Apr 30, 2016	ClusteringColorization	CodeCode Available	5
Deep Comprehensive Correlation Mining for Image Clustering	Apr 15, 2019	ClusteringDeep Clustering	CodeCode Available	5
Deep Density-based Image Clustering	Dec 11, 2018	ClusteringDeep Clustering	CodeCode Available	5
Rethinking cluster-conditioned diffusion models for label-free image synthesis	Mar 1, 2024	ClusteringConditional Image Generation	CodeCode Available	5
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric	Sep 26, 2022	ClusteringFairness	CodeCode Available	5
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning	Aug 7, 2019	ClusteringDecoder	CodeCode Available	5
Leveraging tensor kernels to reduce objective function mismatch in deep clustering	Jan 20, 2020	ClusteringDeep Clustering	CodeCode Available	5
Deep Multimodal Subspace Clustering Networks	Apr 17, 2018	ClusteringDecoder	CodeCode Available	5
One Stage Autoencoders for Multi-Domain Learning	Sep 29, 2021	ClusteringImage Clustering	—Unverified	0
Online Meta-learning for AutoML in Real-time (OnMAR)	Feb 27, 2025	AutoMLImage Clustering	—Unverified	0
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision	Mar 18, 2025	Clusteringimage-classification	—Unverified	0
Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures	Jan 22, 2022	Image Clustering	—Unverified	0
Universal Joint Image Clustering and Registration using Partition Information	Jan 10, 2017	ClusteringImage Clustering	—Unverified	0
Out-of-Distribution Detection Without Class Labels	Dec 14, 2021	Anomaly DetectionClustering	—Unverified	0

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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	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	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