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 76–100 of 236 papers

Title	Date	Tasks	Status
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques	May 5, 2025	ClusteringImage Clustering	—Unverified
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches	Jul 6, 2020	Clusteringimage-classification	—Unverified
Memoized Online Variational Inference for Dirichlet Process Mixture Models	Dec 1, 2013	ClusteringDenoising	—Unverified
Interpretable Image Clustering via Diffeomorphism-Aware K-Means	Dec 16, 2020	ClusteringImage Clustering	—Unverified
Cluster Analysis with Deep Embeddings and Contrastive Learning	Sep 26, 2021	ClusteringContrastive Learning	—Unverified
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning	Sep 5, 2024	ClusteringDeep Clustering	—Unverified
GAN-EM: GAN based EM learning framework	Dec 2, 2018	ClusteringDimensionality Reduction	—Unverified
Quantum Block-Matching Algorithm using Dissimilarity Measure	Sep 27, 2023	ClusteringImage Clustering	—Unverified
Joint Debiased Representation and Image Clustering Learning with Self-Supervision	Sep 14, 2022	ClusteringContrastive Learning	—Unverified
Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability	Jul 2, 2024	Image Clustering	—Unverified
Fully Automated Binary Pattern Extraction For Finger Vein Identification using Double Optimization Stages-Based Unsupervised Learning Approach	May 8, 2022	Deep LearningImage Clustering	—Unverified
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks	Jun 1, 2022	ClusteringContrastive Learning	—Unverified
Filtering Abstract Senses From Image Search Results	Dec 1, 2009	ClusteringImage Clustering	—Unverified
Get More With Less: Near Real-Time Image Clustering on Mobile Phones	Dec 9, 2015	ClusteringImage Clustering	—Unverified
Graph-based Multi-view Binary Learning for Image Clustering	Dec 11, 2019	ClusteringGraph Embedding	—Unverified
Bridging Distribution Learning and Image Clustering in High-dimensional Space	Aug 29, 2023	ClusteringImage Clustering	—Unverified
Improving Image Clustering using Sparse Text and the Wisdom of the Crowds	May 8, 2014	ClusteringImage Clustering	—Unverified
Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy	May 9, 2014	ClusteringImage Clustering	—Unverified
Graph Regularized Tensor Sparse Coding for Image Representation	Mar 27, 2017	ClusteringImage Clustering	—Unverified
Featuring the topology with the unsupervised machine learning	Aug 1, 2019	BIG-bench Machine LearningClustering	—Unverified
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering	Sep 17, 2018	ClusteringImage Clustering	—Unverified
Deep Adversarial Subspace Clustering	Jun 1, 2018	ClusteringImage Clustering	—Unverified
HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction	Jan 18, 2021	ClusteringDimensionality Reduction	—Unverified
Clustering-friendly Representation Learning for Enhancing Salient Features	Aug 9, 2024	ClusteringContrastive Learning	—Unverified
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization	Jan 25, 2023	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	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