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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 1–10 of 236 papers

Title	Date	Tasks	Status	Hype
Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering	Jun 11, 2025	ClusteringContrastive Learning	CodeCode Available	0
Unsupervised Deep Clustering of MNIST with Triplet-Enhanced Convolutional Autoencoders	Jun 11, 2025	ClusteringDeep Clustering	—Unverified	0
Advanced Clustering Framework for Semiconductor Image Analytics Integrating Deep TDA with Self-Supervised and Transfer Learning Techniques	May 5, 2025	ClusteringImage Clustering	—Unverified	0
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision	Mar 18, 2025	Clusteringimage-classification	—Unverified	0
Online Meta-learning for AutoML in Real-time (OnMAR)	Feb 27, 2025	AutoMLImage Clustering	—Unverified	0
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters	Feb 6, 2025	ClusteringDeep Clustering	—Unverified	0
Deep Clustering via Probabilistic Ratio-Cut Optimization	Feb 1, 2025	ClusteringDeep Clustering	CodeCode Available	0
DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering	Dec 25, 2024	ClusteringData Augmentation	—Unverified	0
Graph Cut-guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering	Dec 25, 2024	ClusteringImage Clustering	CodeCode Available	0
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames	Dec 2, 2024	ClusteringImage Clustering	CodeCode Available	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	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