Image Clustering On Cifar 10

Metrics

ARI

Accuracy

Backbone

NMI

Train set

Results

Performance results of various models on this benchmark

Model Name	ARI	Accuracy	Backbone	NMI	Train set	Paper Title	Repository
IDFD	0.663	0.815	ResNet-18	0.711	Train+Test	Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
VAE	0.168	0.291	VAE	0.245	Train+Test	Auto-Encoding Variational Bayes
IMC-SwAV (Best)	0.8	0.897	ResNet-18	0.818	Train	Information Maximization Clustering via Multi-View Self-Labelling
PRO-DSC	-	0.972	-	0.928	-	Exploring a Principled Framework For Deep Subspace Clustering
DEC	0.161	0.301	Custom	0.25	Train+Test	Unsupervised Deep Embedding for Clustering Analysis
SCAN (Avg)	0.758	0.876	ResNet-18	0.787	Train	SCAN: Learning to Classify Images without Labels
JULE	0.138	0.272	-	0.192	Train+Test	Joint Unsupervised Learning of Deep Representations and Image Clusters
GAN	0.176	0.315	GAN	0.265	Train+Test	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
SCAN	0.772	0.883	ResNet-18	0.797	Train	SCAN: Learning to Classify Images without Labels
TURTLE (CLIP + DINOv2)	0.989	0.995	-	0.985	-	Let Go of Your Labels with Unsupervised Transfer
CoKe	0.732	0.857	ResNet-18	0.766	Train	Unsupervised Visual Representation Learning by Online Constrained K-Means
MMDC	-	0.820	ResNet18	0.703	-	Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
TAC	0.831	0.919	-	0.833	-	Image Clustering with External Guidance
DHOG	0.492	0.666	ResNet-18	0.585	Train+Test	DHOG: Deep Hierarchical Object Grouping	-
CoHiClust	0.731	0.839	ResNet-50	0.779	Train	Contrastive Hierarchical Clustering
DEC+BRB	0.812	0.906	ResNet-18	0.826	Train	Breaking the Reclustering Barrier in Centroid-based Deep Clustering
IDEC+BRB	0.818	0.907	ResNet-18	0.833	Train	Breaking the Reclustering Barrier in Centroid-based Deep Clustering
RUC	-	0.903	ResNet-18	-	-	Improving Unsupervised Image Clustering With Robust Learning
IMC-SwAV (Avg+-)	0.79	0.891	ResNet-18	0.811	Train	Information Maximization Clustering via Multi-View Self-Labelling
DAC	0.301	0.522	ConvNet	0.4	Train+Test	Deep Adaptive Image Clustering

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