Image Clustering On Cifar 10

Métriques

ARI

Accuracy

Backbone

NMI

Train set

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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

0 of 40 row(s) selected.