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Unsupervised Image Classification On Cifar 20

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name	Accuracy	Paper Title	Repository
CoKe	49.7	Unsupervised Visual Representation Learning by Online Constrained K-Means	-
IDEC+BRB	55.43	Breaking the Reclustering Barrier in Centroid-based Deep Clustering	-
MV-MR	73.2	MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation	-
DCN+BRB	56.92	Breaking the Reclustering Barrier in Centroid-based Deep Clustering	-
DEC+BRB	50.46	Breaking the Reclustering Barrier in Centroid-based Deep Clustering	-
PRO-DSC	71.6	Exploring a Principled Framework For Deep Subspace Clustering
SCAN	50.7	SCAN: Learning to Classify Images without Labels	-
SeCu	55.2	Stable Cluster Discrimination for Deep Clustering	-
RUC	54.3	Improving Unsupervised Image Clustering With Robust Learning	-
TSUC	35.3	Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
ScatSimCLR	63.76	ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets	-
HUME	55.5	-	-
LFER Ensemble	56.1	Loss Function Entropy Regularization for Diverse Decision Boundaries	-
IIC	25.7	Invariant Information Clustering for Unsupervised Image Classification and Segmentation	-

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Unsupervised Image Classification On Cifar 20 | SOTA | HyperAI