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Unsupervised Image Classification On Cifar 20

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	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