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Unsupervised Image Classification On Cifar 10

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Accuracy
Paper TitleRepository
IPCL (ResNet18)88.81IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature Representation
SCAN-SCAN: Learning to Classify Images without Labels-
IIC-Invariant Information Clustering for Unsupervised Image Classification and Segmentation-
SeCu-Stable Cluster Discrimination for Deep Clustering-
TURTLE (CLIP + DINOv2)-Let Go of Your Labels with Unsupervised Transfer-
CoKe-Unsupervised Visual Representation Learning by Online Constrained K-Means-
RUC-Improving Unsupervised Image Clustering With Robust Learning-
TSUC-Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
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Unsupervised Image Classification On Cifar 10 | SOTA | HyperAI