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Unsupervised Image Classification On Cifar 10

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
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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