Stable Cluster Discrimination for Deep Clustering

Benchmark Model Rank Results
image-clustering-on-cifar-10SeCu#8Accuracy: 0.93NMI: 0.861ARI: 0.857Train set: Train
image-clustering-on-imagenetSeCu#9Accuracy: 53.5NMI: 79.4ARI: 41.9
image-clustering-on-imagenetCoKe#10Accuracy: 47.6NMI: 76.2ARI: 35.6
image-clustering-on-stl-10SeCu#11Accuracy: 0.836NMI: 0.733ARI: 0.693Train Split: Train
unsupervised-image-classification-on-cifar-10SeCu#2Accuracy: 93
unsupervised-image-classification-on-cifar-20SeCu#6Accuracy: 55.2