Contrastive Hierarchical Clustering

Benchmark Model Rank Results
image-clustering-on-cifar-10CoHiClust#22Accuracy: 0.839NMI: 0.779ARI: 0.731Train set: Train
image-clustering-on-cifar-100CoHiClust#17Accuracy: 0.437NMI: 0.467ARI: 0.299
image-clustering-on-fashion-mnistCoHiClust#5Accuracy: 0.65
image-clustering-on-imagenet-10CoHiClust#6NMI: 0.907Accuracy: 0.953ARI: 0.899Backbone: ResNet-50
image-clustering-on-imagenet-dog-15CoHiClust#15Accuracy: 0.355NMI: 0.411ARI: 0.232Backbone: ResNet-50
image-clustering-on-mnistCoHiClust#1Accuracy: 0.99
image-clustering-on-stl-10CoHiClust#20Accuracy: 0.613NMI: 0.584ARI: 0.474Backbone: ResNet-50