Contrastive Clustering

Benchmark Model Rank Results
image-clustering-on-cifar-10CC#27Accuracy: 0.79NMI: 0.705ARI: 0.637Train set: Train+Test
image-clustering-on-cifar-100CC#18Accuracy: 0.429NMI: 0.431ARI: 0.266
image-clustering-on-imagenet-10CC#11NMI: 0.859Accuracy: 0.893ARI: 0.822Image Size: 224
image-clustering-on-imagenet-dog-15CC#13Accuracy: 0.429NMI: 0.445ARI: 0.274Image Size: 224
image-clustering-on-stl-10CC#10Accuracy: 0.85NMI: 0.764Train Split: Train+TestBackbone: ResNet34
image-clustering-on-tiny-imagenetCC#6Accuracy: 0.14NMI: 0.34ARI: 0.071