Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation

Benchmark Model Rank Results
image-clustering-on-cifar-10IDFD#25Accuracy: 0.815NMI: 0.711ARI: 0.663Train set: Train+Test
image-clustering-on-cifar-100IDFD#19Accuracy: 0.425NMI: 0.426ARI: 0.264Train Set: Train
image-clustering-on-imagenet-10IDFD#8NMI: 0.898Accuracy: 0.954ARI: 0.901Image Size: 96
image-clustering-on-imagenet-dog-15IDFD#10Accuracy: 0.591NMI: 0.546ARI: 0.413Image Size: 96
image-clustering-on-stl-10IDFD#15Accuracy: 0.756NMI: 0.643Train Split: Train+Test