Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation

Benchmark Model Rank Results
image-clustering-on-imagenet-10IDFD#9NMI: 0.898Accuracy: 0.954ARI: 0.901Image Size: 96
image-clustering-on-imagenet-dog-15IDFD#12Accuracy: 0.591NMI: 0.546ARI: 0.413Image Size: 96
image-clustering-on-stl-10IDFD#16Accuracy: 0.756NMI: 0.643Train Split: Train+Test…
image-clustering-on-cifar-100IDFD#21Accuracy: 0.425NMI: 0.426ARI: 0.264Train Set: Train
image-clustering-on-cifar-10IDFD#28Accuracy: 0.815NMI: 0.711ARI: 0.663Train set: Train+Test…