Unsupervised Image Classification

Models that learn to label each image (i.e. cluster the dataset into its ground truth classes) without seeing the ground truth labels.

<span style="color:grey; opacity: 0.6"> Image credit: ImageNet clustering results of SCAN: Learning to Classify Images without Labels (ECCV 2020) </span>