Joint Unsupervised Learning of Deep Representations and Image Clusters

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Benchmark	Model	Rank	Results
image-clustering-on-cifar-10	JULE	#35	Accuracy: 0.272NMI: 0.192ARI: 0.138Train set: Train+Test
image-clustering-on-cifar-100	JULE	#27	Accuracy: 0.137NMI: 0.103Train Set: Train+Test
image-clustering-on-coil-100	JULE-RC	#3	NMI: 0.985
image-clustering-on-imagenet-10	JULE	#18	NMI: 0.175Accuracy: 0.300
image-clustering-on-imagenet-dog-15	JULE	#20	Accuracy: 0.138NMI: 0.054
image-clustering-on-mnist-full	JULE-RC	#11	NMI: 0.917Accuracy: 0.964
image-clustering-on-mnist-test	OURS-RC	#6	NMI: 0.915
image-clustering-on-stanford-cars	JULE	#5	Accuracy: 0.046NMI: 0.232
image-clustering-on-stl-10	JULE	#27	Accuracy: 0.277NMI: 0.182Train Split: Train+Test
image-clustering-on-tiny-imagenet	JULE	#13	Accuracy: 0.033NMI: 0.102
image-clustering-on-umist	JULE-RC	#3	NMI: 0.877
image-clustering-on-usps	JULE-RC	#8	NMI: 0.913