Information Maximization Clustering via Multi-View Self-Labelling

Open paper

Benchmark	Model	Rank	Results
image-clustering-on-cifar-10	IMC-SwAV (Best)	#15	Accuracy: 0.897NMI: 0.818ARI: 0.8Train set: Train…
image-clustering-on-cifar-10	IMC-SwAV (Avg+-)	#16	Accuracy: 0.891NMI: 0.811ARI: 0.79Train set: Train…
image-clustering-on-cifar-100	IMC-SwAV (Best)	#10	Accuracy: 0.519NMI: 0.527ARI: 0.361Train Set: Train
image-clustering-on-cifar-100	IMC-SwAV (Avg+-)	#12	Accuracy: 0.49NMI: 0.503ARI: 0.337
image-clustering-on-stl-10	IMC-SwAV (Best)	#9	Accuracy: 0.853NMI: 0.747ARI: 0.716Train Split: Train…
image-clustering-on-stl-10	IMC-SwAV (Avg+-)	#12	Accuracy: 0.831NMI: 0.729ARI: 0.685Train Split: Train…
image-clustering-on-tiny-imagenet	IMC-SwAV (Best)	#3	Accuracy: 0.282NMI: 0.526ARI: 0.146
image-clustering-on-tiny-imagenet	IMC-SwAV (Avg+-)	#4	Accuracy: 0.279NMI: 0.485ARI: 0.143