Twin Contrastive Learning for Online Clustering

Benchmark Model Rank Results
image-clustering-on-cifar-10TCL#17Accuracy: 0.887NMI: 0.819ARI: 0.780Train set: Train
image-clustering-on-cifar-100TCL#9Accuracy: 0.531NMI: 0.529ARI: 0.357Train Set: Train
image-clustering-on-imagenet-10TCL#10NMI: 0.875Accuracy: 0.895ARI: 0.837
image-clustering-on-imagenet-dog-15TCL#9Accuracy: 0.644NMI: 0.623ARI: 0.516
image-clustering-on-stl-10TCL#7Accuracy: 0.868NMI: 0.799ARI: 0.757Train Split: Train
short-text-clustering-on-biomedicalTCL#1Acc: 49.8NMI: 42.9
short-text-clustering-on-stackoverflowTCL#1Acc: 88.2NMI: 0.786