SCAN: Learning to Classify Images without Labels

Benchmark Model Rank Results
image-clustering-on-cifar-10SCAN#18Accuracy: 0.883NMI: 0.797ARI: 0.772Train set: Train
image-clustering-on-cifar-10SCAN (Avg)#19Accuracy: 0.876NMI: 0.787ARI: 0.758Train set: Train
image-clustering-on-cifar-100SCAN#11Accuracy: 0.507NMI: 0.486ARI: 0.333Train Set: Train
image-clustering-on-cifar-100SCAN (Avg)#14Accuracy: 0.459NMI: 0.468ARI: 0.301Train Set: Train
image-clustering-on-imagenetSCAN#11Accuracy: 39.9NMI: 72.0
image-clustering-on-imagenet-100SCAN#4NMI: 0.787ACCURACY: 0.662ARI: 0.544
image-clustering-on-imagenet-200SCAN#4NMI: 0.757ACCURACY: 0.563ARI: 0.441
image-clustering-on-imagenet-50-1SCAN#4NMI: 0.805ACCURACY: 0.751ARI: 0.635
image-clustering-on-stl-10SCAN#13Accuracy: 0.809NMI: 0.698Train Split: TrainBackbone: ResNet-18
image-clustering-on-stl-10SCAN (Avg)#14Accuracy: 0.767NMI: 0.680Train Split: TrainBackbone: ResNet-18
semi-supervised-image-classification-on-1SCAN (ResNet-50|Unsupervised)#47Top 1 Accuracy: 39.90%Top 5 Accuracy: 60.0%
unsupervised-image-classification-on-cifar-10SCAN#4Accuracy: 88.3
unsupervised-image-classification-on-cifar-20SCAN#8Accuracy: 50.7
unsupervised-image-classification-on-imagenetSCAN (ResNet-50)#6Accuracy (%): 39.9ARI: 27.5
unsupervised-image-classification-on-stl-10SCAN#5Accuracy: 80.90