Self-labelling via simultaneous clustering and representation learning

Benchmark Model Rank Results
contrastive-learning-on-imagenet-1kResNet50#8ImageNet Top-1 Accuracy: 61.5
image-clustering-on-imagenetSeLa#12NMI: 66.4
self-supervised-image-classification-on-imagenetSeLa (ResNet50) (arxiv 3)#112Top 1 Accuracy: 61.5%Top 5 Accuracy: 84.0%Number of Params: 24M
self-supervised-image-classification-on-imagenetSeLa (ResNet50)#122Top 1 Accuracy: 55.7%Top 5 Accuracy: 79.5%Number of Params: 24M
self-supervised-image-classification-on-imagenetSeLa (AlexNet) (arxiv v3)#126Top 1 Accuracy: 50.0%Number of Params: 61M