Deep Clustering for Unsupervised Learning of Visual Features

Benchmark Model Rank Results
image-clustering-on-cifar-10DeepCluster#31Accuracy: 0.374Train set: Train+TestBackbone: ResNet-34
image-clustering-on-cifar-100DeeperCluster#23Accuracy: 0.189Train Set: Train+Test
self-supervised-image-classification-on-imagenetDeepCluster (AlexNet)#131Top 1 Accuracy: 41.0Number of Params: 61M
unsupervised-semantic-segmentation-on-6MDC (Supervised pretrain)#5mIoU (test): 14.3mIoU (val): 14.6
unsupervised-semantic-segmentation-on-cityscapesMDC#12mIoU: 7.1Accuracy: 40.7