Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Benchmark Model Rank Results
image-classification-on-stl-10IIC#33Percentage correct: 88.8
image-clustering-on-cifar-10IIC#29Accuracy: 0.617NMI: 0.511ARI: 0.411Train set: Train+Test
unsupervised-image-classification-on-cifar-10IIC#7Accuracy: 61.7
unsupervised-image-classification-on-cifar-20IIC#12Accuracy: 25.7
unsupervised-image-classification-on-mnistIIC#1Accuracy: 99.3
unsupervised-image-classification-on-stl-10IIC#7Accuracy: 61.00
unsupervised-semantic-segmentation-on-coco-1IIC#2Pixel Accuracy: 72.3
unsupervised-semantic-segmentation-on-coco-6IIC (ResNet-50)#4mIoU: 2.2Pixel Accuracy: 15.7
unsupervised-semantic-segmentation-on-coco-7IIC#21Clustering [Accuracy]: 21.8
unsupervised-semantic-segmentation-on-potsdam-1IIC#6Accuracy: 45.4