ResearchBenchmarksClustering on CIFAR100 (train+test)Clustering on CIFAR100 (train+test)Follow36.2NMIMCR2-CTRL7.28814.79422.329.806Jun 15, 2020Evaluation resultsMethodMethodLinksNMIACCARIDPMCR2-CTRLBackbone=ResNet-18, mi...Backbone=ResNet-18, mini-batch size=20, number of augmentations=50, precision parameter epsilon^2=0.52020.0636.234.716.7—DCCM2020.0628.532.717.3—DAC2020.0618.523.78.7—DEC2020.0613.618.55—JULE2020.0610.313.73.3—K-MEANS2020.068.4132.8—CoHiClustInput Type=Color ImagesInput Type=Color Images2023.03———23.1