ResearchBenchmarkskNN Classification on CIFAR-10 standard (test)kNN Classification on CIFAR-10 standard (test)Follow88.4kNN AccuracySimSiam87.67287.86188.0588.239Feb 13, 2025Evaluation resultsMethodMethodLinkskNN AccuracySimSiamTraining Protocol=Cut...Training Protocol=Cut (c = 9), Epochs=10002025.0288.4SimCLRTraining Protocol=Cut...Training Protocol=Cut (c = 3), Epochs=10002025.0288.2SimCLRTraining Protocol=Grad...Training Protocol=GradScale, Epochs=10002025.0288.2SimSiamTraining Protocol=Defa...Training Protocol=Default, Epochs=10002025.0288.1SimCLRTraining Protocol=Defa...Training Protocol=Default, Epochs=10002025.0287.7