ResearchBenchmarkskNN Classification on ImageNet-100 standard (val)kNN Classification on ImageNet-100 standard (val)Follow67.2kNN AccuracySimSiam-1.64816.22634.151.974Feb 13, 2025Evaluation resultsMethodMethodLinkskNN AccuracySimSiamTraining Protocol=Cut...Training Protocol=Cut (c = 9), Epochs=5002025.0267.2SimSiamTraining Protocol=Defa...Training Protocol=Default, Epochs=5002025.0262SimCLRTraining Protocol=Cut...Training Protocol=Cut (c = 3), Epochs=5002025.0260.9SimCLRTraining Protocol=Defa...Training Protocol=Default, Epochs=5002025.0259.4SimCLRTraining Protocol=Grad...Training Protocol=GradScale, Epochs=5002025.021