ResearchBenchmarksSuperclass Classification on ImageNet-1K Superclasses (test)Follow90.22AccuracyMRL85.38486.639587.89589.1505May 26, 2022Evaluation ResultsMethodMethodLinksAccuracyMRLRep. Size=1024Rep. Size=10242022.0590.22MRLRep. Size=2048Rep. Size=20482022.0590.21MRLRep. Size=512Rep. Size=5122022.0590.18MRLRep. Size=256Rep. Size=2562022.0590.11MRLRep. Size=128Rep. Size=1282022.0589.97MRLRep. Size=64Rep. Size=642022.0589.82MRLRep. Size=32Rep. Size=322022.0589.48MRLRep. Size=16Rep. Size=162022.0588.67MRLRep. Size=8Rep. Size=82022.0585.57