ResearchBenchmarksImage Classification on iNat2018, iNat2019, Places205, Places365Follow73.5Top-1 AccuracyMixMAE69.23670.34371.4572.557May 26, 2022Evaluation ResultsMethodMethodLinksTop-1 AccuracyMixMAEBackbone=Swin-L, FLOPs...Backbone=Swin-L, FLOPs (G)=35.8, Params. (M)=2352022.0573.5MixMAEBackbone=Swin-B/W14, F...Backbone=Swin-B/W14, FLOPs (G)=16.3, Params. (M)=882022.0572.3MAEBackbone=ViT-L, FLOPs...Backbone=ViT-L, FLOPs (G)=61.3, Params. (M)=3042022.0572.1MAEBackbone=ViT-B, FLOPs...Backbone=ViT-B, FLOPs (G)=17.5, Params. (M)=862022.0569.4