ResearchBenchmarksImage Classification on ImageNet-100 (100-20 split)Follow68AccuracyPre-train11.42426.11240.855.488Mar 18, 2024Evaluation ResultsMethodMethodLinksAccuracyH ScoreF1 ScorePre-trainBackbone=ViTBackbone=ViT2024.0368—60.5L2*Backbone=ViTBackbone=ViT2024.0364.947.622.9EWC*Backbone=ViTBackbone=ViT2024.0364.954.114.2MAS*Backbone=ViTBackbone=ViT2024.0364.95414.2GS-LORABackbone=ViTBackbone=ViT2024.036360.32.6RetrainBackbone=ViTBackbone=ViT2024.0313.622.11