ResearchBenchmarksImage Classification on OxfordPets (seen)Follow95.2AccuracyCoCoOp91.008892.096993.18594.2731Nov 26, 2023Evaluation ResultsMethodMethodLinksAccuracyASRCoCoOpBackbone=ViT-B/16, Sho...Backbone=ViT-B/16, Shots=162023.1195.2—BadCLIPBackbone=ViT-B/16, Sho...Backbone=ViT-B/16, Shots=16, Context length=4, Maximum noise strength (epsilon)=42023.1193.8798.7CoOpBackbone=ViT-B/16, Sho...Backbone=ViT-B/16, Shots=162023.1193.67—CLIPBackbone=ViT-B/16, mod...Backbone=ViT-B/16, mode=zero-shot2023.1191.17—