ResearchBenchmarksImage Classification on OxfordPets (unseen)Follow97.69AccuracyCoCoOp83.483687.171890.8694.5482Nov 26, 2023Evaluation ResultsMethodMethodLinksAccuracySuccess RateCoCoOpBackbone=ViT-B/16, Sho...Backbone=ViT-B/16, Shots=162023.1197.69—CLIPBackbone=ViT-B/16, mod...Backbone=ViT-B/16, mode=zero-shot2023.1197.26—CoOpBackbone=ViT-B/16, Sho...Backbone=ViT-B/16, Shots=162023.1195.29—BadCLIPBackbone=ViT-B/16, Sho...Backbone=ViT-B/16, Shots=16, Context length=4, Maximum noise strength (epsilon)=42023.1184.0399.23