Learning Domain Invariant Prompt for Vision-Language Models

Benchmark Model Rank Results
prompt-engineering-on-caltech-101MetaPrompt#7Harmonic mean: 96.32
prompt-engineering-on-dtdMetaPrompt#11Harmonic mean: 68.35
prompt-engineering-on-eurosatMetaPrompt#9Harmonic mean: 83.38
prompt-engineering-on-fgvc-aircraftMetaPrompt#10Harmonic mean: 38.24
prompt-engineering-on-food-101MetaPrompt#5Harmonic mean: 91.29
prompt-engineering-on-imagenetMetaPrompt#9Harmonic mean: 74.02
prompt-engineering-on-oxford-102-flowerMetaPrompt#10Harmonic mean: 84.52
prompt-engineering-on-oxford-iiit-pet-datasetMetaPrompt#12Harmonic mean: 96.26
prompt-engineering-on-stanford-cars-1MetaPrompt#10Harmonic mean: 75.48
prompt-engineering-on-sun397MetaPrompt#9Harmonic mean: 80.62
prompt-engineering-on-ucf101MetaPrompt#10Harmonic mean: 81.35