Read-only Prompt Optimization for Vision-Language Few-shot Learning

Benchmark Model Rank Results
prompt-engineering-on-caltech-101RPO#10Harmonic mean: 96.03
prompt-engineering-on-dtdRPO#10Harmonic mean: 68.61
prompt-engineering-on-eurosatRPO#12Harmonic mean: 76.79
prompt-engineering-on-fgvc-aircraftRPO#12Harmonic mean: 35.70
prompt-engineering-on-food-101RPO#13Harmonic mean: 90.58
prompt-engineering-on-imagenetRPO#12Harmonic mean: 74.00
prompt-engineering-on-oxford-102-flowerRPO#11Harmonic mean: 84.50
prompt-engineering-on-oxford-iiit-pet-datasetRPO#13Harmonic mean: 96.05
prompt-engineering-on-stanford-cars-1RPO#11Harmonic mean: 74.69
prompt-engineering-on-sun397RPO#12Harmonic mean: 79.18
prompt-engineering-on-ucf101RPO#12Harmonic mean: 79.34