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

Benchmark Model Rank Results
prompt-engineering-on-ucf101RPO#13Harmonic mean: 79.34
prompt-engineering-on-food-101RPO#16Harmonic mean: 90.58
prompt-engineering-on-imagenetRPO#16Harmonic mean: 74.00
prompt-engineering-on-oxford-102-flowerRPO#19Harmonic mean: 84.50
prompt-engineering-on-dtdRPO#20Harmonic mean: 68.61
prompt-engineering-on-stanford-carsRPO#20Harmonic mean: 74.69
prompt-engineering-on-sun397RPO#21Harmonic mean: 79.18
prompt-engineering-on-caltech-101RPO#23Harmonic mean: 96.03
prompt-engineering-on-eurosatRPO#24Harmonic mean: 76.79
prompt-engineering-on-oxford-iiit-pet-datasetRPO#25Harmonic mean: 96.05
prompt-engineering-on-fgvc-aircraftRPO#26Harmonic mean: 35.70