Prompt Learning via Meta-Regularization

Benchmark Model Rank Results
prompt-engineering-on-caltech-101ProMetaR#9Harmonic mean: 96.16
prompt-engineering-on-dtdProMetaR#6Harmonic mean: 72.31
prompt-engineering-on-eurosatProMetaR#6Harmonic mean: 85.30
prompt-engineering-on-fgvc-aircraftProMetaR#7Harmonic mean: 40.25
prompt-engineering-on-food-101ProMetaR#4Harmonic mean: 91.34
prompt-engineering-on-imagenetProMetaR#8Harmonic mean: 74.09
prompt-engineering-on-oxford-102-flowerProMetaR#5Harmonic mean: 86.70
prompt-engineering-on-oxford-iiit-pet-datasetProMetaR#8Harmonic mean: 96.49
prompt-engineering-on-stanford-cars-1ProMetaR#5Harmonic mean: 76.72
prompt-engineering-on-sun397ProMetaR#8Harmonic mean: 80.82
prompt-engineering-on-ucf101ProMetaR#5Harmonic mean: 83.25