Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models

Benchmark Model Rank Results
prompt-engineering-on-caltech-101FARL–Harmonic mean: 97.03
prompt-engineering-on-dtdFARL–Harmonic mean: 74.00
prompt-engineering-on-fgvc-aircraftFARL–Harmonic mean: 42.78
prompt-engineering-on-imagenetFARL–Harmonic mean: 74.53
prompt-engineering-on-oxford-102-flowerFARL–Harmonic mean: 86.65
prompt-engineering-on-oxford-iiit-pet-datasetFARL–Harmonic mean: 96.86
prompt-engineering-on-stanford-carsFARL–Harmonic mean: 78.14
prompt-engineering-on-sun397FARL–Harmonic mean: 80.91