MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation

Benchmark Model Rank Results
few-shot-domain-generalization-on-imagenet-sketchMMLoP#5Accuracy: 49.07
prompt-engineering-on-imagenet-rMMLoP#8Top-1 accuracy %: 77.63
prompt-engineering-on-imagenet-aMMLoP#11Top-1 accuracy %: 50.83
prompt-engineering-on-imagenet-v2MMLoP#13Top-1 accuracy %: 64.30
prompt-engineering-on-imagenet-sMMLoP#17Top-1 accuracy %: 49.07