A ridge regression over CLIP similarity scores against a fixed dictionary of generic prompts provides competitive few-shot image classification when class names are unavailable.
Understanding and improving visual prompt- ing: A label-mapping perspective
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Vocabulary-free few-shot learning for Vision-Language Models
A ridge regression over CLIP similarity scores against a fixed dictionary of generic prompts provides competitive few-shot image classification when class names are unavailable.