A prompt-ranking metric that subtracts semantic similarity to confounding classes selects higher-precision prompts for zero-shot vision-language object detection.
Evaluating multimodal vision- language model prompting strategies for visual question answering in road scene understanding,
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Beyond General Prompts: Automated Prompt Refinement using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models
A prompt-ranking metric that subtracts semantic similarity to confounding classes selects higher-precision prompts for zero-shot vision-language object detection.