MetaRanker uses active learning with human preference judgments and lightweight VLM priors to rank metalens images by semantic interpretability, achieving closer human alignment with roughly 80% fewer pairwise annotations than exhaustive comparison.
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MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality
MetaRanker uses active learning with human preference judgments and lightweight VLM priors to rank metalens images by semantic interpretability, achieving closer human alignment with roughly 80% fewer pairwise annotations than exhaustive comparison.