GR-CLIP, a mean-centering calibration that removes CLIP's modality gap, improves mixed modality retrieval by up to 26 NDCG@10 points and outperforms a 75x heavier generative embedding model.
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Closing the Modality Gap for Mixed Modality Search
GR-CLIP, a mean-centering calibration that removes CLIP's modality gap, improves mixed modality retrieval by up to 26 NDCG@10 points and outperforms a 75x heavier generative embedding model.