most citedFill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning

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cs.CV2025★ 1 cited

Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning

François Role, Sébastien Meyer, Victor Amblard

Vision-language models (VLMs) allow to embed texts and images in a shared representation space. However, it has been shown that these models are subject to a modality gap phenomeno…