AGA builds token-to-patch and patch-to-token groups via a sparse similarity matrix with adaptive thresholds, and trains a medical image-text model with within-pair contrastive losses.
Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
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AGA: An adaptive group alignment framework for structured medical cross-modal representation learning
AGA builds token-to-patch and patch-to-token groups via a sparse similarity matrix with adaptive thresholds, and trains a medical image-text model with within-pair contrastive losses.