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Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
Vision-language models have shown strong performance, but they often generalize poorly to specialized domains. While semi-supervised vision-language learning mitigates this limitation by leveraging a small set of labeled image-text pairs together with abundant unlabeled images, existing methods rema
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