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Compositionality with Primitives: A Unified View from Euclidean to Hyperbolic Vision-Language Models
Compositional zero-shot learning (CZSL) aims to recognize novel combinations of previously observed objects and attributes. Prior work showed that large-scale vision-language models encode decomposable semantic structures that can be recomposed to enable generalization. The Geodesically Decomposable
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