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Art Beyond Semantics: Sheaf-Informed Contrastive Learning for Multi-Relational Representations

Schaerf, Ludovica et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitioninformation-retrieval
Understanding a painting is never a single act. Art historians may analyze the same work through concepts of style, iconography, or historical context, dimensions that are not interchangeable, and each carries distinct semantic relationships between the visual and the textual. Vision-Language Models
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