Semantic Representation And Composition Frameworks

via “compositional-visual-understanding-through-structured-annotations”

108K images with dense scene graphs and 5.4M region descriptions.

Unique: Provides explicit decomposition of images into objects, attributes, and relationships, enabling training of compositional models that understand visual scenes through structured components. Scene graphs naturally support compositional learning by representing images as compositions of objects and relationships.

vs others: Enables compositional learning unlike flat image-label datasets; supports training models that generalize to novel combinations of known components